渐近搜索算法在软土基坑基底抗隆起上限分析中的应用
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重庆大学

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中图分类号:

TU 447

基金项目:

重庆市建设科技计划项目(2019-0045); 重庆市教委科学技术研究项目(KJZD-K201900102)


Application of random search algorithm to basal stability upper bound analysis of braced excavations in soft clay
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Chongqing University

Fund Project:

Chongqing Construction Science and Technology Plan Project (No. 2019-0045); Science and Technology Research Program of Chongqing Municipal Education Commission (No. KJZD-K201900102)

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    摘要:

    如何确定潜在破坏面,是软土基坑基底抗隆起上限分析的难点与重点。搜索算法由于具有原理简单、适用范围广、易于编制计算程序等特点,已在边坡稳定与可靠度分析中成功应用。本文参考边坡稳定性分析中的破坏面渐近搜索算法,并将拓展其应用到软土基坑基底抗隆起上限分析。先利用Monte Carlo方法随机生成初始破坏面,然后利用渐近搜索算法获得最终的临界破坏面。并采用设置多组初始破坏面的方法解决常规一次搜索可能陷入局部最优解的问题。最后通过实例分析检验渐近搜索算法的实际应用效果,并围绕算法中的初始搜索步长、破坏面结点个数、搜索次数等关键参数进行讨论,给出建议取值。通过案例分析可知,渐近搜索算法在软土基坑基底抗隆起上限分析中应用效果很好,且相比于其他的上限分析方法,渐近搜索算法计算简单,无需假设破坏面形状参数。

    Abstract:

    Determining the potential failure surface plays a role in basal stability analysis of braced excavations in soft clay by upper bound method. Search method of failure surface based on a brief theory is easily programmed and spread. And search algorithm was used in slope stability analysis successfully owing to its merits. In this paper, progressive search method is spread from slope stability analysis to basal stability analysis of braced excavation in soft clay. Firstly, Monte Carlo method is adopted to randomly generate initial failure surfaces. Then the critical failure surfaces are proposed by progressive search method. For the problem that calculation results tend to catch a local extremum by using one initial failure surface, many initial surfaces are generated in this paper. Moreover, this paper verifies the performance of Random search method by case studies, and proposes conclusions about search length, number of nodes on the failure surface and number of searches. At last this paper draw a conclusion that progressive search method is applied in basal stability analysis successfully. And compared to other upper bound method, progressive search method is easier to calculate without assuming shape parameters.

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  • 收稿日期:2020-04-23
  • 最后修改日期:2020-07-08
  • 录用日期:2020-07-16
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