https://github.com/bhttchr6/to_shapememorypolymer

PETSc(MPI) and HPC based Finite Element Analysis and Topology Optimization for compliant gripper design with thermally-activated Shape Memory Polymers (SMP)
https://github.com/bhttchr6/to_shapememorypolymer

design-optimization high-performance-computing parallel-computing petsc

Last synced: 8 months ago
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PETSc(MPI) and HPC based Finite Element Analysis and Topology Optimization for compliant gripper design with thermally-activated Shape Memory Polymers (SMP)

• Host: GitHub
• URL: https://github.com/bhttchr6/to_shapememorypolymer
• Owner: bhttchr6
• Created: 2024-08-13T22:27:22.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-24T23:55:58.000Z (almost 2 years ago)
• Last Synced: 2025-10-13T06:19:55.475Z (8 months ago)
• Topics: design-optimization, high-performance-computing, parallel-computing, petsc
• Language: C++
• Homepage:
• Size: 657 KB
• Stars: 0
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
Finite Element Analysis and Topology Optimization for compliant gripper design with thermally-activated Shape Memory Polymers (SMP). It has following features:

  1. Implemented thermo-visco-inelastic constitutive model for SMP.

  2. SMP is bi-phasic with each phase modelled viscoelastically

  3. Transient adjoint sensitivity analysis

  4. High Performance Computing (PETSc, Eigen, C++, MPI)

**Design Domain:**

![](https://github.com/bhttchr6/TO_ShapeMemoryPolymer/blob/main/Figs/SAG_des.jpg)

**Scaling Studies:**

![](https://github.com/bhttchr6/TO_ShapeMemoryPolymer/blob/main/Figs/scaling.png)