Research Experiences for Undergraduates (REU), NHERI 2022: Deep Learning-based Friction Modeling of Dry Interfaces for Structural Dampers
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下载链接：
https://www.designsafe-ci.org/data/browser/public/designsafe.storage.published/PRJ-3609
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资源简介：
This project develops a physics-informed friction model to describe a rotary friction damper. A LuGre friction model is augmented using online parameter updating to capture semi-active and backlash effects. The methodology given here can be applied in general to friction systems. This project is unique in applying physics-informed machine learning to friction modeling and in producing time-varying parameter predictions. The audience is the natural hazards engineering community and those interested in friction modeling.
提供机构：
Designsafe-CI
创建时间：
2022-08-12
