Seismic performance evaluation of high CFRD slopes subjected to near-fault ground motions based on generalized probability density evolution method
Seismic performance evaluation of high CFRD slopes subjected to near-fault ground motions based on generalized probability density evolution method
复制标题
基于广义概率密度演化法的近断层地震动作用下CFRD高边坡抗震性能评价
DOI：
10.1016/j.enggeo.2018.09.004
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发表时间：
2018
影响因子：
7.4
通讯作者：
Zou Degao
中科院分区：
文献类型：
--
作者：
Pang Rui;Xu Bin;Kong Xianjing;Zhou Yang;Zou Degao
本文主要研究了近断层地震作用下高面板堆石坝边坡的地震可靠度评估和随机动力响应分析。在产生两组近断层地震动（脉冲型和非脉冲型地震）后，用谱表示-随机函数法耦合一系列统计随机参数，进行概率估计。以某242 m高面板堆石坝为例，进行有限元随机动力时间序列分析，确定了安全系数、安全系数累积时间（F-s <= 1.0）和坝坡最大累积滑移量3个指标的二阶统计量（包括均值和标准差）和概率信息。采用有效非平稳近断层地震来确定坝坡动力反应评价的随机地震荷载。统计和概率分析结果表明，地震特性对边坡稳定性地震响应及脉冲特性有很大影响。随机近断层地震与GPDEM相结合，可以从随机性的角度有效地评估结构的抗震性能和可靠度，并可以直接得到结构的失效概率。
This research mainly addresses evaluating the seismic reliability and analyzing the random dynamic response of high concrete-faced rockfill dam (CFRD) slopes suffering from the near-fault earthquakes by establishing a novel method of generating the representative acceleration time histories coupled with the recently proposed generalized probability density evolution method (GPDEM). A probability evaluation is performed after generating two groups of near-fault ground motions, pulse-like and non-pulse-like earthquakes, coupling a series of statistical stochastic parameters with the spectral representation-random function method. A 242-m-high CFRD is selected as an example for finite element stochastic dynamic time series analysis, and second-order statistical values (including mean and standard deviation) and probability information of three indices the safety factor, the cumulative time of safety factor <= 1.0 (F-s <= 1.0) and the maximum cumulative slippage of the dam slopes are determined, respectively. The effective non-stationary near-fault earthquakes will be adopted to determine the stochastic earthquake loading for the dynamic response evaluation of dam slopes. The statistical and probabilistic results demonstrate that the seismic characteristics make a great difference to the seismic response of slope stability as well as the pulse properties. The stochastic near-fault earthquakes combined with the GPDEM can evaluate seismic performance and reliability effectively from the perspective of randomness, and the failure probability can be obtained directly.