基于智能单粒子算法的楔体最危险滑动面搜索

Searching for critical slip surface of wedge failure of rock slope based on intelligent single particle algorithm

在岩质挖方边坡稳定性分析中,由于实际的地质结构面产状通常具有离散性且分布范围不确定,导致楔体的确定存在偶然性。以往多通过寻找每组结构面的优势产状进行楔体滑动稳定分析,该方法不能全面考虑所有可能形成的随机楔体组合,当优势产状组合形成的楔体安全系数与最危险滑动面组合的楔体安全系数相差较大时,可能会使边坡设计方案偏于不安全。提出了一种新的楔体稳定性优化分析方法,该法采用智能单粒子算法(ISPO)来搜索具有最小安全系数的楔体及其滑动面组合。通过与其他方法的对比,说明提出的方法具有更好的稳定性和更快的收敛速度。

Due to discreteness and uncertain distribution of practical geological structural interface, the uncertainty of geolog-ical wedge determination exists in stability analysis of excavated rock slope. The dominant occurrence of every group of structural interface obtained by statistical method is used to analyze wedge stability, but not all the possible combinations of random wedges can be considered. If the safety factor of a wedge, searched by combination of dominant occurrence, differs largely from the value of a wedge that contains the critical combination of slip surfaces, it may increase risk for slope project design. A new optimization analysis method for wedge stability is proposed, which uses intelligent single particle algorithm （ ISPO） to search the critical com-bination of slip interfaces of the wedge with minimum safety factor. By comparing the new algorithm with other methods, it indi-cates that the presented algorithm has better stability and faster convergence speed.