Steel and Composite Structures

  • 제47권1호
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  • Pages.103-117
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  • 2023
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Shear resistance of corrugated web steel beams with circular web openings: Test and machine learning-based prediction

  • Yan-Wen Li (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University) ;
  • Guo-Qiang Li (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University) ;
  • Lei Xiao (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University) ;
  • Michael C.H. Yam (Department of Building & Real Estate, The Hong Kong Polytechnic University) ;
  • Jing-Zhou Zhang (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University)
  • 투고 : 2022.02.07
  • 심사 : 2023.03.11
  • 발행 : 2023.04.10
⟨ 이전 논문 다음 논문 ⟩

초록

This paper presents an investigation on the shear resistance of corrugated web steel beams (CWBs) with a circular web opening. A total of five specimens with different diameters of web openings were designed and tested with vertical load applied on the top flange at mid-span. The ultimate strengths, failure modes, and load versus middle displacement curves were obtained from the tests. Following the tests, numerical models of the CWBs were developed and validated against the test results. The influence of the web plate thickness, steel grade, opening diameter, and location on the shear strength of the CWBs was extensively investigated. An XGBoost machine learning model for shear resistance prediction was trained based on 256 CWB samples. The XGBoost model with optimal hyperparameters showed excellent accuracy and exceeded the accuracy of the available design equations. The effects of geometric parameters and material properties on the shear resistance were evaluated using the SHAP method.

키워드

과제정보

This study is financially support by the National Key Research and Development Program of China (Project No. 2017YFC0703607), the Japan Society for the Promotion of Science, KAKENHI Grant (No. JP20F20344) and the Chinese National Engineering Research Centre (CNERC) for Steel Construction (Hong Kong Branch) at The Hong Kong Polytechnic University (Project No. 1-BBV4). The assistance of Mr Jie-Yao Qiu and Mr Ping Zhang in the experimental and numerical work is greatly acknowledged.

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