An OpenSees Surrogate Constitutive Model for High-Damping Rubber Based on Machine Learning
Feng Li, Tianbo Peng · 2024
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Description
Feng Li and Tianbo Peng turn a machine learning model of earthquake rubber into a tool engineers can run, in this 2024 paper. High-damping rubber pads shield buildings and bridges from quakes, but the material's complex behavior is hard to model. Their earlier learning model captured it well yet sat outside standard software.
The team simplified the model and rebuilt it as a material inside OpenSees, a common earthquake simulation program. They named the new material HDRGA and wrote its code from scratch. Tests on a simple link model and a bridge pier model matched lab and calculation results. Engineers can now use the learned model in routine design.
Catalog record
| CREATOR | Feng Li, Tianbo Peng |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |