Geomechanics and Engineering

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Dynamic response characteristics of crossing tunnels under heavy-haul train loads

  • Dong, Jie (College of Civil Engineering, Hebei University of Architecture) ;
  • Zhong, Shuai (College of Civil Engineering, Hebei University of Architecture) ;
  • Wang, Hai-long (College of Civil Engineering, Hebei University of Architecture) ;
  • Wu, Zhi-hui (School of Civil Engineering, Chongqing University)
  • Received : 2019.08.29
  • Accepted : 2020.01.02
  • Published : 2020.01.25
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Abstract

The dynamic response of crossing tunnels under heavy-haul train loads is still not fully understood. In this study, based on the case of a high-speed tunnel underneath an existing heavy-haul railway tunnel, a model experiment was performed to research the dynamic response characteristics of crossing tunnels. It is found that the under-crossing changes the dynamic response of the existing tunnel and surrounding rock. The acceleration response of the existing tunnel enhances, and the dynamic stress of rock mass between crossing tunnels decreases after the excavation. Both tunneling and the excitation of heavy-haul train loads stretch the tunnel base, and the maximum tensile strain is 18.35 µε in this model test. Then, the measured results were validated by numerical simulation. Also, a parametric study was performed to discuss the influence of the relative position between crossing tunnels and the advanced support on the dynamic behavior of the existing tunnel, where an amplifying coefficient of tunnel vibration was introduced to describe the change in acceleration due to tunneling. These results reveal the dynamic amplifying phenomenon of the existing tunnel during the new tunnel construction, which can be referred in the dynamic design of crossing tunnels.

Keywords

Acknowledgement

Supported by : Natural Science Foundation of China, Natural Science Foundation of Hebei Province of China, Hebei Province of China

The research described in this paper was financially supported by the Natural Science Foundation of China (NO. 51878242), the Natural Science Foundation of Hebei Province of China (NO. E2017404013) and the Fund for fostering talents of Hebei Province of China (NO. A201901067).

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