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mod.rs
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128 lines (114 loc) · 3.76 KB
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use crate::EosResult;
use ndarray::Array1;
use quantity::si::{SIArray1, SINumber};
use std::sync::Arc;
mod helmholtz_energy;
mod ideal_gas;
mod residual;
pub use helmholtz_energy::{HelmholtzEnergy, HelmholtzEnergyDual};
pub use ideal_gas::{DeBroglieWavelength, DeBroglieWavelengthDual, IdealGas};
pub use residual::{EntropyScaling, Residual};
/// Molar weight of all components.
///
/// The trait is required to be able to calculate (mass)
/// specific properties.
pub trait MolarWeight {
fn molar_weight(&self) -> SIArray1;
}
/// The number of components that the model is initialized for.
pub trait Components {
/// Return the number of components of the model.
fn components(&self) -> usize;
/// Return a model consisting of the components
/// contained in component_list.
fn subset(&self, component_list: &[usize]) -> Self;
}
/// An equation of state consisting of an ideal gas model
/// and a residual Helmholtz energy model.
#[derive(Clone)]
pub struct EquationOfState<I, R> {
pub ideal_gas: Arc<I>,
pub residual: Arc<R>,
}
impl<I, R> EquationOfState<I, R> {
/// Return a new [EquationOfState] with the given ideal gas
/// and residual models.
pub fn new(ideal_gas: Arc<I>, residual: Arc<R>) -> Self {
Self {
ideal_gas,
residual,
}
}
}
impl<I: Components, R: Components> Components for EquationOfState<I, R> {
fn components(&self) -> usize {
assert_eq!(
self.residual.components(),
self.ideal_gas.components(),
"residual and ideal gas model differ in the number of components"
);
self.residual.components()
}
fn subset(&self, component_list: &[usize]) -> Self {
Self::new(
Arc::new(self.ideal_gas.subset(component_list)),
Arc::new(self.residual.subset(component_list)),
)
}
}
impl<I: IdealGas, R: Components + Sync + Send> IdealGas for EquationOfState<I, R> {
fn ideal_gas_model(&self) -> &dyn DeBroglieWavelength {
self.ideal_gas.ideal_gas_model()
}
}
impl<I: IdealGas, R: Residual> Residual for EquationOfState<I, R> {
fn compute_max_density(&self, moles: &Array1<f64>) -> f64 {
self.residual.compute_max_density(moles)
}
fn contributions(&self) -> &[Box<dyn HelmholtzEnergy>] {
self.residual.contributions()
}
}
impl<I, R: MolarWeight> MolarWeight for EquationOfState<I, R> {
fn molar_weight(&self) -> SIArray1 {
self.residual.molar_weight()
}
}
impl<I: IdealGas, R: Residual + EntropyScaling> EntropyScaling for EquationOfState<I, R> {
fn viscosity_reference(
&self,
temperature: SINumber,
volume: SINumber,
moles: &SIArray1,
) -> EosResult<SINumber> {
self.residual
.viscosity_reference(temperature, volume, moles)
}
fn viscosity_correlation(&self, s_res: f64, x: &Array1<f64>) -> EosResult<f64> {
self.residual.viscosity_correlation(s_res, x)
}
fn diffusion_reference(
&self,
temperature: SINumber,
volume: SINumber,
moles: &SIArray1,
) -> EosResult<SINumber> {
self.residual
.diffusion_reference(temperature, volume, moles)
}
fn diffusion_correlation(&self, s_res: f64, x: &Array1<f64>) -> EosResult<f64> {
self.residual.diffusion_correlation(s_res, x)
}
fn thermal_conductivity_reference(
&self,
temperature: SINumber,
volume: SINumber,
moles: &SIArray1,
) -> EosResult<SINumber> {
self.residual
.thermal_conductivity_reference(temperature, volume, moles)
}
fn thermal_conductivity_correlation(&self, s_res: f64, x: &Array1<f64>) -> EosResult<f64> {
self.residual.thermal_conductivity_correlation(s_res, x)
}
}