DOI QR코드

DOI QR Code

Seismic performance of the immersed tunnel under offshore and onshore ground motions

  • Bowei Wang (School of Infrastructure Engineering, Nanchang University) ;
  • Guquan Song (School of Infrastructure Engineering, Nanchang University) ;
  • Rui Zhang (School of Civil Engineering, Dalian Jiaotong University) ;
  • Baokui Chen (School of Infrastructure Engineering, Nanchang University)
  • 투고 : 2023.03.08
  • 심사 : 2024.04.30
  • 발행 : 2024.07.25

초록

There are obvious differences between the characteristics of offshore ground motion and onshore ground motion in current studies, and factors such as water layer and site conditions have great influence on the characteristics of offshore ground motion. In addition, unlike seismic response analysis of offshore superstructures such as sea-crossing bridges, tunnels are affected by offshore soil constraints, so it is necessary to consider the dynamic interaction between structure and offshore soil layer. Therefore, a seismic response analysis model considering the seawater, soil layer and tunnel structure coupling is established. Firstly, the measured offshore and different soil layers onshore ground records are input respectively, and the difference of seismic response under different types of ground motions is analyzed. Then, the models of different site conditions were input into the measured onshore bedrock strong ground motion records to study the influence of seawater layer and silt soft soil layer on the seabed and tunnel structure. The results show that the overall seismic response between the seabed and the tunnel structure is more significant when the offshore ground motion is input. The seawater layer can suppression the vertical seismic response of seabed and tunnel structure, while the slit soft soil layer can amplify the horizontal seismic response. The results will help to promote seismic wave selection of marine structures and provide reference for improving the accuracy of seismic design of immersed tunnels.

키워드

과제정보

This work is supported by the National Natural Science Foundation of China (grant number 52268076, 51868048, 52278340); the Jiangxi Natural Science Foundation (grant numbers 20232BAB204086). We are grateful to the K-net for providing valuable research data and the related earthquake information.

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