The code is written in Python and it depends on Numpy, scipy, TensorFlow and SolidsPy.
Installation
pip install solidsopt
Load weights for neural networks
load model
Repositories
Two repositories were created from this project, one contains the structural optimization algorithms and the other has everything related to the development of deep learning methods.
- {{< icon "github" >}} kssgarcia/DeepLearningOpt
- {{< icon "github" >}} kssgarcia/OptTopolgy
Topology optimization repo
- BESO method BESO.py
- ESO stress based method ESO_stress_based.py
- ESO stiff based method ESO_stiff_based.py
- SIMP method SIMP.py``
Instructions
1. Clone repository
git clone https://github.com/kssgarcia/OptTopolgy.git
2. Download the required packages running the following command
conda env create -f environment.yml
3. Install solidspy
pip install solidspy
Optimization with deep learning repo
- SIMP_multi.py code used for generate training dataset.
- CNN.py code used for training neural network.
- load_model.py code used for load neural network.
- SIMP_multi_dist.py code used for generate dataset with a distributed load.
Instructions
1. Clone repository
git clone https://github.com/kssgarcia/DeepLearningOpt.git
2. Download the required packages running the following command
conda env create -f environment.yml
3. Install solidspy
pip install solidspy
Metadata
Release files for SolidsOpt 0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| SolidsOpt-0.1.tar.gz | 12.2 kB | Without provenance | Details for SolidsOpt-0.1.tar.gz |
Release files / SolidsOpt-0.1.tar.gz
| Download URL | SolidsOpt-0.1.tar.gz |
|---|---|
| Size | 12.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
58f5b9e998f4ce8b65b5862dc42604322fe0261b8c3e3004245fef752ee3731c
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No |
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twine/4.0.2 CPython/3.11.6
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Security for SolidsOpt 0.1
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