Source code for burnman.eos.morse_potential

from __future__ import absolute_import
# This file is part of BurnMan - a thermoelastic and thermodynamic toolkit for the Earth and Planetary Sciences
# Copyright (C) 2012 - 2015 by the BurnMan team, released under the GNU
# GPL v2 or later.


import scipy.optimize as opt
from . import equation_of_state as eos
from ..tools import bracket
import warnings
import numpy as np

def bulk_modulus(volume, params):
    """
    Compute the bulk modulus as per the Morse potential
    equation of state.
    Returns bulk modulus in the same units as
    the reference bulk modulus.
    Pressure must be in :math:`[Pa]`.
    """

    VoverV0 = volume / params['V_0']
    x = (params['Kprime_0']  - 1.)*(1. - np.power(VoverV0, 1./3.))
    K = params['K_0']*( ( 2./(params['Kprime_0']  - 1.) *
                          np.power(VoverV0, -2./3.) *
                          (np.exp(2.*x) - np.exp(x)) ) +
                        ( np.power(VoverV0, -1./3.) *
                          (2.*np.exp(2.*x) - np.exp(x)) ) )
    return K

def shear_modulus(volume, params):
    """
    Shear modulus not currently implemented for this equation of state
    """
    return 0.

def morse_potential(VoverV0, params):
    """
    Equation for the Morse Potential equation of state,
    returns pressure in the same units that are supplied
    for the reference bulk modulus (params['K_0'])
    """
    x = (params['Kprime_0']  - 1.)*(1. - np.power(VoverV0, 1./3.))
    return ( 3. * params['K_0'] / (params['Kprime_0']  - 1.) *
             np.power(VoverV0, -2./3.) *
             (np.exp(2.*x) - np.exp(x)) ) + params['P_0']

def volume(pressure, params):
    """
    Get the Morse Potential volume at a
    reference temperature for a given pressure :math:`[Pa]`.
    Returns molar volume in :math:`[m^3]`
    """
    func = lambda V: morse_potential(V / params['V_0'], params) - pressure
    try:
        sol = bracket(func, params['V_0'], 1.e-2 * params['V_0'])
    except:
        raise ValueError(
            'Cannot find a volume, perhaps you are outside of the range of validity for the equation of state?')
    return opt.brentq(func, sol[0], sol[1])



[docs]class Morse(eos.EquationOfState): """ Class for the isothermal Morse Potential equation of state detailed in :cite:`Stacey1981`. This equation of state has no temperature dependence. """
[docs] def volume(self, pressure, temperature, params): """ Returns volume :math:`[m^3]` as a function of pressure :math:`[Pa]`. """ return volume(pressure, params)
[docs] def pressure(self, temperature, volume, params): return morse_potential(volume / params['V_0'], params)
[docs] def isothermal_bulk_modulus(self, pressure, temperature, volume, params): """ Returns isothermal bulk modulus :math:`K_T` :math:`[Pa]` as a function of pressure :math:`[Pa]`, temperature :math:`[K]` and volume :math:`[m^3]`. """ return bulk_modulus(volume, params)
[docs] def adiabatic_bulk_modulus(self, pressure, temperature, volume, params): """ Returns adiabatic bulk modulus :math:`K_s` of the mineral. :math:`[Pa]`. """ return bulk_modulus(volume, params)
[docs] def shear_modulus(self, pressure, temperature, volume, params): """ Returns shear modulus :math:`G` of the mineral. :math:`[Pa]` """ return shear_modulus(volume, params)
[docs] def entropy(self, pressure, temperature, volume, params): """ Returns the molar entropy :math:`\mathcal{S}` of the mineral. :math:`[J/K/mol]` """ return 0.
[docs] def molar_internal_energy(self, pressure, temperature, volume, params): """ Returns the internal energy :math:`\mathcal{E}` of the mineral. :math:`[J/mol]` """ x = (params['Kprime_0'] - 1)*(1 - np.power(volume/params['V_0'], 1./3.)) intPdV = ( 9./2. * params['V_0'] * params['K_0'] / np.power(params['Kprime_0'] - 1., 2.) * (2.*np.exp(x) - np.exp(2.*x) - 1.) ) return -intPdV + params['E_0']
[docs] def gibbs_free_energy(self, pressure, temperature, volume, params): """ Returns the Gibbs free energy :math:`\mathcal{G}` of the mineral. :math:`[J/mol]` """ return self.molar_internal_energy(pressure, temperature, volume, params) + volume*pressure
[docs] def molar_heat_capacity_v(self, pressure, temperature, volume, params): """ Since this equation of state does not contain temperature effects, simply return a very large number. :math:`[J/K/mol]` """ return 1.e99
[docs] def molar_heat_capacity_p(self, pressure, temperature, volume, params): """ Since this equation of state does not contain temperature effects, simply return a very large number. :math:`[J/K/mol]` """ return 1.e99
[docs] def thermal_expansivity(self, pressure, temperature, volume, params): """ Since this equation of state does not contain temperature effects, simply return zero. :math:`[1/K]` """ return 0.
[docs] def grueneisen_parameter(self, pressure, temperature, volume, params): """ Since this equation of state does not contain temperature effects, simply return zero. :math:`[unitless]` """ return 0.
[docs] def validate_parameters(self, params): """ Check for existence and validity of the parameters """ if 'E_0' not in params: params['E_0'] = 0. if 'P_0' not in params: params['P_0'] = 0. # If G and Gprime are not included this is presumably deliberate, # as we can model density and bulk modulus just fine without them, # so just add them to the dictionary as nans if 'G_0' not in params: params['G_0'] = float('nan') if 'Gprime_0' not in params: params['Gprime_0'] = float('nan') # Check that all the required keys are in the dictionary expected_keys = ['V_0', 'K_0', 'Kprime_0', 'G_0', 'Gprime_0'] for k in expected_keys: if k not in params: raise KeyError('params object missing parameter : ' + k) # Finally, check that the values are reasonable. if params['P_0'] < 0.: warnings.warn('Unusual value for P_0', stacklevel=2) if params['V_0'] < 1.e-7 or params['V_0'] > 1.e-3: warnings.warn('Unusual value for V_0', stacklevel=2) if params['K_0'] < 1.e9 or params['K_0'] > 1.e13: warnings.warn('Unusual value for K_0', stacklevel=2) if params['Kprime_0'] < 0. or params['Kprime_0'] > 10.: warnings.warn('Unusual value for Kprime_0', stacklevel=2) if params['G_0'] < 0.0 or params['G_0'] > 1.e13: warnings.warn('Unusual value for G_0', stacklevel=2) if params['Gprime_0'] < -5. or params['Gprime_0'] > 10.: warnings.warn('Unusual value for Gprime_0', stacklevel=2)