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Steel and Composite Structures Volume 47, Number 1, April10 2023 , pages 103-117 DOI: https://doi.org/10.12989/scs.2023.47.1.103 |
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Shear resistance of corrugated web steel beams with circular web openings: Test and machine learning-based prediction |
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Yan-Wen Li, Guo-Qiang Li, Lei Xiao, Michael C.H. Yam and Jing-Zhou Zhang
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| Abstract | ||
| 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. | ||
| Key Words | ||
| circular web opening; corrugated web steel beam; experimental study; machine learning; inelastic shear buckling; shear strength | ||
| Address | ||
| Yan-Wen Li:1)State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China 2)Department of Architecture and Architectural Engineering, Kyoto University, Kyoto, Japan Guo-Qiang Li:State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China Lei Xiao:1)State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China 2)Department of Building & Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China Michael C.H. Yam:Department of Building & Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China Jing-Zhou Zhang:1)State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China 2)Department of Building & Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China | ||