张海, 王程西, 王岱, 刘中宪, 孟思博. 近断层地震动作用下浅埋综合管廊地震易损性研究[J]. 工程力学, 2024, 41(2): 213-221. DOI: 10.6052/j.issn.1000-4750.2023.02.0071
引用本文: 张海, 王程西, 王岱, 刘中宪, 孟思博. 近断层地震动作用下浅埋综合管廊地震易损性研究[J]. 工程力学, 2024, 41(2): 213-221. DOI: 10.6052/j.issn.1000-4750.2023.02.0071
ZHANG Hai, WANG Cheng-xi, WANG Dai, LIU Zhong-xian, MENG Si-bo. STUDY ON SEISMIC FRAGILITY OF SHALLOW BURIED UTILITY TUNNEL UNDER NEAR-FAULT GROUND MOTION[J]. Engineering Mechanics, 2024, 41(2): 213-221. DOI: 10.6052/j.issn.1000-4750.2023.02.0071
Citation: ZHANG Hai, WANG Cheng-xi, WANG Dai, LIU Zhong-xian, MENG Si-bo. STUDY ON SEISMIC FRAGILITY OF SHALLOW BURIED UTILITY TUNNEL UNDER NEAR-FAULT GROUND MOTION[J]. Engineering Mechanics, 2024, 41(2): 213-221. DOI: 10.6052/j.issn.1000-4750.2023.02.0071

近断层地震动作用下浅埋综合管廊地震易损性研究

STUDY ON SEISMIC FRAGILITY OF SHALLOW BURIED UTILITY TUNNEL UNDER NEAR-FAULT GROUND MOTION

  • 摘要: 为准确评估近断层地震动作用下浅埋综合管廊的地震损伤,利用ABAQUS建立土-结构整体有限元模型,以综合管廊层间位移角最大值为损伤指标,基于IDA方法进行结构地震易损性分析,重点考察近断层地震动强度指标和场地土特性对综合管廊抗震性能的影响。结果表明:近断层地震动加速度型指标的离散性最小,建议选取加速度型指标PGA、Sa作为地震动强度指标;以有限元计算数据为样本,采用BP神经网络可高效预测综合管廊结构的地震损伤,PGA、Sa及土体剪切模量对综合管廊地震易损性分析的影响较大,随着土体剪切模量的增大,超越概率逐渐减小,同时,LS、CP状态的超越概率变化范围要明显大于OP、IO状态;考虑PGA和Sa双参数更能准确反映不同地震动参数对结构损伤的影响,而仅考虑PGA或Sa单参数有可能高估结构的损伤程度。因此,对综合管廊等浅埋地下结构进行地震易损性分析时,建议综合考虑PGA和Sa的影响。

     

    Abstract: In order to accurately evaluate the seismic damage of shallow buried utility tunnel under near-fault ground motion, ABAQUS is used to establish the finite element model of whole soil-structure, while the analysis of seismic fragility of structure is conducted based on the incremental dynamic analysis (IDA) method with the maximum of inter-story displacement angle of utility tunnel as the damage measure, and the influence of both the intensity measure of near-fault ground motion and the characteristics of site soil on the seismic performance of utility tunnel is investigated. The results show that the dispersion of acceleration-type measure of near-fault ground motion is the least, and it is suggested that peak ground acceleration (PGA) and spectral acceleration (Sa) in the acceleration-type measures should be selected as the intensity measures of ground motion. The back propagation (BP) neural network can be used to effectively predict the seismic damage of utility tunnel structure with the calculated data by finite element method as samples, and the PGA, Sa and shear modulus of soil all have great influence on the seismic fragility of utility tunnel. Meanwhile, the exceedance probability gradually decreases with the increase of the shear modulus of soil. The variation range of exceedance probability at Life Safety (LS) or Collapse Prevention (CP) performance level is significantly greater than that at Operational (OP) or Immediate Occupancy (IO) performance level. Considering that double parameters of PGA and Sa can more accurately reflect the effect of the different ground motion parameters on structural damage, and considering single parameter of PGA or Sa may overestimate the damage degree of structures, it is suggested that both PGA and Sa should be considered for the analysis of seismic fragility of shallow buried underground structures such as utility tunnel.

     

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