SolidsOpt 0.1

This package is made to perfome topology optimization of 2D solids

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