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Earthquakes and Structures Volume 15, Number 2, August 2018 , pages 193-202 DOI: https://doi.org/10.12989/eas.2018.15.2.193 |
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Probabilistic pounding analysis of high-pier continuous rigid frame bridge with actual site conditions |
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Hongyu Jia, Jingang Zhao, Xi Li, Lanping Li and Shixiong Zheng
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| Abstract | ||
| This paper studied the probability of pounding occurred between decks and abutments of a long span high-pier continuous rigid fame bridge subjected to ground motions with local soil effect. A pounding probability analysis methodology has been proposed using peak acceleration at bedrock as intensity measure (IM) for multi-support seismic analysis. The bridge nonlinear finite element (FE) models was built with four different separation distances. Effect of actual site condition and nonuniform spatial soil profiles on seismic wave propagating from bedrock to ground surface is modelled. Pounding probability of the high-pier bridge under multi-support seismic excitations (MSSE) is analyzed based on the nonlinear incremental dynamic analysis (n-IDA). Pounding probability results under uniform excitations (UE) without actual local site effect are compared with that under MSSE with site effect. The study indicates that the required design separation length between deck and abutment under uniform excitations is larger than that under MSSE as the peak acceleration at bedrock increases. As the increase of both separation distance between deck and abutment and the peak acceleration, the probability of pounding occurred at a single abutment or at two abutments simultaneously under MSSE is less than that under UE. It is of great significance considering actual local site effect for determining the separation distance between deck and abutment through the probability pounding analysis of the high-pier bridge under MSSE. | ||
| Key Words | ||
| local soil site effect; separation distance; pounding probability; high-pier bridge; nonlinear incremental dynamic analysis | ||
| Address | ||
| Hongyu Jia: Department of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China; The Key Laboratory of Urban Security and Disaster Engineering, Beijing University of Technology, Beijing 100124, China Jingang Zhao: College of Civil Engineering, Guizhou University, Guiyang 550025, China Xi Li: Department of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China; The Key Laboratory of Urban Security and Disaster Engineering, Beijing University of Technology, Beijing 100124, China Lanping Li: Department of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China Shixiong Zheng: Department of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China | ||