39079b93d1
Reactions with the same reactants and products but different named third bodies are not considered duplicates and do not need to be marked as such. Normal third body reactions (with 'M' as the third body) are considered duplicates of reactions with specific third bodies if the efficiency for the specific third body is not zero.
1759 lines
70 KiB
Python
Executable file
1759 lines
70 KiB
Python
Executable file
#!/usr/bin/env python
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# encoding: utf-8
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################################################################################
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#
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# Copyright (c) 2009-2011 by the RMG Team (rmg_dev@mit.edu)
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#
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# Permission is hereby granted, free of charge, to any person obtaining a
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# copy of this software and associated documentation files (the 'Software'),
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# to deal in the Software without restriction, including without limitation
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# the rights to use, copy, modify, merge, publish, distribute, sublicense,
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# and/or sell copies of the Software, and to permit persons to whom the
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# Software is furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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# DEALINGS IN THE SOFTWARE.
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#
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################################################################################
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"""
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This module contains functions for converting Chemkin-format input files to
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Cantera input files (CTI).
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"""
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from __future__ import print_function
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from collections import defaultdict
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import logging
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import os.path
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import numpy as np
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import re
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import itertools
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QUANTITY_UNITS = {'MOL': 'mol',
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'MOLE': 'mol',
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'MOLES': 'mol',
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'MOLEC': 'molec',
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'MOLECULES': 'molec'}
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ENERGY_UNITS = {'CAL/': 'cal/mol',
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'CAL/MOL': 'cal/mol',
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'CAL/MOLE': 'cal/mol',
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'EVOL': 'eV',
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'EVOLTS': 'eV',
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'JOUL': 'J/mol',
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'JOULES/MOL': 'J/mol',
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'JOULES/MOLE': 'J/mol',
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'KCAL': 'kcal/mol',
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'KCAL/MOL': 'kcal/mol',
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'KCAL/MOLE': 'kcal/mol',
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'KELV': 'K',
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'KELVIN': 'K',
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'KELVINS': 'K',
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'KJOU': 'kJ/mol',
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'KJOULES/MOL': 'kJ/mol',
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'KJOULES/MOLE': 'kJ/mol'}
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def compatible_quantities(quantity_basis, units):
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if quantity_basis == 'mol':
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return 'molec' not in units
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elif quantity_basis == 'molec':
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return 'molec' in units or 'mol' not in units
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else:
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raise Exception('Unknown quantity basis: "{0}"'.format(quantity_basis))
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class InputParseError(Exception):
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"""
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An exception class for exceptional behavior involving Chemkin-format
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mechanism files. Pass a string describing the circumstances that caused
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the exceptional behavior.
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"""
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pass
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class Species(object):
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def __init__(self, label):
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self.label = label
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self.thermo = None
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self.transport = None
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self.note = None
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self.composition = None
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def __str__(self):
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return self.label
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def to_cti(self, indent=0):
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lines = []
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atoms = ' '.join('{0}:{1}'.format(*a)
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for a in self.composition.items())
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prefix = ' '*(indent+8)
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lines.append('species(name={0!r},'.format(self.label))
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lines.append(prefix + 'atoms={0!r},'.format(atoms))
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if self.thermo:
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lines.append(prefix +
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'thermo={0},'.format(self.thermo.to_cti(15+indent)))
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if self.transport:
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lines.append(prefix +
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'transport={0},'.format(self.transport.to_cti(14+indent)))
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if self.note:
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lines.append(prefix + 'note={0!r},'.format(self.note))
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lines[-1] = lines[-1][:-1] + ')'
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lines.append('')
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return '\n'.join(lines)
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class ThermoModel(object):
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"""
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A base class for thermodynamics models, containing several attributes
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common to all models:
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=============== =================== ========================================
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Attribute Type Description
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=============== =================== ========================================
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`Tmin` ``float`` The minimum temperature at which the model is valid, or ``None`` if unknown or undefined
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`Tmax` ``float`` The maximum temperature at which the model is valid, or ``None`` if unknown or undefined
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`comment` ``str`` Information about the model (e.g. its source)
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=============== =================== ========================================
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"""
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def __init__(self, Tmin=None, Tmax=None, comment=''):
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if Tmin is not None:
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self.Tmin = Tmin
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else:
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self.Tmin = None
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if Tmax is not None:
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self.Tmax = Tmax
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else:
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self.Tmax = None
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self.comment = comment
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class NASA(ThermoModel):
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"""
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A single NASA polynomial for thermodynamic data. The `coeffs` attribute
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stores the seven or nine polynomial coefficients
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:math:`\\mathbf{a} = \\left[a_{-2}\\ a_{-1}\\ a_0\\ a_1\\ a_2\\ a_3\\ a_4\\ a_5\\ a_6 \\right]`
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from which the relevant thermodynamic parameters are evaluated via the
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expressions
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.. math:: \\frac{C_\\mathrm{p}(T)}{R} = a_{-2} T^{-2} + a_{-1} T^{-1} + a_0 + a_1 T + a_2 T^2 + a_3 T^3 + a_4 T^4
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.. math:: \\frac{H(T)}{RT} = - a_{-2} T^{-2} + a_{-1} T^{-1} \\ln T + a_0 + \\frac{1}{2} a_1 T + \\frac{1}{3} a_2 T^2 + \\frac{1}{4} a_3 T^3 + \\frac{1}{5} a_4 T^4 + \\frac{a_5}{T}
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.. math:: \\frac{S(T)}{R} = -\\frac{1}{2} a_{-2} T^{-2} - a_{-1} T^{-1} + a_0 \\ln T + a_1 T + \\frac{1}{2} a_2 T^2 + \\frac{1}{3} a_3 T^3 + \\frac{1}{4} a_4 T^4 + a_6
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For the 7 coefficient form, the first two coefficients are taken to be zero.
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"""
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def __init__(self, coeffs, **kwargs):
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ThermoModel.__init__(self, **kwargs)
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if len(coeffs) not in (7,9):
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raise InputParseError('Invalid number of NASA polynomial coefficients; '
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'should be 7 or 9.')
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self.coeffs = coeffs
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def to_cti(self, indent=0):
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prefix = ' '*indent
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vals = ['{0: 15.8E}'.format(i) for i in self.coeffs]
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if len(self.coeffs) == 7:
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lines = ['NASA([{0:.2f}, {1:.2f}],'.format(self.Tmin[0], self.Tmax[0]),
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prefix+' [{0}, {1}, {2},'.format(*vals[0:3]),
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prefix+' {0}, {1}, {2},'.format(*vals[3:6]),
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prefix+' {0}]),'.format(vals[6])]
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else:
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lines = ['NASA9([{0:.2f}, {1:.2f}],'.format(self.Tmin[0], self.Tmax[0]),
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prefix+' [{0}, {1}, {2},'.format(*vals[0:3]),
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prefix+' {0}, {1}, {2},'.format(*vals[3:6]),
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prefix+' {0}, {1}, {2}]),'.format(*vals[6:9])]
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return '\n'.join(lines)
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class MultiNASA(ThermoModel):
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"""
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A set of thermodynamic parameters given by NASA polynomials. This class
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stores a list of :class:`NASA` objects in the `polynomials`
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attribute. When evaluating a thermodynamic quantity, a polynomial that
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contains the desired temperature within its valid range will be used.
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"""
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def __init__(self, polynomials=None, **kwargs):
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ThermoModel.__init__(self, **kwargs)
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self.polynomials = polynomials or []
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def to_cti(self, indent=0):
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prefix = ' '*indent
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lines = []
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for i,p in enumerate(self.polynomials):
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if i == 0:
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lines.append('({0}'.format(p.to_cti(indent+1)))
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elif i != len(self.polynomials)-1:
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lines.append(prefix + ' {0}'.format(p.to_cti(indent+1)))
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else:
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lines.append(prefix + ' {0})'.format(p.to_cti(indent+1)[:-1]))
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return '\n'.join(lines)
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class Reaction(object):
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"""
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A chemical reaction. The attributes are:
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=================== =========================== ============================
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Attribute Type Description
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=================== =========================== ============================
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`index` :class:`int` A unique nonnegative integer index
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`reactants` :class:`list` The reactant species (as :class:`Species` objects)
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`products` :class:`list` The product species (as :class:`Species` objects)
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`kinetics` :class:`KineticsModel` The kinetics model to use for the reaction
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`reversible` ``bool`` ``True`` if the reaction is reversible, ``False`` if not
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`duplicate` ``bool`` ``True`` if the reaction is known to be a duplicate, ``False`` if not
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`fwdOrders` ``dict`` Reaction order (value) for each specified species (key)
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=================== =========================== ============================
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"""
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def __init__(self, index=-1, reactants=None, products=None, kinetics=None,
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reversible=True, duplicate=False, fwdOrders=None):
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self.index = index
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self.reactants = reactants # list of (stoichiometry, species) tuples
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self.products = products # list of (stoichiometry, specis) tuples
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self.kinetics = kinetics
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self.reversible = reversible
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self.duplicate = duplicate
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self.fwdOrders = fwdOrders if fwdOrders is not None else {}
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self.thirdBody = None
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def _coeff_string(self, coeffs):
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L = []
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for stoichiometry,species in coeffs:
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if stoichiometry != 1:
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L.append('{0} {1}'.format(stoichiometry, species))
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else:
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L.append(str(species))
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expression = ' + '.join(L)
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if self.thirdBody:
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expression += ' (+ {0})'.format(self.thirdBody)
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return expression
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@property
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def reactantString(self):
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return self._coeff_string(self.reactants)
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@property
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def productString(self):
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return self._coeff_string(self.products)
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def __str__(self):
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"""
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Return a string representation of the reaction, in the form 'A + B <=> C + D'.
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"""
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arrow = ' <=> ' if self.reversible else ' -> '
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return arrow.join([self.reactantString, self.productString])
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def to_cti(self, indent=0):
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arrow = ' <=> ' if self.reversible else ' => '
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kinstr = self.kinetics.to_cti(self.reactantString, arrow,
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self.productString, indent)
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k_indent = ' ' * (kinstr.find('(') + 1)
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if self.duplicate:
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kinstr = kinstr[:-1] + ",\n{0}options='duplicate')".format(k_indent)
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if self.fwdOrders:
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order = ' '.join('{0}:{1}'.format(k,v)
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for (k,v) in self.fwdOrders.items())
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kinstr = kinstr[:-1] + ",\n{0}order='{1}')".format(k_indent, order)
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return kinstr
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class KineticsModel(object):
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"""
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A base class for kinetics models, containing several attributes common to
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all models:
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=============== =================== ========================================
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Attribute Type Description
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=============== =================== ========================================
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`Tmin` :class:`Quantity` The minimum absolute temperature in K at which the model is valid
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`Tmax` :class:`Quantity` The maximum absolute temperature in K at which the model is valid
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`Pmin` :class:`Quantity` The minimum absolute pressure in Pa at which the model is valid
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`Pmax` :class:`Quantity` The maximum absolute pressure in Pa at which the model is valid
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`comment` :class:`str` A string containing information about the model (e.g. its source)
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=============== =================== ========================================
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"""
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def __init__(self, Tmin=None, Tmax=None, Pmin=None, Pmax=None, comment='',
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parser=None):
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self.Tmin = Tmin
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self.Tmax = Tmax
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self.Pmin = Pmin
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self.Pmax = Pmax
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self.comment = comment
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self.parser = parser
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self.efficiencies = {}
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def isPressureDependent(self):
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"""
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Return ``True`` if the kinetics are pressure-dependent or ``False`` if
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they are pressure-independent. This method must be overloaded in the
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derived class.
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"""
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raise InputParseError('Unexpected call to KineticsModel.isPressureDependent();'
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' you should be using a class derived from KineticsModel.')
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def to_cti(self, reactantstr, arrow, productstr):
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raise InputParseError('to_cti is not implemented for objects of class {0}'.format(self.__class__.__name__))
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def efficiencyString(self):
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return ' '.join('{0}:{1}'.format(mol, eff)
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for mol,eff in self.efficiencies.items())
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class KineticsData(KineticsModel):
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"""
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A kinetics model based around a set of discrete (high-pressure limit)
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rate coefficients at various temperatures. The attributes are:
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=========== =================== ============================================
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Attribute Type Description
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=========== =================== ============================================
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`Tdata` :class:`Quantity` The temperatures at which the heat capacity data is provided
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`kdata` :class:`Quantity` The rate coefficients in SI units at each temperature in `Tdata`
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=========== =================== ============================================
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"""
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def __init__(self, Tdata=None, kdata=None, **kwargs):
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KineticsModel.__init__(self, **kwargs)
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self.Tdata = Tdata
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self.kdata = kdata
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def isPressureDependent(self):
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"""
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Returns ``False`` since KineticsData kinetics are not
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pressure-dependent.
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"""
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return False
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class Arrhenius(KineticsModel):
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"""
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Represent a set of modified Arrhenius kinetics. The kinetic expression has
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the form
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.. math:: k(T) = A \\left( \\frac{T}{T_0} \\right)^n \\exp \\left( - \\frac{E_\\mathrm{a}}{RT} \\right)
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where :math:`A`, :math:`n`, :math:`E_\\mathrm{a}`, and :math:`T_0` are the
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parameters to be set, :math:`T` is absolute temperature, and :math:`R` is
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the gas law constant. The attributes are:
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=============== =================== ========================================
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Attribute Type Description
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=============== =================== ========================================
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`A` :class:`Quantity` The preexponential factor in s^-1, m^3/mol*s, etc.
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`T0` :class:`Quantity` The reference temperature in K
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`n` :class:`Quantity` The temperature exponent
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`Ea` :class:`Quantity` The activation energy in J/mol
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=============== =================== ========================================
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"""
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def __init__(self, A=0.0, n=0.0, Ea=0.0, T0=1.0, **kwargs):
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KineticsModel.__init__(self, **kwargs)
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self.A = A
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self.T0 = T0
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self.n = n
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self.Ea = Ea
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def isPressureDependent(self):
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"""
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Returns ``False`` since Arrhenius kinetics are not pressure-dependent.
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"""
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return False
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def rateStr(self):
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if compatible_quantities(self.parser.quantity_units, self.A[1]):
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A = '{0:e}'.format(self.A[0])
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else:
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A = "({0:e}, '{1}')".format(*self.A)
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if self.Ea[1] == self.parser.energy_units:
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Ea = str(self.Ea[0])
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else:
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Ea = "({0}, '{1}')".format(*self.Ea)
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return '[{0}, {1}, {2}]'.format(A, self.n, Ea)
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def to_cti(self, reactantstr, arrow, productstr, indent=0):
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rxnstring = reactantstr + arrow + productstr
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return 'reaction({0!r}, {1})'.format(rxnstring, self.rateStr())
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|
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class PDepArrhenius(KineticsModel):
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"""
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A kinetic model of a phenomenological rate coefficient k(T, P) using the
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expression
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.. math:: k(T,P) = A(P) T^{n(P)} \\exp \\left[ \\frac{-E_\\mathrm{a}(P)}{RT} \\right]
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|
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where the modified Arrhenius parameters are stored at a variety of pressures
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and interpolated between on a logarithmic scale. The attributes are:
|
|
|
|
=============== ================== ============================================
|
|
Attribute Type Description
|
|
=============== ================== ============================================
|
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`pressures` :class:`list` The list of pressures in Pa
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`arrhenius` :class:`list` The list of :class:`Arrhenius` objects at each pressure
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`highPlimit` :class:`Arrhenius` The high (infinite) pressure limiting :class:`Arrhenius` expression
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|
=============== ================== ============================================
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Note that `highPlimit` is not used in evaluating k(T,P).
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"""
|
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|
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def __init__(self, pressures=None, arrhenius=None, highPlimit=None, **kwargs):
|
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KineticsModel.__init__(self, **kwargs)
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self.pressures = pressures
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self.arrhenius = arrhenius or []
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self.highPlimit = highPlimit or None
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|
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def isPressureDependent(self):
|
|
"""
|
|
Returns ``True`` since PDepArrhenius kinetics are pressure-dependent.
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|
"""
|
|
return True
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|
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def to_cti(self, reactantstr, arrow, productstr, indent=0):
|
|
rxnstring = reactantstr + arrow + productstr
|
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lines = ['pdep_arrhenius({0!r},'.format(rxnstring)]
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prefix = ' '*(indent+15)
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template = '[({0}, {1!r}), {2.A[0]:e}, {2.n}, {2.Ea[0]}],'
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for pressure,arrhenius in zip(self.pressures[0], self.arrhenius):
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lines.append(prefix + template.format(pressure,
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self.pressures[1],
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arrhenius))
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lines[-1] = lines[-1][:-1] + ')'
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return '\n'.join(lines)
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|
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|
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class Chebyshev(KineticsModel):
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"""
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|
A kinetic model of a phenomenological rate coefficient k(T, P) using the
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expression
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|
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.. math:: \\log k(T,P) = \\sum_{t=1}^{N_T} \\sum_{p=1}^{N_P} \\alpha_{tp} \\phi_t(\\tilde{T}) \\phi_p(\\tilde{P})
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|
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where :math:`\\alpha_{tp}` is a constant, :math:`\\phi_n(x)` is the
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Chebyshev polynomial of degree :math:`n` evaluated at :math:`x`, and
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|
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.. math:: \\tilde{T} \\equiv \\frac{2T^{-1} - T_\\mathrm{min}^{-1} - T_\\mathrm{max}^{-1}}{T_\\mathrm{max}^{-1} - T_\\mathrm{min}^{-1}}
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|
|
.. math:: \\tilde{P} \\equiv \\frac{2 \\log P - \\log P_\\mathrm{min} - \\log P_\\mathrm{max}}{\\log P_\\mathrm{max} - \\log P_\\mathrm{min}}
|
|
|
|
are reduced temperature and reduced pressures designed to map the ranges
|
|
:math:`(T_\\mathrm{min}, T_\\mathrm{max})` and
|
|
:math:`(P_\\mathrm{min}, P_\\mathrm{max})` to :math:`(-1, 1)`.
|
|
The attributes are:
|
|
|
|
=============== =============== ============================================
|
|
Attribute Type Description
|
|
=============== =============== ============================================
|
|
`coeffs` :class:`list` Matrix of Chebyshev coefficients
|
|
`kunits` ``str`` The units of the generated k(T, P) values
|
|
`degreeT` :class:`int` The number of terms in the inverse temperature direction
|
|
`degreeP` :class:`int` The number of terms in the log pressure direction
|
|
=============== =============== ============================================
|
|
|
|
"""
|
|
|
|
def __init__(self, coeffs=None, kunits='', **kwargs):
|
|
KineticsModel.__init__(self, **kwargs)
|
|
if coeffs is not None:
|
|
self.coeffs = np.array(coeffs, np.float64)
|
|
self.degreeT = self.coeffs.shape[0]
|
|
self.degreeP = self.coeffs.shape[1]
|
|
else:
|
|
self.coeffs = None
|
|
self.degreeT = 0
|
|
self.degreeP = 0
|
|
self.kunits = kunits
|
|
|
|
def isPressureDependent(self):
|
|
"""
|
|
Returns ``True`` since Chebyshev polynomial kinetics are
|
|
pressure-dependent.
|
|
"""
|
|
return True
|
|
|
|
def to_cti(self, reactantstr, arrow, productstr, indent=0):
|
|
rxnstr = reactantstr + arrow + productstr
|
|
prefix = ' '*(indent+19)
|
|
lines = ['chebyshev_reaction({0!r},'.format(rxnstr),
|
|
prefix + 'Tmin={0.Tmin}, Tmax={0.Tmax},'.format(self),
|
|
prefix + 'Pmin={0.Pmin}, Pmax={0.Pmax},'.format(self)]
|
|
for i in range(self.degreeT):
|
|
coeffline = ', '.join('{0: 12.5e}'.format(self.coeffs[i,j]) for j in range(self.degreeP))
|
|
if i == 0:
|
|
lines.append(prefix + 'coeffs=[[{0}],'.format(coeffline))
|
|
else:
|
|
lines.append(prefix + ' [{0}],'.format(coeffline))
|
|
|
|
lines[-1] = lines[-1][:-1] + '])'
|
|
return '\n'.join(lines)
|
|
|
|
|
|
class ThirdBody(KineticsModel):
|
|
"""
|
|
A kinetic model of a phenomenological rate coefficient k(T, P) using the
|
|
expression
|
|
|
|
.. math:: k(T,P) = k(T) [\\ce{M}]
|
|
|
|
where :math:`k(T)` is an Arrhenius expression and
|
|
:math:`[\\ce{M}] \\approx P/RT` is the concentration of the third body
|
|
(i.e. the bath gas). A collision efficiency can be used to further correct
|
|
the value of :math:`k(T,P)`.
|
|
|
|
The attributes are:
|
|
|
|
=============== ======================= ====================================
|
|
Attribute Type Description
|
|
=============== ======================= ====================================
|
|
`arrheniusHigh` :class:`Arrhenius` The Arrhenius kinetics
|
|
`efficiencies` ``dict`` A mapping of species to collider efficiencies
|
|
=============== ======================= ====================================
|
|
|
|
"""
|
|
|
|
def __init__(self, arrheniusHigh=None, efficiencies=None, **kwargs):
|
|
KineticsModel.__init__(self, **kwargs)
|
|
self.arrheniusHigh = arrheniusHigh
|
|
self.efficiencies = {}
|
|
if efficiencies is not None:
|
|
for mol, eff in efficiencies.items():
|
|
self.efficiencies[mol] = eff
|
|
|
|
def isPressureDependent(self):
|
|
"""
|
|
Returns ``True`` since third-body kinetics are pressure-dependent.
|
|
"""
|
|
return True
|
|
|
|
def to_cti(self, reactantstr, arrow, productstr, indent=0):
|
|
rxnstr = reactantstr + ' + M' + arrow + productstr + ' + M'
|
|
prefix = ' '*(indent + 20)
|
|
lines = ['three_body_reaction({0!r}, {1},'.format(rxnstr, self.arrheniusHigh.rateStr())]
|
|
if self.efficiencies:
|
|
lines.append(prefix + 'efficiencies={0!r},'.format(self.efficiencyString()))
|
|
|
|
lines[-1] = lines[-1][:-1] + ')'
|
|
return '\n'.join(lines)
|
|
|
|
|
|
class Lindemann(ThirdBody):
|
|
"""
|
|
A kinetic model of a phenomenological rate coefficient k(T, P) using the
|
|
expression
|
|
|
|
.. math:: k(T,P) = k_\\infty(T) \\left[ \\frac{P_\\mathrm{r}}{1 + P_\\mathrm{r}} \\right] F
|
|
|
|
where
|
|
|
|
.. math::
|
|
|
|
P_\\mathrm{r} &= \\frac{k_0(T)}{k_\\infty(T)} [\\ce{M}]
|
|
|
|
k_0(T) &= A_0 T^{n_0} \\exp \\left( - \\frac{E_0}{RT} \\right)
|
|
|
|
k_\\infty(T) &= A_\\infty T^{n_\\infty} \\exp \\left( - \\frac{E_\\infty}{RT} \\right)
|
|
|
|
and :math:`[\\ce{M}] \\approx P/RT` is the concentration of the
|
|
bath gas. The Arrhenius expressions :math:`k_0(T)` and :math:`k_\\infty(T)`
|
|
represent the low-pressure and high-pressure limit kinetics, respectively.
|
|
The former is necessarily one reaction order higher than the latter. For
|
|
the Lindemann model, :math:`F = 1`. A collision efficiency can be used to
|
|
further correct the value of :math:`k(T,P)`.
|
|
|
|
The attributes are:
|
|
|
|
=============== ======================= ====================================
|
|
Attribute Type Description
|
|
=============== ======================= ====================================
|
|
`arrheniusLow` :class:`Arrhenius` The Arrhenius kinetics at the low-pressure limit
|
|
`arrheniusHigh` :class:`Arrhenius` The Arrhenius kinetics at the high-pressure limit
|
|
`efficiencies` ``dict`` A mapping of species to collider efficiencies
|
|
=============== ======================= ====================================
|
|
|
|
"""
|
|
|
|
def __init__(self, arrheniusLow=None, **kwargs):
|
|
ThirdBody.__init__(self, **kwargs)
|
|
self.arrheniusLow = arrheniusLow
|
|
|
|
def to_cti(self, reactantstr, arrow, productstr, indent=0):
|
|
rxnstr = reactantstr + arrow + productstr
|
|
prefix = ' '*(indent + 17)
|
|
lines = ['falloff_reaction({0!r},'.format(rxnstr)]
|
|
lines.append(prefix + 'kf={0},'.format(self.arrheniusHigh.rateStr()))
|
|
lines.append(prefix + 'kf0={0},'.format(self.arrheniusLow.rateStr()))
|
|
if self.efficiencies:
|
|
lines.append(prefix + 'efficiencies={0!r},'.format(self.efficiencyString()))
|
|
|
|
lines[-1] = lines[-1][:-1] + ')'
|
|
return '\n'.join(lines)
|
|
|
|
|
|
class Troe(Lindemann):
|
|
"""
|
|
A kinetic model of a phenomenological rate coefficient k(T, P) using the
|
|
expression
|
|
|
|
.. math:: k(T,P) = k_\\infty(T) \\left[ \\frac{P_\\mathrm{r}}{1 + P_\\mathrm{r}} \\right] F
|
|
|
|
where
|
|
|
|
.. math::
|
|
|
|
P_\\mathrm{r} &= \\frac{k_0(T)}{k_\\infty(T)} [\\ce{M}]
|
|
|
|
k_0(T) &= A_0 T^{n_0} \\exp \\left( - \\frac{E_0}{RT} \\right)
|
|
|
|
k_\\infty(T) &= A_\\infty T^{n_\\infty} \\exp \\left( - \\frac{E_\\infty}{RT} \\right)
|
|
|
|
and :math:`[\\ce{M}] \\approx P/RT` is the concentration of the
|
|
bath gas. The Arrhenius expressions :math:`k_0(T)` and :math:`k_\\infty(T)`
|
|
represent the low-pressure and high-pressure limit kinetics, respectively.
|
|
The former is necessarily one reaction order higher than the latter. A
|
|
collision efficiency can be used to further correct the value of
|
|
:math:`k(T,P)`.
|
|
|
|
For the Troe model the parameter :math:`F` is computed via
|
|
|
|
.. math::
|
|
|
|
\\log F &= \\left\\{1 + \\left[ \\frac{\\log P_\\mathrm{r} + c}{n - d (\\log P_\\mathrm{r} + c)} \\right]^2 \\right\\}^{-1} \\log F_\\mathrm{cent}
|
|
|
|
c &= -0.4 - 0.67 \\log F_\\mathrm{cent}
|
|
|
|
n &= 0.75 - 1.27 \\log F_\\mathrm{cent}
|
|
|
|
d &= 0.14
|
|
|
|
F_\\mathrm{cent} &= (1 - \\alpha) \\exp \\left( -T/T_3 \\right) + \\alpha \\exp \\left( -T/T_1 \\right) + \\exp \\left( -T_2/T \\right)
|
|
|
|
The attributes are:
|
|
|
|
=============== ======================= ====================================
|
|
Attribute Type Description
|
|
=============== ======================= ====================================
|
|
`arrheniusLow` :class:`Arrhenius` The Arrhenius kinetics at the low-pressure limit
|
|
`arrheniusHigh` :class:`Arrhenius` The Arrhenius kinetics at the high-pressure limit
|
|
`efficiencies` ``dict`` A mapping of species to collider efficiencies
|
|
`alpha` :class:`Quantity` The :math:`\\alpha` parameter
|
|
`T1` :class:`Quantity` The :math:`T_1` parameter
|
|
`T2` :class:`Quantity` The :math:`T_2` parameter
|
|
`T3` :class:`Quantity` The :math:`T_3` parameter
|
|
=============== ======================= ====================================
|
|
|
|
"""
|
|
|
|
def __init__(self, alpha=0.0, T3=0.0, T1=0.0, T2=None, **kwargs):
|
|
Lindemann.__init__(self, **kwargs)
|
|
self.alpha = alpha
|
|
self.T3 = T3
|
|
self.T1 = T1
|
|
self.T2 = T2
|
|
|
|
def to_cti(self, reactantstr, arrow, productstr, indent=0):
|
|
rxnstr = reactantstr + arrow + productstr
|
|
prefix = ' '*17
|
|
lines = ['falloff_reaction({0!r},'.format(rxnstr),
|
|
prefix + 'kf={0},'.format(self.arrheniusHigh.rateStr()),
|
|
prefix + 'kf0={0},'.format(self.arrheniusLow.rateStr())]
|
|
|
|
if self.T2:
|
|
troeArgs = 'A={0.alpha[0]}, T3={0.T3[0]}, T1={0.T1[0]}, T2={0.T2[0]}'.format(self)
|
|
else:
|
|
troeArgs = 'A={0.alpha[0]}, T3={0.T3[0]}, T1={0.T1[0]}'.format(self)
|
|
lines.append(prefix + 'falloff=Troe({0}),'.format(troeArgs))
|
|
|
|
if self.efficiencies:
|
|
lines.append(prefix + 'efficiencies={0!r},'.format(self.efficiencyString()))
|
|
|
|
# replace trailing comma
|
|
lines[-1] = lines[-1][:-1] + ')'
|
|
return '\n'.join(lines)
|
|
|
|
|
|
class Sri(Lindemann):
|
|
"""
|
|
A kinetic model of a phenomenological rate coefficient k(T, P) using the
|
|
"SRI" formulation of the blending function :math:`F` using either 3 or
|
|
5 parameters. See :ref:`sec-sri-falloff`.
|
|
|
|
The attributes are:
|
|
|
|
=============== ======================= ====================================
|
|
Attribute Type Description
|
|
=============== ======================= ====================================
|
|
`arrheniusLow` :class:`Arrhenius` The Arrhenius kinetics at the low-pressure limit
|
|
`arrheniusHigh` :class:`Arrhenius` The Arrhenius kinetics at the high-pressure limit
|
|
`efficiencies` ``dict`` A mapping of species to collider efficiencies
|
|
`A` ``float`` The :math:`a` parameter
|
|
`B` ``float`` The :math:`b` parameter
|
|
`C` ``float`` The :math:`c` parameter
|
|
`D` ``float`` The :math:`d` parameter
|
|
`E` ``float`` The :math:`e` parameter
|
|
=============== ======================= ====================================
|
|
"""
|
|
|
|
def __init__(self, A=0.0, B=0.0, C=0.0, D=1.0, E=0.0, **kwargs):
|
|
Lindemann.__init__(self, **kwargs)
|
|
self.A = A
|
|
self.B = B
|
|
self.C = C
|
|
self.D = D
|
|
self.E = E
|
|
|
|
def to_cti(self, reactantstr, arrow, productstr, indent=0):
|
|
rxnstr = reactantstr + arrow + productstr
|
|
prefix = ' '*17
|
|
lines = ['falloff_reaction({0!r},'.format(rxnstr),
|
|
prefix + 'kf={0},'.format(self.arrheniusHigh.rateStr()),
|
|
prefix + 'kf0={0},'.format(self.arrheniusLow.rateStr())]
|
|
|
|
if self.D == 1.0 and self.E == 0.0:
|
|
sriArgs = 'A={0.A}, B={0.B}, C={0.C}'.format(self)
|
|
else:
|
|
sriArgs = 'A={0.A}, B={0.B}, C={0.C}, D={0.D}, E={0.E}'.format(self)
|
|
lines.append(prefix + 'falloff=SRI({0}),'.format(sriArgs))
|
|
|
|
if self.efficiencies:
|
|
lines.append(prefix + 'efficiencies={0!r},'.format(self.efficiencyString()))
|
|
|
|
# replace trailing comma
|
|
lines[-1] = lines[-1][:-1] + ')'
|
|
return '\n'.join(lines)
|
|
|
|
|
|
class TransportData(object):
|
|
geometryFlags = ['atom', 'linear', 'nonlinear']
|
|
|
|
def __init__(self, label, geometry, wellDepth, collisionDiameter,
|
|
dipoleMoment, polarizability, zRot, comment=None):
|
|
|
|
if int(geometry) not in (0,1,2):
|
|
raise InputParseError("Bad geometry flag '{0}' for species '{1}'".format(geometry, label))
|
|
|
|
self.label = label
|
|
self.geometry = self.geometryFlags[int(geometry)]
|
|
self.wellDepth = float(wellDepth)
|
|
self.collisionDiameter = float(collisionDiameter)
|
|
self.dipoleMoment = float(dipoleMoment)
|
|
self.polarizability = float(polarizability)
|
|
self.zRot = float(zRot)
|
|
self.comment = comment or '' # @todo: include this in the CTI
|
|
|
|
def __repr__(self):
|
|
return ('TransportData({label!r}, {geometry!r}, {wellDepth!r}, '
|
|
'{collisionDiameter!r}, {dipoleMoment!r}, {polarizability!r}, '
|
|
'{zRot!r}, {comment!r})').format(**self.__dict__)
|
|
|
|
def to_cti(self, indent=0):
|
|
prefix = ' '*(indent+18)
|
|
lines = ['gas_transport(geom={0!r},'.format(self.geometry),
|
|
prefix+'diam={0},'.format(self.collisionDiameter),
|
|
prefix+'well_depth={0},'.format(self.wellDepth)]
|
|
if self.dipoleMoment:
|
|
lines.append(prefix+'dipole={0},'.format(self.dipoleMoment))
|
|
if self.polarizability:
|
|
lines.append(prefix+'polar={0},'.format(self.polarizability))
|
|
if self.zRot:
|
|
lines.append(prefix+'rot_relax={0},'.format(self.zRot))
|
|
|
|
lines[-1] = lines[-1][:-1] + ')'
|
|
return '\n'.join(lines)
|
|
|
|
|
|
def fortFloat(s):
|
|
"""
|
|
Convert a string representation of a floating point value to a float,
|
|
allowing for some of the peculiarities of allowable Fortran representations.
|
|
"""
|
|
s = s.strip()
|
|
s = s.replace('D', 'E').replace('d', 'e')
|
|
s = s.replace('E ', 'E+').replace('e ', 'e+')
|
|
return float(s)
|
|
|
|
|
|
def get_index(seq, value):
|
|
"""
|
|
Find the first location in *seq* which contains a case-insensitive,
|
|
whitespace-insensitive match for *value*. Returns *None* if no match is
|
|
found.
|
|
"""
|
|
if isinstance(seq, str):
|
|
seq = seq.split()
|
|
value = value.lower().strip()
|
|
for i,item in enumerate(seq):
|
|
if item.lower() == value:
|
|
return i
|
|
return None
|
|
|
|
def contains(seq, value):
|
|
if isinstance(seq, str):
|
|
return value.lower() in seq.lower()
|
|
else:
|
|
return get_index(seq, value) is not None
|
|
|
|
|
|
class Parser(object):
|
|
def __init__(self):
|
|
self.processed_units = False
|
|
self.energy_units = 'cal/mol'
|
|
self.quantity_units = 'mol'
|
|
self.warning_as_error = True
|
|
|
|
self.elements = []
|
|
self.speciesList = []
|
|
self.speciesDict = {}
|
|
self.reactions = []
|
|
|
|
def warn(self, message):
|
|
if self.warning_as_error:
|
|
raise InputParseError(message)
|
|
else:
|
|
logging.warning(message)
|
|
|
|
def parseComposition(self, elements, nElements, width):
|
|
"""
|
|
Parse the elemental composition from a 7 or 9 coefficient NASA polynomial
|
|
entry.
|
|
"""
|
|
composition = {}
|
|
for i in range(nElements):
|
|
symbol = elements[width*i:width*i+2].strip()
|
|
count = elements[width*i+2:width*i+width].strip()
|
|
if not symbol:
|
|
continue
|
|
try:
|
|
count = int(float(count))
|
|
if count:
|
|
composition[symbol.capitalize()] = count
|
|
except ValueError:
|
|
pass
|
|
return composition
|
|
|
|
def getRateConstantUnits(self, length_dims, length_units, quantity_dims,
|
|
quantity_units, time_dims=1, time_units='s'):
|
|
|
|
units = ''
|
|
if length_dims:
|
|
units += length_units
|
|
if length_dims > 1:
|
|
units += str(length_dims)
|
|
if quantity_dims:
|
|
units += '/' + quantity_units
|
|
if quantity_dims > 1:
|
|
units += str(quantity_dims)
|
|
if time_dims:
|
|
units += '/' + time_units
|
|
if time_dims > 1:
|
|
units += str(time_dims)
|
|
if units.startswith('/'):
|
|
units = '1' + units
|
|
return units
|
|
|
|
def readThermoEntry(self, entry, TintDefault):
|
|
"""
|
|
Read a thermodynamics `entry` for one species in a Chemkin-format file
|
|
(consisting of two 7-coefficient NASA polynomials). Returns the label of
|
|
the species, the thermodynamics model as a :class:`MultiNASA` object, the
|
|
elemental composition of the species, and the comment/note associated with
|
|
the thermo entry.
|
|
"""
|
|
lines = entry.splitlines()
|
|
identifier = lines[0][0:24].split()
|
|
species = identifier[0].strip()
|
|
|
|
if len(identifier) > 1:
|
|
note = ''.join(identifier[1:]).strip()
|
|
else:
|
|
note = ''
|
|
|
|
# Extract the NASA polynomial coefficients
|
|
# Remember that the high-T polynomial comes first!
|
|
try:
|
|
Tmin = fortFloat(lines[0][45:55])
|
|
Tmax = fortFloat(lines[0][55:65])
|
|
try:
|
|
Tint = fortFloat(lines[0][65:75])
|
|
except ValueError:
|
|
Tint = TintDefault
|
|
|
|
coeffs_high = [fortFloat(lines[i][j:k])
|
|
for i,j,k in [(1,0,15), (1,15,30), (1,30,45), (1,45,60),
|
|
(1,60,75), (2,0,15), (2,15,30)]]
|
|
coeffs_low = [fortFloat(lines[i][j:k])
|
|
for i,j,k in [(2,30,45), (2,45,60), (2,60,75), (3,0,15),
|
|
(3,15,30), (3,30,45), (3,45,60)]]
|
|
|
|
except (IndexError, ValueError):
|
|
raise InputParseError('Error while reading thermo entry for species {0}'.format(species))
|
|
|
|
composition = self.parseComposition(lines[0][24:44], 4, 5)
|
|
|
|
# Non-standard extended elemental composition data may be located beyond
|
|
# column 80 on the first line of the thermo entry
|
|
if len(lines[0]) > 80:
|
|
elements = lines[0][80:]
|
|
composition2 = self.parseComposition(elements, len(elements)//10, 10)
|
|
composition.update(composition2)
|
|
|
|
# Construct and return the thermodynamics model
|
|
thermo = MultiNASA(
|
|
polynomials=[
|
|
NASA(Tmin=(Tmin,"K"), Tmax=(Tint,"K"), coeffs=coeffs_low),
|
|
NASA(Tmin=(Tint,"K"), Tmax=(Tmax,"K"), coeffs=coeffs_high)
|
|
],
|
|
Tmin=(Tmin,"K"),
|
|
Tmax=(Tmax,"K"),
|
|
)
|
|
|
|
return species, thermo, composition, note
|
|
|
|
def readNasa9Entry(self, entry):
|
|
"""
|
|
Read a thermodynamics `entry` for one species given as one or more
|
|
9-coefficient NASA polynomials, written in the format described in
|
|
Appendix A of NASA Reference Publication 1311 (McBride and Gordon, 1996).
|
|
Returns the label of the species, the thermodynamics model as a
|
|
:class:`MultiNASA` object, the elemental composition of the species, and
|
|
the comment/note associated with the thermo entry.
|
|
"""
|
|
tokens = entry[0].split()
|
|
species = tokens[0]
|
|
note = ' '.join(tokens[1:])
|
|
N = int(entry[1][:2])
|
|
note2 = entry[1][3:9].strip()
|
|
if note and note2:
|
|
note = '{0} [{1}]'.format(note, note2)
|
|
elif note2:
|
|
note = note2
|
|
|
|
composition = self.parseComposition(entry[1][10:50], 5, 8)
|
|
|
|
polys = []
|
|
totalTmin = 1e100
|
|
totalTmax = -1e100
|
|
try:
|
|
for i in range(N):
|
|
A,B,C = entry[2+3*i:2+3*(i+1)]
|
|
Tmin = fortFloat(A[1:11])
|
|
Tmax = fortFloat(A[11:21])
|
|
coeffs = [fortFloat(B[0:16]), fortFloat(B[16:32]),
|
|
fortFloat(B[32:48]), fortFloat(B[48:64]),
|
|
fortFloat(B[64:80]), fortFloat(C[0:16]),
|
|
fortFloat(C[16:32]), fortFloat(C[48:64]),
|
|
fortFloat(C[64:80])]
|
|
polys.append(NASA(Tmin=(Tmin,"K"), Tmax=(Tmax,"K"), coeffs=coeffs))
|
|
totalTmin = min(Tmin, totalTmin)
|
|
totalTmax = max(Tmax, totalTmax)
|
|
except (IndexError, ValueError):
|
|
raise InputParseError('Error while reading thermo entry for species {0}'.format(species))
|
|
|
|
thermo = MultiNASA(polynomials=polys,
|
|
Tmin=(totalTmin,"K"),
|
|
Tmax=(totalTmax,"K"))
|
|
|
|
return species, thermo, composition, note
|
|
|
|
def readKineticsEntry(self, entry):
|
|
"""
|
|
Read a kinetics `entry` for a single reaction as loaded from a
|
|
Chemkin-format file. Returns a :class:`Reaction` object with the
|
|
reaction and its associated kinetics.
|
|
"""
|
|
|
|
# Handle non-default units which apply to this entry
|
|
energy_units = self.energy_units
|
|
quantity_units = self.quantity_units
|
|
if 'units' in entry.lower():
|
|
for units in sorted(QUANTITY_UNITS, key=lambda k: -len(k)):
|
|
pattern = re.compile(r'units *\/ *%s *\/' % re.escape(units),
|
|
flags=re.IGNORECASE)
|
|
m = pattern.search(entry)
|
|
if m:
|
|
entry = pattern.sub('', entry)
|
|
quantity_units = QUANTITY_UNITS[units]
|
|
break
|
|
|
|
for units in sorted(ENERGY_UNITS, key=lambda k: -len(k)):
|
|
pattern = re.compile(r'units *\/ *%s *\/' % re.escape(units),
|
|
re.IGNORECASE)
|
|
m = pattern.search(entry)
|
|
if m:
|
|
entry = pattern.sub('', entry)
|
|
energy_units = ENERGY_UNITS[units]
|
|
break
|
|
|
|
lines = entry.strip().splitlines()
|
|
|
|
# The first line contains the reaction equation and a set of modified Arrhenius parameters
|
|
tokens = lines[0].split()
|
|
A = float(tokens[-3])
|
|
n = float(tokens[-2])
|
|
Ea = float(tokens[-1])
|
|
reaction = ''.join(tokens[:-3])
|
|
revReaction = None
|
|
|
|
# Split the reaction equation into reactants and products
|
|
if '<=>' in reaction:
|
|
reversible = True
|
|
reactants, products = reaction.split('<=>')
|
|
elif '=>' in reaction:
|
|
reversible = False
|
|
reactants, products = reaction.split('=>')
|
|
elif '=' in reaction:
|
|
reversible = True
|
|
reactants, products = reaction.split('=')
|
|
else:
|
|
raise InputParseError("Failed to find reactant/product delimiter in reaction string.")
|
|
|
|
# Create a new Reaction object for this reaction
|
|
reaction = Reaction(reactants=[], products=[], reversible=reversible)
|
|
|
|
def parseExpression(expression, dest):
|
|
falloff3b = None
|
|
thirdBody = False # simple third body reaction (non-falloff)
|
|
|
|
# Look for third-body species for falloff reactions
|
|
if re.search(r'\(\+[Mm]\)', expression):
|
|
falloff3b = 'M'
|
|
expression = re.sub(r'(\(\+[Mm]\))', '', expression)
|
|
elif re.search(r'\(\+.*\)', expression):
|
|
# See if it matches a known species
|
|
for species in self.speciesDict:
|
|
if re.search(r'\(\+%s\)' % re.escape(species), expression):
|
|
falloff3b = species
|
|
expression = re.sub(r'(\(\+%s\))' % re.escape(species),
|
|
'', expression)
|
|
break
|
|
|
|
for term in expression.split('+'):
|
|
term = term.strip()
|
|
if not term[0].isalpha():
|
|
# This allows for for non-unity stoichiometric coefficients, e.g.
|
|
# 2A=B+C or .85A+.15B=>C
|
|
j = [i for i,c in enumerate(term) if c.isalpha()][0]
|
|
if term[:j].isdigit():
|
|
stoichiometry = int(term[:j])
|
|
else:
|
|
stoichiometry = float(term[:j])
|
|
species = term[j:]
|
|
else:
|
|
species = term
|
|
stoichiometry = 1
|
|
|
|
if species == 'M' or species == 'm':
|
|
thirdBody = True
|
|
elif species not in self.speciesDict:
|
|
raise InputParseError('Unexpected species "{0}" in reaction expression "{1}".'.format(species, expression))
|
|
else:
|
|
dest.append((stoichiometry, self.speciesDict[species]))
|
|
|
|
return falloff3b, thirdBody
|
|
|
|
falloff_3b_r, thirdBody = parseExpression(reactants, reaction.reactants)
|
|
falloff_3b_p, thirdBody = parseExpression(products, reaction.products)
|
|
|
|
if falloff_3b_r != falloff_3b_p:
|
|
raise InputParseError('Third bodies do not match: "{0}" and "{1}" in'
|
|
' reaction entry:\n\n{2}'.format(falloff_3b_r, falloff_3b_p, entry))
|
|
|
|
reaction.thirdBody = falloff_3b_r
|
|
|
|
# Determine the appropriate units for k(T) and k(T,P) based on the number of reactants
|
|
# This assumes elementary kinetics for all reactions
|
|
rStoich = sum(r[0] for r in reaction.reactants) + (1 if thirdBody else 0)
|
|
if rStoich > 3 or rStoich < 1:
|
|
raise InputParseError('Invalid number of reactant species ({0}) for reaction {1}.'.format(rStoich, reaction))
|
|
|
|
length_dim = 3 * (rStoich - 1)
|
|
quantity_dim = rStoich - 1
|
|
kunits = self.getRateConstantUnits(length_dim, 'cm',
|
|
quantity_dim, quantity_units)
|
|
klow_units = self.getRateConstantUnits(length_dim + 3, 'cm',
|
|
quantity_dim + 1, quantity_units)
|
|
|
|
# The rest of the first line contains the high-P limit Arrhenius parameters (if available)
|
|
#tokens = lines[0][52:].split()
|
|
tokens = lines[0].split()[1:]
|
|
arrheniusHigh = Arrhenius(
|
|
A=(A,kunits),
|
|
n=n,
|
|
Ea=(Ea, energy_units),
|
|
T0=(1,"K"),
|
|
parser=self
|
|
)
|
|
|
|
if len(lines) == 1:
|
|
# If there's only one line then we know to use the high-P limit kinetics as-is
|
|
reaction.kinetics = arrheniusHigh
|
|
else:
|
|
# There's more kinetics information to be read
|
|
arrheniusLow = None
|
|
troe = None
|
|
sri = None
|
|
chebyshev = None
|
|
pdepArrhenius = None
|
|
efficiencies = {}
|
|
chebyshevCoeffs = []
|
|
revReaction = None
|
|
|
|
# Note that the subsequent lines could be in any order
|
|
for line in lines[1:]:
|
|
tokens = line.split('/')
|
|
if 'dup' in line.lower():
|
|
# Duplicate reaction
|
|
reaction.duplicate = True
|
|
|
|
elif 'low' in line.lower():
|
|
# Low-pressure-limit Arrhenius parameters
|
|
tokens = tokens[1].split()
|
|
arrheniusLow = Arrhenius(
|
|
A=(float(tokens[0].strip()),klow_units),
|
|
n=float(tokens[1].strip()),
|
|
Ea=(float(tokens[2].strip()),energy_units),
|
|
T0=(1,"K"),
|
|
parser=self
|
|
)
|
|
|
|
elif 'rev' in line.lower():
|
|
reaction.reversible = False
|
|
|
|
# Create a reaction proceeding in the opposite direction
|
|
revReaction = Reaction(reactants=reaction.products,
|
|
products=reaction.reactants,
|
|
reversible=False)
|
|
tokens = tokens[1].split()
|
|
revReaction.kinetics = Arrhenius(
|
|
A=(float(tokens[0].strip()),klow_units),
|
|
n=float(tokens[1].strip()),
|
|
Ea=(float(tokens[2].strip()),energy_units),
|
|
T0=(1,"K"),
|
|
parser=self
|
|
)
|
|
|
|
elif 'ford' in line.lower():
|
|
tokens = tokens[1].split()
|
|
reaction.fwdOrders[tokens[0].strip()] = tokens[1].strip()
|
|
|
|
elif 'troe' in line.lower():
|
|
# Troe falloff parameters
|
|
tokens = tokens[1].split()
|
|
alpha = float(tokens[0].strip())
|
|
T3 = float(tokens[1].strip())
|
|
T1 = float(tokens[2].strip())
|
|
try:
|
|
T2 = float(tokens[3].strip())
|
|
except (IndexError, ValueError):
|
|
T2 = None
|
|
|
|
troe = Troe(
|
|
alpha=(alpha,''),
|
|
T3=(T3,"K"),
|
|
T1=(T1,"K"),
|
|
T2=(T2,"K") if T2 is not None else None,
|
|
parser=self
|
|
)
|
|
elif 'sri' in line.lower():
|
|
# SRI falloff parameters
|
|
tokens = tokens[1].split()
|
|
A = float(tokens[0].strip())
|
|
B = float(tokens[1].strip())
|
|
C = float(tokens[2].strip())
|
|
try:
|
|
D = float(tokens[3].strip())
|
|
E = float(tokens[4].strip())
|
|
except (IndexError, ValueError):
|
|
D = None
|
|
E = None
|
|
|
|
if D is None or E is None:
|
|
sri = Sri(A=A, B=B, C=C, parser=self)
|
|
else:
|
|
sri = Sri(A=A, B=B, C=C, D=D, E=E, parser=self)
|
|
|
|
elif 'cheb' in line.lower():
|
|
# Chebyshev parameters
|
|
if chebyshev is None:
|
|
chebyshev = Chebyshev()
|
|
tokens = [t.strip() for t in tokens]
|
|
if 'TCHEB' in line:
|
|
index = tokens.index('TCHEB')
|
|
tokens2 = tokens[index+1].split()
|
|
chebyshev.Tmin = float(tokens2[0].strip())
|
|
chebyshev.Tmax = float(tokens2[1].strip())
|
|
if 'PCHEB' in line:
|
|
index = tokens.index('PCHEB')
|
|
tokens2 = tokens[index+1].split()
|
|
chebyshev.Pmin = (float(tokens2[0].strip()), 'atm')
|
|
chebyshev.Pmax = (float(tokens2[1].strip()), 'atm')
|
|
if 'TCHEB' in line or 'PCHEB' in line:
|
|
pass
|
|
elif chebyshev.degreeT == 0 or chebyshev.degreeP == 0:
|
|
tokens2 = tokens[1].split()
|
|
chebyshev.degreeT = int(float(tokens2[0].strip()))
|
|
chebyshev.degreeP = int(float(tokens2[1].strip()))
|
|
chebyshev.coeffs = np.zeros((chebyshev.degreeT,chebyshev.degreeP), np.float64)
|
|
else:
|
|
tokens2 = tokens[1].split()
|
|
chebyshevCoeffs.extend([float(t.strip()) for t in tokens2])
|
|
|
|
elif 'plog' in line.lower():
|
|
# Pressure-dependent Arrhenius parameters
|
|
if pdepArrhenius is None:
|
|
pdepArrhenius = []
|
|
tokens = tokens[1].split()
|
|
pdepArrhenius.append([float(tokens[0].strip()), Arrhenius(
|
|
A=(float(tokens[1].strip()),kunits),
|
|
n=float(tokens[2].strip()),
|
|
Ea=(float(tokens[3].strip()),energy_units),
|
|
T0=(1,"K"),
|
|
parser=self
|
|
)])
|
|
else:
|
|
# Assume a list of collider efficiencies
|
|
for collider, efficiency in zip(tokens[0::2], tokens[1::2]):
|
|
efficiencies[collider.strip()] = float(efficiency.strip())
|
|
|
|
if revReaction:
|
|
revReaction.duplicate = reaction.duplicate
|
|
|
|
# Decide which kinetics to keep and store them on the reaction object
|
|
# Only one of these should be true at a time!
|
|
if chebyshev is not None:
|
|
if chebyshev.Tmin is None or chebyshev.Tmax is None:
|
|
raise InputParseError('Missing TCHEB line for reaction {0}'.format(reaction))
|
|
if chebyshev.Pmin is None or chebyshev.Pmax is None:
|
|
raise InputParseError('Missing PCHEB line for reaction {0}'.format(reaction))
|
|
index = 0
|
|
for t in range(chebyshev.degreeT):
|
|
for p in range(chebyshev.degreeP):
|
|
chebyshev.coeffs[t,p] = chebyshevCoeffs[index]
|
|
index += 1
|
|
reaction.kinetics = chebyshev
|
|
elif pdepArrhenius is not None:
|
|
reaction.kinetics = PDepArrhenius(
|
|
pressures=([P for P, arrh in pdepArrhenius],"atm"),
|
|
arrhenius=[arrh for P, arrh in pdepArrhenius],
|
|
parser=self
|
|
)
|
|
elif troe is not None:
|
|
troe.arrheniusHigh = arrheniusHigh
|
|
troe.arrheniusLow = arrheniusLow
|
|
troe.efficiencies = efficiencies
|
|
reaction.kinetics = troe
|
|
elif sri is not None:
|
|
sri.arrheniusHigh = arrheniusHigh
|
|
sri.arrheniusLow = arrheniusLow
|
|
sri.efficiencies = efficiencies
|
|
reaction.kinetics = sri
|
|
elif arrheniusLow is not None:
|
|
reaction.kinetics = Lindemann(arrheniusHigh=arrheniusHigh,
|
|
arrheniusLow=arrheniusLow,
|
|
parser=self)
|
|
reaction.kinetics.efficiencies = efficiencies
|
|
elif thirdBody:
|
|
reaction.kinetics = ThirdBody(arrheniusHigh=arrheniusHigh,
|
|
parser=self)
|
|
reaction.kinetics.efficiencies = efficiencies
|
|
else:
|
|
reaction.kinetics = arrheniusHigh
|
|
|
|
return reaction, revReaction
|
|
|
|
def loadChemkinFile(self, path):
|
|
"""
|
|
Load a Chemkin-format input file to `path` on disk.
|
|
"""
|
|
|
|
transportLines = []
|
|
|
|
def removeCommentFromLine(line):
|
|
if '!' in line:
|
|
index = line.index('!')
|
|
comment = line[index+1:-1]
|
|
line = line[0:index] + '\n'
|
|
return line, comment
|
|
else:
|
|
comment = ''
|
|
return line, comment
|
|
|
|
with open(path, 'r') as ck_file:
|
|
self.line_number = 0
|
|
def readline():
|
|
self.line_number += 1
|
|
return ck_file.readline()
|
|
|
|
line = readline()
|
|
while line != '':
|
|
line = removeCommentFromLine(line)[0]
|
|
line = line.strip()
|
|
tokens = line.split()
|
|
|
|
if contains(line, 'ELEMENTS'):
|
|
index = get_index(tokens, 'ELEMENTS')
|
|
tokens = tokens[index+1:]
|
|
while not contains(line, 'END'):
|
|
line = readline()
|
|
line = removeCommentFromLine(line)[0]
|
|
line = line.strip()
|
|
tokens.extend(line.split())
|
|
|
|
for token in tokens:
|
|
if token.upper() == 'END':
|
|
break
|
|
self.elements.append(token.capitalize())
|
|
|
|
elif contains(line, 'SPECIES'):
|
|
# List of species identifiers
|
|
index = get_index(tokens, 'SPECIES')
|
|
tokens = tokens[index+1:]
|
|
while not contains(line, 'END'):
|
|
line = readline()
|
|
line = removeCommentFromLine(line)[0]
|
|
line = line.strip()
|
|
tokens.extend(line.split())
|
|
|
|
for token in tokens:
|
|
if token.upper() == 'END':
|
|
break
|
|
if token in self.speciesDict:
|
|
species = self.speciesDict[token]
|
|
else:
|
|
species = Species(label=token)
|
|
self.speciesDict[token] = species
|
|
self.speciesList.append(species)
|
|
|
|
elif contains(line, 'THERM') and contains(line, 'NASA9'):
|
|
entryPosition = 0
|
|
entryLength = None
|
|
entry = []
|
|
while not get_index(line, 'END') == 0:
|
|
line = readline()
|
|
line = removeCommentFromLine(line)[0]
|
|
if not line:
|
|
continue
|
|
|
|
if entryLength is None:
|
|
entryLength = 0
|
|
# special case if (redundant) temperature ranges are
|
|
# given as the first line
|
|
try:
|
|
s = line.split()
|
|
float(s[0]), float(s[1]), float(s[2])
|
|
continue
|
|
except (IndexError, ValueError):
|
|
pass
|
|
|
|
if entryPosition == 0:
|
|
entry.append(line)
|
|
elif entryPosition == 1:
|
|
entryLength = 2 + 3 * int(line.split()[0])
|
|
entry.append(line)
|
|
elif entryPosition < entryLength:
|
|
entry.append(line)
|
|
|
|
if entryPosition == entryLength-1:
|
|
label, thermo, comp, note = self.readNasa9Entry(entry)
|
|
try:
|
|
self.speciesDict[label].thermo = thermo
|
|
self.speciesDict[label].composition = comp
|
|
self.speciesDict[label].note = note
|
|
except KeyError:
|
|
logging.info('Skipping unexpected species "{0}" while reading thermodynamics entry.'.format(label))
|
|
|
|
entryPosition = -1
|
|
entry = []
|
|
|
|
entryPosition += 1
|
|
|
|
elif contains(line, 'THERM'):
|
|
# List of thermodynamics (hopefully one per species!)
|
|
line = readline()
|
|
TintDefault = float(line.split()[1])
|
|
thermo = ''
|
|
while not contains(line, 'END'):
|
|
line = removeCommentFromLine(line)[0]
|
|
if len(line) >= 80 and line[79] in ['1', '2', '3', '4']:
|
|
thermo += line
|
|
if line[79] == '4':
|
|
label, thermo, comp, note = self.readThermoEntry(thermo, TintDefault)
|
|
try:
|
|
self.speciesDict[label].thermo = thermo
|
|
self.speciesDict[label].composition = comp
|
|
self.speciesDict[label].note = note
|
|
except KeyError:
|
|
logging.info('Skipping unexpected species "{0}" while reading thermodynamics entry.'.format(label))
|
|
thermo = ''
|
|
line = readline()
|
|
|
|
elif contains(line, 'REACTIONS'):
|
|
# Reactions section
|
|
energyUnits = 'CAL/MOL'
|
|
moleculeUnits = 'MOLES'
|
|
try:
|
|
energyUnits = tokens[1].upper()
|
|
moleculeUnits = tokens[2].upper()
|
|
except IndexError:
|
|
pass
|
|
|
|
if not self.processed_units:
|
|
self.processed_units = True
|
|
self.energy_units = ENERGY_UNITS[energyUnits]
|
|
self.quantity_units = QUANTITY_UNITS[moleculeUnits]
|
|
else:
|
|
if (self.energy_units != ENERGY_UNITS[energyUnits] or
|
|
self.quantity_units != QUANTITY_UNITS[moleculeUnits]):
|
|
raise InputParseError("Multiple REACTIONS sections with "
|
|
"different units are not supported.")
|
|
|
|
kineticsList = []
|
|
commentsList = []
|
|
startLines = []
|
|
kinetics = ''
|
|
comments = ''
|
|
|
|
line = readline()
|
|
while line and not contains(line, 'END'):
|
|
|
|
lineStartsWithComment = line.startswith('!')
|
|
line, comment = removeCommentFromLine(line)
|
|
line = line.strip()
|
|
comment = comment.strip()
|
|
|
|
if '=' in line and not lineStartsWithComment:
|
|
# Finish previous record
|
|
kineticsList.append(kinetics)
|
|
commentsList.append(comments)
|
|
startLines.append(self.line_number)
|
|
kinetics = ''
|
|
comments = ''
|
|
|
|
if line:
|
|
kinetics += line + '\n'
|
|
if comment:
|
|
comments += comment + '\n'
|
|
|
|
line = readline()
|
|
|
|
# Don't forget the last reaction!
|
|
if kinetics.strip() != '':
|
|
startLines.append(self.line_number)
|
|
kineticsList.append(kinetics)
|
|
commentsList.append(comments)
|
|
|
|
if kineticsList[0] == '' and commentsList[-1] == '':
|
|
# True for mechanism files generated from RMG-Py
|
|
kineticsList.pop(0)
|
|
startLines.pop(0)
|
|
commentsList.pop(-1)
|
|
elif kineticsList[0] == '' and commentsList[0] == '':
|
|
# True for mechanism files generated from RMG-Java
|
|
kineticsList.pop(0)
|
|
startLines.pop(0)
|
|
commentsList.pop(0)
|
|
else:
|
|
# In reality, comments can occur anywhere in the mechanism
|
|
# file (e.g. either or both of before and after the
|
|
# reaction equation)
|
|
# If we can't tell what semantics we are using, then just
|
|
# throw the comments away
|
|
# (This is better than failing to load the mechanism file at
|
|
# all, which would likely occur otherwise)
|
|
if kineticsList[0] == '':
|
|
kineticsList.pop(0)
|
|
if len(kineticsList) != len(commentsList):
|
|
commentsList = ['' for kinetics in kineticsList]
|
|
|
|
for kinetics, comments, line_number in zip(kineticsList, commentsList, startLines):
|
|
reaction,revReaction = self.readKineticsEntry(kinetics)
|
|
reaction.line_number = line_number
|
|
self.reactions.append(reaction)
|
|
if revReaction is not None:
|
|
revReaction.line_number = line_number
|
|
self.reactions.append(revReaction)
|
|
|
|
elif contains(line, 'TRAN'):
|
|
line = readline()
|
|
while not contains(line, 'END'):
|
|
transportLines.append(line)
|
|
|
|
line = readline()
|
|
|
|
self.checkDuplicateReactions()
|
|
|
|
index = 0
|
|
for reaction in self.reactions:
|
|
index += 1
|
|
reaction.index = index
|
|
|
|
if transportLines:
|
|
self.parseTransportData(transportLines)
|
|
|
|
def checkDuplicateReactions(self):
|
|
"""
|
|
Check for marked (and unmarked!) duplicate reactions. Raise exception
|
|
for unmarked duplicate reactions.
|
|
|
|
Pressure-independent and pressure-dependent reactions are treated as
|
|
different, so they don't need to be marked as duplicate.
|
|
"""
|
|
message = ('Encountered unmarked duplicate reaction {0} '
|
|
'(See lines {1} and {2} of the input file.).')
|
|
|
|
possible_duplicates = defaultdict(list)
|
|
for r in self.reactions:
|
|
k = (tuple(r.reactants), tuple(r.products), r.kinetics.isPressureDependent())
|
|
possible_duplicates[k].append(r)
|
|
|
|
for reactions in possible_duplicates.values():
|
|
for r1,r2 in itertools.combinations(reactions, 2):
|
|
if r1.duplicate and r2.duplicate:
|
|
pass # marked duplicate reaction
|
|
elif r1.thirdBody.upper() == 'M' and r1.kinetics.efficiencies.get(r2.thirdBody) == 0:
|
|
pass # explicit zero efficiency
|
|
elif r2.thirdBody.upper() == 'M' and r2.kinetics.efficiencies.get(r1.thirdBody) == 0:
|
|
pass # explicit zero efficiency
|
|
elif r1.thirdBody != r2.thirdBody:
|
|
pass # distinct third bodies
|
|
else:
|
|
raise InputParseError(message.format(r1, r1.line_number, r2.line_number))
|
|
|
|
def parseTransportData(self, lines):
|
|
"""
|
|
Parse the Chemkin-format transport data in ``lines`` (a list of strings)
|
|
and add that transport data to the previously-loaded species.
|
|
"""
|
|
|
|
for line in lines:
|
|
line = line.strip()
|
|
if not line or line.startswith('!'):
|
|
continue
|
|
if get_index(line, 'END') == 0:
|
|
break
|
|
|
|
if '!' in line:
|
|
line, comment = line.split('!', 1)
|
|
data = line.split() + [comment]
|
|
else:
|
|
data = line.split()
|
|
if len(data) < 7:
|
|
raise InputParseError('Unable to parse transport data: not enough parameters')
|
|
|
|
speciesName = data[0]
|
|
if speciesName in self.speciesDict:
|
|
if self.speciesDict[speciesName].transport is None:
|
|
self.speciesDict[speciesName].transport = TransportData(*data)
|
|
else:
|
|
self.warn('Ignoring duplicate transport data'
|
|
' for species "{0}".'.format(speciesName))
|
|
|
|
def writeCTI(self, header=None, name='gas', transportModel='Mix',
|
|
outName='mech.cti'):
|
|
|
|
delimiterLine = '#' + '-'*79
|
|
haveTransport = True
|
|
speciesNameLength = 1
|
|
elementsFromSpecies = set()
|
|
for s in self.speciesList:
|
|
if not s.transport:
|
|
haveTransport = False
|
|
if s.composition is None:
|
|
raise InputParseError('No thermo data found for species: {0!r}'.format(s.label))
|
|
elementsFromSpecies.update(s.composition)
|
|
speciesNameLength = max(speciesNameLength, len(s.label))
|
|
|
|
# validate list of elements
|
|
missingElements = elementsFromSpecies - set(self.elements)
|
|
if missingElements:
|
|
raise InputParseError('Undefined elements: ' + str(missingElements))
|
|
|
|
speciesNames = ['']
|
|
for i,s in enumerate(self.speciesList):
|
|
if i and not i % 5:
|
|
speciesNames.append(' '*21)
|
|
speciesNames[-1] += '{0:{1}s}'.format(s.label, speciesNameLength+2)
|
|
|
|
speciesNames = '\n'.join(speciesNames).strip()
|
|
|
|
lines = []
|
|
if header:
|
|
lines.extend(header)
|
|
|
|
# Write the gas definition
|
|
lines.append("units(length='cm', time='s', quantity={0!r}, act_energy={1!r})".format(self.quantity_units, self.energy_units))
|
|
lines.append('')
|
|
lines.append('ideal_gas(name={0!r},'.format(name))
|
|
lines.append(' elements="{0}",'.format(' '.join(self.elements)))
|
|
lines.append(' species="""{0}""",'.format(speciesNames))
|
|
if self.reactions:
|
|
lines.append(" reactions='all',")
|
|
if haveTransport:
|
|
lines.append(" transport={0!r},".format(transportModel))
|
|
lines.append(' initial_state=state(temperature=300.0, pressure=OneAtm))')
|
|
lines.append('')
|
|
|
|
# Write the individual species data
|
|
lines.append(delimiterLine)
|
|
lines.append('# Species data')
|
|
lines.append(delimiterLine)
|
|
lines.append('')
|
|
|
|
for s in self.speciesList:
|
|
lines.append(s.to_cti())
|
|
|
|
# Write the reactions
|
|
lines.append(delimiterLine)
|
|
lines.append('# Reaction data')
|
|
lines.append(delimiterLine)
|
|
|
|
for i,r in enumerate(self.reactions):
|
|
lines.append('\n# Reaction {0}'.format(i+1))
|
|
lines.append(r.to_cti())
|
|
|
|
lines.append('')
|
|
|
|
f = open(outName, 'w')
|
|
f.write('\n'.join(lines))
|
|
|
|
def showHelp(self):
|
|
print("""
|
|
ck2cti.py: Convert Chemkin-format mechanisms to Cantera input files (.cti)
|
|
|
|
Usage:
|
|
ck2cti --input=<filename>
|
|
[--thermo=<filename>]
|
|
[--transport=<filename>]
|
|
[--id=<phase-id>]
|
|
[--output=<filename>]
|
|
[--permissive]
|
|
[-d | --debug]
|
|
|
|
Example:
|
|
ck2cti --input=chem.inp --thermo=therm.dat --transport=tran.dat
|
|
|
|
If the output file name is not given, an output file with the same name as the
|
|
input file, with the extension changed to '.cti'.
|
|
|
|
The '--permissive' option allows certain recoverable parsing errors (e.g.
|
|
duplicate transport data) to be ignored.
|
|
|
|
""")
|
|
|
|
def convertMech(self, inputFile, thermoFile=None,
|
|
transportFile=None, phaseName='gas',
|
|
outName=None, quiet=False, permissive=None):
|
|
if quiet:
|
|
logging.basicConfig(level=logging.ERROR)
|
|
|
|
if permissive is not None:
|
|
self.warning_as_error = not permissive
|
|
|
|
# Read input mechanism files
|
|
self.loadChemkinFile(inputFile)
|
|
|
|
if thermoFile:
|
|
self.loadChemkinFile(thermoFile)
|
|
|
|
if transportFile:
|
|
lines = open(transportFile).readlines()
|
|
self.parseTransportData(lines)
|
|
|
|
# Transport validation: make sure all species have transport data
|
|
for s in self.speciesList:
|
|
if s.transport is None:
|
|
raise InputParseError("No transport data for species '{0}'.".format(s))
|
|
|
|
if not outName:
|
|
outName = os.path.splitext(inputFile)[0] + '.cti'
|
|
|
|
# Write output file
|
|
self.writeCTI(name=phaseName, outName=outName)
|
|
if not quiet:
|
|
print('Wrote CTI mechanism file to {0!r}.'.format(outName))
|
|
print('Mechanism contains {0} species and {1} reactions.'.format(len(self.speciesList), len(self.reactions)))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
import getopt
|
|
import sys
|
|
|
|
longOptions = ['input=', 'thermo=', 'transport=', 'id=', 'output=',
|
|
'permissive', 'help', 'debug']
|
|
|
|
try:
|
|
optlist, args = getopt.getopt(sys.argv[1:], 'dh', longOptions)
|
|
options = dict()
|
|
for o,a in optlist:
|
|
options[o] = a
|
|
|
|
if args:
|
|
raise getopt.GetoptError('Unexpected command line option: ' +
|
|
repr(' '.join(args)))
|
|
|
|
except getopt.GetoptError as e:
|
|
print('ck2cti.py: Error parsing arguments:')
|
|
print(e)
|
|
print('Run "ck2cti.py --help" to see usage help.')
|
|
sys.exit(1)
|
|
|
|
parser = Parser()
|
|
|
|
if not options or '-h' in options or '--help' in options:
|
|
parser.showHelp()
|
|
sys.exit(0)
|
|
|
|
if '--input' in options:
|
|
inputFile = options['--input']
|
|
else:
|
|
print('Error: no mechanism input file specified')
|
|
sys.exit(1)
|
|
|
|
if '--output' in options:
|
|
outName = options['--output']
|
|
if not outName.endswith('.cti'):
|
|
outName += '.cti'
|
|
else:
|
|
outName = None
|
|
|
|
permissive = '--permissive' in options
|
|
thermoFile = options.get('--thermo')
|
|
transportFile = options.get('--transport')
|
|
phaseName = options.get('--id', 'gas')
|
|
|
|
parser.convertMech(inputFile, thermoFile, transportFile, phaseName,
|
|
outName, permissive=permissive)
|