Reliability analysis of slopes reinforced by frame-anchor structures under earthquake conditions

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers and Geotechnics Pub Date : 2024-11-08 DOI:10.1016/j.compgeo.2024.106885
Zhengzhen Wang , Zhentao Zhang , Guoliang Dai , Yong Zhou , Chengming Cao , Tiantao Su
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Abstract

Earthquakes often cause slope collapse, which poses a serious threat to people’s lives and property. Therefore, it is important to study slope stability under earthquake conditions. The limit element upper bound method was improved and applied to the stability analysis of the slope reinforced by frame-anchor structures under earthquake action. The influences of anchor prestress and seismic force on the stability of slope were analysed comprehensively, and the soil was regarded as a heterogeneous material in its natural state under the action of weathering, deposition and historical stress. The rationality of the slope’s safety factor and failure mode obtained by this method was verified by an example. Based on the Monte Carlo method, considering the random distribution of soil parameters in space and the autocorrelation between any two points, the midpoint method based on Cholesky decomposition was used to simulate the relevant Gaussian random field. The solution program was compiled in MATLAB. The influence of several commonly used autocorrelation function types on the failure probability of slopes was analysed. The influence of the anchor rod prestress, anchor rod inclination angle and seismic force on the slope’s safety factor was discussed, and the failure mode of the slopes under a random field was studied. The results show that the velocity field boundary obtained by the reliability analysis method proposed in this paper is close to the sliding surface obtained by the traditional methods and the deviation of the slope’s safety factors between the proposed method and the traditional methods is small. The probability density functions of the slope’s safety factors under different autocorrelation functions are approximately normally distributed. Increasing the seismic force will increase the probability of slope failure, while the increase in anchor rod prestress and the decrease in anchor rod inclination angle have positive effects on the slope stability. The failure modes of slopes under different random distribution of soil parameters change significantly. The method proposed in this paper, which does not require to assume the failure model, can realistically and intuitively display the actual failure of slopes.
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地震条件下框架-锚杆结构加固斜坡的可靠性分析
地震经常会导致边坡坍塌,对人们的生命和财产构成严重威胁。因此,研究地震条件下的边坡稳定性非常重要。本文对有限元上限法进行了改进,并将其应用于地震作用下框架-锚杆结构加固边坡的稳定性分析。综合分析了锚杆预应力和地震力对边坡稳定性的影响,并将土体视为自然状态下的异质材料,在风化、沉积和历史应力的作用下,分析了边坡稳定性的合理性。通过实例验证了该方法得出的边坡安全系数和破坏模式的合理性。在蒙特卡洛法的基础上,考虑到土壤参数在空间的随机分布和任意两点之间的自相关性,采用基于 Cholesky 分解的中点法模拟相关的高斯随机场。求解程序由 MATLAB 编制。分析了几种常用的自相关函数类型对斜坡破坏概率的影响。讨论了锚杆预应力、锚杆倾角和地震力对边坡安全系数的影响,并研究了随机场下边坡的破坏模式。结果表明,本文提出的可靠性分析方法得到的速度场边界与传统方法得到的滑动面很接近,提出的方法与传统方法得到的边坡安全系数偏差很小。不同自相关函数下边坡安全系数的概率密度函数近似正态分布。地震力的增加会增加边坡破坏的概率,而锚杆预应力的增加和锚杆倾角的减小对边坡稳定性有积极影响。不同土体参数随机分布下的边坡破坏模式变化较大。本文提出的方法无需假设破坏模型,可以真实直观地显示边坡的实际破坏情况。
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来源期刊
Computers and Geotechnics
Computers and Geotechnics 地学-地球科学综合
CiteScore
9.10
自引率
15.10%
发文量
438
审稿时长
45 days
期刊介绍: The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.
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