https://github.com/tlcfem/nonviscous-implementation
10.1016/j.ymssp.2024.111156
https://github.com/tlcfem/nonviscous-implementation
Last synced: 3 months ago
JSON representation
10.1016/j.ymssp.2024.111156
- Host: GitHub
- URL: https://github.com/tlcfem/nonviscous-implementation
- Owner: TLCFEM
- License: gpl-3.0
- Created: 2023-03-18T23:52:24.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2025-01-13T22:28:54.000Z (over 1 year ago)
- Last Synced: 2025-01-19T05:40:46.911Z (over 1 year ago)
- Language: TeX
- Homepage: https://doi.org/10.1016/j.ymssp.2024.111156
- Size: 11 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# A Strategy for Fast Evaluation of Nonviscously Damped Systems With Arbitrary Kernels
This repository contains the source code and example models of paper [10.1016/j.ymssp.2024.111156](https://doi.org/10.1016/j.ymssp.2024.111156).
To cite or reproduce figures in the paper, you can find the corresponding figure and copy the source code in your work. Please check CI/CD workflow to see how to generate figures used in the paper.
The numerical examples used in the paper are developed in `suanPan`. To perform the numerical analysis, one can download and install [`suanPan`](https://github.com/TLCFEM/suanPan). Then run the model via, for example, the following command in the corresponding
folders under the corresponding folders in `PY`.
```sh
suanpan -f sigmoid.supan
```
The nonviscous damping model is implemented in `suanPan` as:
1. a global damping model with the Newmark method: [NonviscousNewmark](https://tlcfem.github.io/suanPan-manual/latest/Library/Integrator/Newmark/NonviscousNewmark/)
2. a material model that can be used in spring elements: [Nonviscous01](https://tlcfem.github.io/suanPan-manual/latest/Library/Material/Material1D/Viscosity/Nonviscous01/)
3. a modifier that can be applied to arbitrary elements: [ElementalNonviscous](https://tlcfem.github.io/suanPan-manual/latest/Library/Element/Modifier/ElementalNonviscous/)
The VPMR algorithm is implemented in [this](https://github.com/TLCFEM/vpmr) repository.