Application of biogeography based optimization to locate critical slip surface in slope stability evaluation

Jayraj Singh, Amit Verma, H. Banka
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引用次数: 3

Abstract

Finding the critical slip surface in a soil or rock is very cumbersome and a difficult constrained global optimization problem. In presence of large solution search space and high computational complexity, the classical techniques are unable to find an optimal solution. In this paper, a meta-heuristic approach called Biogeography-based optimization (BBO) algorithm is applied to perform slope stability analysis, where Spencer method from limit equilibrium analysis is used as objective function for the algorithm. The validation and performance of the algorithm has been shown by solving a benchmark case study from the literature where, the implementation results confirm higher stability analysis and acquire more efficient result over relevant existing methods.
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基于生物地理学优化的临界滑面定位在边坡稳定性评价中的应用
寻找岩土的临界滑动面是一个非常繁琐和困难的约束全局优化问题。传统的方法在求解空间大、计算量大的情况下无法找到最优解。本文采用基于生物地理的元启发式优化(BBO)算法进行边坡稳定性分析,并将极限平衡分析中的Spencer方法作为算法的目标函数。通过解决文献中的一个基准案例研究,验证了算法的有效性和性能,实现结果证实了比现有相关方法更高的稳定性分析,并获得了更高效的结果。
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