An efficient approach for locating the critical slip surface in slope stability analyses using a real-coded genetic algorithm
An efficient approach for locating the critical slip surface in slope stability analyses using a real-coded genetic algorithm
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DOI：
10.1139/t09-124
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发表时间：
2010-06
影响因子：
3.6
通讯作者：
Yu-chao Li;Yun-Min ChenY.-M. Chen;T. Zhan;D. Ling;P. Cleall
中科院分区：
文献类型：
--
作者：
Yu-chao Li;Yun-Min ChenY.-M. Chen;T. Zhan;D. Ling;P. Cleall
采用实数编码遗传算法，提出了一种确定边坡稳定分析中非圆临界滑动面的搜索方法。将极限平衡法和基于有限元的方法与搜索方法相结合来计算安全系数。根据边坡问题的特点，建立几何和运动学协调约束，防止滑动面不合理。提出了一种动态边界技术，以提高搜索性能，从而在解域内进行更有效的探索。大量算例表明，本文提出的搜索方法在解决实际边坡稳定性问题上是有效的。所提出的搜索方法是稳定的，并且与独立分析的结果高度相关。并将实数编码遗传算法成功地应用于非圆临界滑动面搜索问题。
A real-coded genetic algorithm is employed to develop a search approach for locating the noncircular critical slip surface in slope stability analyses. Limit equilibrium methods and the finite-element-based method are incorporated with the proposed search approach to calculate the factor of safety. Geometrical and kinematical compatibility constraints are established based on the features of slope problems to prevent slip surfaces from being unreasonable. A dynamic bound technique is presented to improve the search performance with more effective exploration within the solution domain. A number of examples are investigated that demonstrate the proposed search approach to be efficient in yielding accurate solutions to practical slope stability problems. The proposed search approach is stable and highly correlated with the results of independent analyses. Furthermore, this paper demonstrates the successful application of a real-coded genetic algorithm to noncircular critical slip surface search problems.