use crate::solver::{Particle, ParticlePhase};
use bytemuck::{Pod, Zeroable};
pub use drucker_prager::{DruckerPrager, DruckerPragerPlasticState};
use slang_hal::backend::Backend;
use stensor::tensor::GpuTensor;
use wgpu::BufferUsages;
mod drucker_prager;
pub struct GpuModels<B: Backend> {
pub linear_elasticity: GpuTensor<ElasticCoefficients, B>,
pub drucker_prager_plasticity: GpuTensor<DruckerPrager, B>,
pub drucker_prager_plastic_state: GpuTensor<DruckerPragerPlasticState, B>,
pub phases: GpuTensor<ParticlePhase, B>,
}
impl<B: Backend> GpuModels<B> {
pub fn from_particles(backend: &B, particles: &[Particle]) -> Result<Self, B::Error> {
let models: Vec<_> = particles.iter().map(|p| p.model).collect();
let plasticity: Vec<_> = particles
.iter()
.map(|p| p.plasticity.unwrap_or(DruckerPrager::new(-1.0, -1.0)))
.collect();
let plastic_states: Vec<_> = particles
.iter()
.map(|_| DruckerPragerPlasticState::default())
.collect();
let phases: Vec<_> = particles
.iter()
.map(|p| {
p.phase.unwrap_or(ParticlePhase {
phase: 0.0,
max_stretch: -1.0,
})
})
.collect();
Ok(Self {
linear_elasticity: GpuTensor::vector(backend, &models, BufferUsages::STORAGE)?,
drucker_prager_plasticity: GpuTensor::vector(
backend,
&plasticity,
BufferUsages::STORAGE,
)?,
drucker_prager_plastic_state: GpuTensor::vector(
backend,
&plastic_states,
BufferUsages::STORAGE,
)?,
phases: GpuTensor::vector(backend, &phases, BufferUsages::STORAGE)?,
})
}
}
fn lame_lambda_mu(young_modulus: f32, poisson_ratio: f32) -> (f32, f32) {
(
young_modulus * poisson_ratio / ((1.0 + poisson_ratio) * (1.0 - 2.0 * poisson_ratio)),
shear_modulus(young_modulus, poisson_ratio),
)
}
fn shear_modulus(young_modulus: f32, poisson_ratio: f32) -> f32 {
young_modulus / (2.0 * (1.0 + poisson_ratio))
}
#[derive(Copy, Clone, PartialEq, Debug, Pod, Zeroable)]
#[repr(C)]
pub struct ElasticCoefficients {
pub lambda: f32,
pub mu: f32,
}
impl ElasticCoefficients {
pub fn from_young_modulus(young_modulus: f32, poisson_ratio: f32) -> Self {
let (lambda, mu) = lame_lambda_mu(young_modulus, poisson_ratio);
Self { lambda, mu }
}
}