Interpretable machine learning models for predicting probabilistic axial buckling strength of steel circular hollow section members considering discreteness of geometries and material
| Author(s): |
Zhengyang Hou
(State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China)
Shuling Hu 
(Department of Architecture and Architectural Engineering, Kyoto University, Kyoto, Japan)
Wei Wang (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Advances in Structural Engineering |
| DOI: | 10.1177/13694332241289175 |
- About this
data sheet - Reference-ID
10802109 - Published on:
10/11/2024 - Last updated on:
10/11/2024
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