基于优化子集模拟的考虑空间变异性的斜坡地震协作可靠性分析

IF 3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Probabilistic Engineering Mechanics Pub Date : 2024-03-19 DOI:10.1016/j.probengmech.2024.103617
Bin Xu , Dianjun Zhu , Mingyang Xu , Rui Pang
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引用次数: 0

摘要

考虑到土壤材料的空间变异性,对实际斜坡进行地震可靠性分析至关重要。然而,对于大尺度随机场离散化、高精度有限元分析和小破坏概率事件分析而言,地震荷载下的边坡随机分析效率低下。针对这种情况,本研究提出了一种基于修正线性估计法(MLEM)和优化子集模拟(OSS)的协同可靠性分析框架。利用 MLEM 对锦屏一左岸边坡模型的不确定参数随机场进行了有效离散,并进行了灵敏度分析。考虑到敏感随机参数采用不同的交叉相关度,采用 OSS 方法对粗网格模型进行随机有限元分析。根据响应调理法 (RCM) 获得细网格样本。利用 MLEM 保证两组随机场的一致性,得到不同不确定参数交叉相关系数下边坡的地震破坏概率和可靠度指数。结果表明,参数的交叉相关程度对边坡的地震可靠度影响很大。考虑到岩土材料的抗剪强度参数往往呈负相关,有必要基于精细模型进行精细分析。
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Seismic collaborative reliability analysis for a slope considering spatial variability base on optimized subset simulation

Seismic reliability analysis of actual slopes considering the spatial variability of soil materials is crucial. However, for the discretization of large-scale random fields, high-precision finite element analysis and analysis of small failure probability events, the random analysis of slopes under seismic loads is inefficient. To address this situation, this study proposes a collaborative reliability analysis framework based on the modified linear estimation method (MLEM) and optimized subset simulation (OSS). First, the random field of the uncertain parameters of the Jinping-I left bank slope model is efficiently discretized by the MLEM, and a sensitivity analysis is carried out. Then, considering the adoption of different degrees of cross-correlation of the sensitive random parameters, the OSS method is used to perform random finite element analysis on the coarse mesh model. Finally, the fine mesh samples are obtained according to the response conditioning method (RCM). The MLEM is used to ensure the consistency of the two sets of random fields, and the seismic failure probability and reliability index of the slope under different cross-correlation coefficients of uncertain parameters are obtained. The results suggest that the degree of cross-correlation of parameters has a great influence on the seismic reliability of the slope. Considering that the shear strength parameters of geotechnical materials are often negatively correlated, the fine analysis based on a fine model is necessary.

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来源期刊
Probabilistic Engineering Mechanics
Probabilistic Engineering Mechanics 工程技术-工程:机械
CiteScore
3.80
自引率
15.40%
发文量
98
审稿时长
13.5 months
期刊介绍: This journal provides a forum for scholarly work dealing primarily with probabilistic and statistical approaches to contemporary solid/structural and fluid mechanics problems encountered in diverse technical disciplines such as aerospace, civil, marine, mechanical, and nuclear engineering. The journal aims to maintain a healthy balance between general solution techniques and problem-specific results, encouraging a fruitful exchange of ideas among disparate engineering specialities.
期刊最新文献
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