Steel and Composite Structures

  • 제48권3호
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  • Pages.321-333
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  • 2023
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Lateral stiffness of corner-supported steel modular frame with splice connection

  • Yi-Fan Lyu (Department of Civil and Environmental Engineering, National University of Singapore) ;
  • Guo-Qiang Li (College of Civil Engineering, Tongji University) ;
  • Ke Cao (School of management science and real estate, Chongqing University) ;
  • Si-Yuan Zhai (College of Civil Engineering, Chongqing University) ;
  • De-Yang Kong (Department of Civil and Environmental Engineering, National University of Singapore) ;
  • Xuan-Yi Xue (College of Civil Engineering, Chongqing University) ;
  • Heng Li (Department of Building and Real Estate, The Hong Kong Polytechnic University)
  • 투고 : 2022.12.04
  • 심사 : 2023.07.27
  • 발행 : 2023.08.10
⟨ 이전 논문 다음 논문 ⟩

초록

This paper proposes a comprehensive investigation on lateral stiffness of corner-supported steel modular frame using splice connection. A full-scale modular frame with two stacked steel modules under lateral load is tested. Ductile pattern in the transfer of lateral load is found in the final failure mode. Two types of lateral stiffness, including tangent stiffness and secant stiffness, are defined from the load-displacement due to the observed nonlinearity. The difference between these two types of stiffness is found around 20%. The comparisons between the experimental lateral stiffness and the predictions of classical methods are also conducted. The D-value method using hypothesis of independent case is a conservative option for predicting lateral stiffness, which is more recommended than method of contraflexural bending moment. Analyses on two classical short-rod models, including fix-rod model and pin-rod model, are further conducted. Results indicate that fix-rod model is more recommended than pin-rod model to simplify splice connection for simulation on lateral stiffness of modular frame in elastic design stage.

키워드

과제정보

This research is supported by the Fundamental Research Funds for the Central Universities with project number 2022CDJSKJC17 and 2020CDJSK03PT08, the National Science Foundation for Young Scientists of China with project number 51808068 and the National Key Research and Development Program of China with project number 2017YFC0703803.

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