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Merge branch 'geoelements:main' into VTK_Writer
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SachinJalan authored Aug 11, 2023
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13 changes: 13 additions & 0 deletions CITATION.cff
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Mehta
given-names: Chahak
- family-names: Kumar
given-names: Krishna
orcid: https://orcid.org/0000-0003-2144-5562
title: "Differentiable Material Point Method Simulator (DiffMPM): v0.1"
version: v0.1
doi:
date-released: 2023-07-24
url: "https://github.com/geoelements/diffmpm"
35 changes: 34 additions & 1 deletion README.md
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# DiffMPM
# Differentiable Material Point Method (DiffMPM)

MPM simulations are applied in various fields such as computer graphics, geotechnical engineering, computational mechanics and more. `diffmpm` is a differentiable MPM simulation library written entirely in JAX which means it also has all the niceties that come with JAX. It is a highly parallel, Just-In-Time compiled code that can run on CPUs, GPUs or TPUs. It aims to be a fast solver that can be used in various problems like optimization and inverse problems. Having a differentiable MPM simulation opens up several advantages -
- **Efficient Gradient-based Optimization:** Since the entire simulation model is differentiable, it can be used in conjunction with various gradient-based optimization techniques such as stochastic gradient descent (SGD), ADAM etc.
- **Inverse Problems:** It also enables us to solve inverse problems to determine material properties by formulating an inverse problem as an optimization task.
- **Integration with Deep Learning:** It can be seamlessly integrated with other Neural Network models to enable training physics-informed neural networks.

## Installation
`diffmpm` can be installed directly from PyPI using `pip`

``` shell
pip install diffmpm
```

#### ToDo
Add separate installation commands for CPU/GPU.

## Usage
Once installed, `diffmpm` can be used as a CLI tool or can be imported as a library in Python. Example input files can be found in the `benchmarks/` directory.

```
Usage: mpm [OPTIONS]
CLI utility for DiffMPM.
Options:
-f, --file TEXT Input TOML file [required]
--version Show the version and exit.
--help Show this message and exit.
```

Further documentation about the input file can be found in the documentation _[INSERT LINK HERE]_. `diffmpm` can write the output to various file types like `.npz`, `.vtk` etc. that can then be used to visualize the output of the simulations.

## Examples
2 changes: 2 additions & 0 deletions benchmarks/2d/uniaxial_nodal_forces/test_benchmark.py
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import sys
sys.path.append(os.getcwd())
from pathlib import Path

import jax.numpy as jnp

from diffmpm import MPM


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2 changes: 2 additions & 0 deletions benchmarks/2d/uniaxial_particle_traction/test_benchmark.py
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import sys
sys.path.append(os.getcwd())
from pathlib import Path

import jax.numpy as jnp

from diffmpm import MPM


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2 changes: 2 additions & 0 deletions benchmarks/2d/uniaxial_stress/test_benchmark.py
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import sys
sys.path.append(os.getcwd())
from pathlib import Path

import jax.numpy as jnp

from diffmpm import MPM


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2 changes: 1 addition & 1 deletion diffmpm/__init__.py
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Expand Up @@ -40,7 +40,7 @@ def __init__(self, filepath):
raise ValueError("Wrong type of solver specified.")

def solve(self):
"""Solve the MPM simulation."""
"""Solve the MPM simulation using JIT solver."""
arrays = self.solver.solve_jit(
self._config.parsed_config["external_loading"]["gravity"],
)
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3 changes: 2 additions & 1 deletion diffmpm/cli/mpm.py
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from diffmpm import MPM


@click.command()
@click.command() # type: ignore
@click.option(
"-f", "--file", "filepath", required=True, type=str, help="Input TOML file"
)
@click.version_option(package_name="diffmpm")
def mpm(filepath):
"""CLI utility for DiffMPM."""
solver = MPM(filepath)
solver.solve()
22 changes: 16 additions & 6 deletions diffmpm/constraint.py
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@register_pytree_node_class
class Constraint:
def __init__(self, dir, velocity):
"""Generic velocity constraints to apply on nodes or particles."""

def __init__(self, dir: int, velocity: float):
"""Contains 2 govering parameters.
Attributes
----------
dir : int
Direction in which constraint is applied.
velocity : float
Constrained velocity to be applied.
"""
self.dir = dir
self.velocity = velocity

Expand All @@ -16,16 +27,15 @@ def tree_unflatten(cls, aux_data, children):
return cls(*aux_data)

def apply(self, obj, ids):
"""
Apply constraint values to the passed object.
"""Apply constraint values to the passed object.
Arguments
---------
Parameters
----------
obj : diffmpm.node.Nodes, diffmpm.particle.Particles
Object on which the constraint is applied
ids : array_like
The indices of the container `obj` on which the constraint
will be applied.
will be applied.
"""
obj.velocity = obj.velocity.at[ids, :, self.dir].set(self.velocity)
obj.momentum = obj.momentum.at[ids, :, self.dir].set(
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