岩石力学与工程学报
巖石力學與工程學報
암석역학여공정학보
CHINESE JOURNAL OF ROCK MECHANICS AND ENGINEERING
2010年
4期
814-821
,共8页
曹平%张科%汪亦显%胡汉华
曹平%張科%汪亦顯%鬍漢華
조평%장과%왕역현%호한화
边坡工程%简化Bishop法%搜索变量%分区间搜索策略%混沌优化%复合形法
邊坡工程%簡化Bishop法%搜索變量%分區間搜索策略%混沌優化%複閤形法
변파공정%간화Bishop법%수색변량%분구간수색책략%혼돈우화%복합형법
slope engineering%simplified Bishop method%search variable%divided-interval search%chaotic optimization%complex method
针对复杂边坡特点,提出改进的滑动面搜索变量选取方式,通过左、右出滑点和弧高控制滑动面位置,搜索变量取值范围不再需要经验假定.使用分区间搜索策略,以寻找最危险滑动面和潜在危险滑动面,同时也将搜索区域分割,增大算法搜索到全局最优值的可能性.利用混沌优化算法和复合形法联合搜索算法确定复杂边坡的最小安全系数和滑动面,充分利用混沌搜索和复合形法各自的优点,有效地避免陷入局部最小值,并克服混沌优化耗时较长的不足.通过对复杂边坡实例的计算,结果证明,采用改进搜索变量的基本复合形法寻优成功率比传统搜索变量高出40%~60%.联合搜索法的最小安全系数集中于1.70~1.72,全局搜索能力远远优于基本复合形法.多级边坡工程算例的分析表明,该边坡的4条潜在滑动面,其安全系数与最小安全系数相差不超过7.6%,最小仅相差3.6%,但相应的滑动面位置与最危险滑动面完全不同.
針對複雜邊坡特點,提齣改進的滑動麵搜索變量選取方式,通過左、右齣滑點和弧高控製滑動麵位置,搜索變量取值範圍不再需要經驗假定.使用分區間搜索策略,以尋找最危險滑動麵和潛在危險滑動麵,同時也將搜索區域分割,增大算法搜索到全跼最優值的可能性.利用混沌優化算法和複閤形法聯閤搜索算法確定複雜邊坡的最小安全繫數和滑動麵,充分利用混沌搜索和複閤形法各自的優點,有效地避免陷入跼部最小值,併剋服混沌優化耗時較長的不足.通過對複雜邊坡實例的計算,結果證明,採用改進搜索變量的基本複閤形法尋優成功率比傳統搜索變量高齣40%~60%.聯閤搜索法的最小安全繫數集中于1.70~1.72,全跼搜索能力遠遠優于基本複閤形法.多級邊坡工程算例的分析錶明,該邊坡的4條潛在滑動麵,其安全繫數與最小安全繫數相差不超過7.6%,最小僅相差3.6%,但相應的滑動麵位置與最危險滑動麵完全不同.
침대복잡변파특점,제출개진적활동면수색변량선취방식,통과좌、우출활점화호고공제활동면위치,수색변량취치범위불재수요경험가정.사용분구간수색책략,이심조최위험활동면화잠재위험활동면,동시야장수색구역분할,증대산법수색도전국최우치적가능성.이용혼돈우화산법화복합형법연합수색산법학정복잡변파적최소안전계수화활동면,충분이용혼돈수색화복합형법각자적우점,유효지피면함입국부최소치,병극복혼돈우화모시교장적불족.통과대복잡변파실례적계산,결과증명,채용개진수색변량적기본복합형법심우성공솔비전통수색변량고출40%~60%.연합수색법적최소안전계수집중우1.70~1.72,전국수색능력원원우우기본복합형법.다급변파공정산례적분석표명,해변파적4조잠재활동면,기안전계수여최소안전계수상차불초과7.6%,최소부상차3.6%,단상응적활동면위치여최위험활동면완전불동.
In view of the characteristic of complex slope,an improved method of selecting search variable is presented. The positions of two exiting points and arc height of the slip surface are taken as search variables,and assumptions aren(t required. Divided-interval search has been introduced so as to locate the most dangerous slip surfaces and the next critical slip surfaces,of which the obvious advantage is employed to divide the search region,increasing the possibility of finding the global optimum. Chaos optimization method and improved complex method are combined to search the minimum safety factor and critical slip surface. Mixed search algorithm combines the merits of two algorithms,which can effectively avoid local minimum,and overcome time-consuming disadvantage of chaos optimization method. Mixed search algorithm is applied to searching the minimum safety factor of a complex slope;and the result shows that the rate of successful computation of basic complex method with improved search variable is 40%-60% higher than that with the current search variable. The minimum safety factor obtained by mixed search algorithm is ranging from 1.70 to 1.72. So mixed search algorithm is much more likely to find the global optimum of complex slope. And analyses of multi-step slope engineering example show that there are four next critical slip surfaces with small differences in safety factor;the relative difference is 7.6% in maximum,and 3.6% in minimum,but large differences in the location of critical slip surface.