边坡临界滑动面的确定是边坡抗滑稳定分析中的关键问题之一。针对基本蚁群算法搜索边坡临界滑动面效率低、效果差的缺点，提出运用蚁群系统算法结合矢量和法来搜索边坡任意形状临界滑动面的位置，并引入蚂蚁分工机制和信息素平滑化机制来改进算法的全局寻优性能。通过对澳大利亚计算机应用协会（ACADS）设计的两道经典考题以及一个水库岸坡的分析计算，验证了改进搜索算法的可行性和准确性。计算结果对比分析表明，改进的蚁群系统算法很好地提高了搜索效率，且可以有效地避免算法陷入早熟停滞。
Abstract
The determination of critical slip surface is one of the key issues in slope stability analysis. To overcome the shortcomings of basic ant colony algorithm, the combining of the ant colony system (ACS) algorithm with the vector sum analysis method (VSAM) was proposed for searching the noncircular critical slip surface of a slope. The ant division mechanism and the pheromone flatness mechanism were introduced to improve the global optimization ability of the ACS. Through two typical slope examples of ACADS and a reservoir bank slope, the feasibility and accuracy of the algorithm were verified. The results show that the proposed algorithm improves the search efficiency and prevents the algorithm from falling into premature.
关键词
边坡 /
非圆弧临界滑动面 /
滑面搜索 /
蚁群系统算法 /
矢量和分析方法
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Key words
slope /
non-circular critical slip surface /
slip surface search /
ant colony system /
vector sum analysis method
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