Structural Engineering and Mechanics

  • 제73권6호
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  • Pages.641-649
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  • 2020
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Study on midtower longitudinal stiffness of three-tower four-span suspension bridges with steel truss girders

  • Cheng, Jin (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University) ;
  • Xu, Hang (Department of Bridge Engineering, Tongji University) ;
  • Xu, Mingsai (Department of Bridge Engineering, Tongji University)
  • 투고 : 2019.01.09
  • 심사 : 2019.11.12
  • 발행 : 2020.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

The determination of midtower longitudinal stiffness has become an essential component in the preliminary design of multi-tower suspension bridges. For a specific multi-tower suspension bridge, the midtower longitudinal stiffness must be controlled within a certain range to meet the requirements of sliding resistance coefficient and deflection-to-span ratio. This study presents a numerical method to divide different types of midtower and determine rational range of longitudinal stiffness for rigid midtower. In this method, influence curves of midtower longitudinal stiffness on sliding resistance coefficient and maximum vertical deflection-to-span ratio are first obtained from the finite element analysis. Then, different types of midtower are divided based on the regression analysis of influence curves. Finally, rational range for longitudinal stiffness of rigid midtower is derived. The Oujiang River North Estuary Bridge which is a three-tower four-span suspension bridge with two main spans of 800m under construction in China is selected as the subject of this study. This will be the first three-tower four-span suspension bridge with steel truss girders and concrete midtower in the world. The proposed method provides an effective and feasible tool for engineers to design midtower of multi-tower suspension bridges.

키워드

과제정보

연구 과제 주관 기관 : Ministry of Science and Technology of China, Central Universities

This work presented herein has been supported by the National Key Research and Development Program of China under grant numbers 2018YFC0809600 and 2018YFC0809601, the Ministry of Science and Technology of China under grant number SLDRCE19-B-09 and the Fundamental Research Funds for the Central Universities under grant number 22120180316. The supports are gratefully acknowledged.

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