基于模拟退火和粒子群混合算法的地应力场分析  

Geostress field analysis based on simulated annealing and particle swarm algorithm

作　　者：李永松[1,2] 尹健民[1] 陈建平[2] 许静[1] 汪洁[1] 

机构地区：[1]长江科学院水利部岩土力学与工程重点实验室,湖北武汉430010 [2]中国地质大学(武汉)工程学院,湖北武汉430074

出　　处：《人民长江》2011年第23期65-67,97,共4页Yangtze River

基　　金："十一五"国家科技支撑计划项目(2008BAB29B01);水利部公益性行业科研专项项目(201001009);中央级公益性科研院所基金项目(CKSF2011020);国家重点基础研究发展计划"973"项目(2011CB710603)

摘　　要：针对地应力场分析计算时边界荷载难以确定的问题,将模拟退火和粒子群优化算法引入到地应力场的分析研究中。由于粒子群算法容易陷入局部最优的缺陷,结合模拟退火思想与粒子群优化算法形成一种混合优化算法,以提高粒子群算法的收敛精度。运用该算法对新疆哈德布特水电站地应力场进行分析研究。计算结果表明:地应场计算值和实测值吻合较好,说明该混合优化方法具有较高可靠性。As it is difficult to define the boundary conditions when a field geostress analysis is carried out, we apply the parti- cle swarm optimization algorithm and simulated annealing algorithm into the field geostress analysis. As the particle swarm optimi- zation algorithm has a defect of falling into local extreme easily, the simulated annealing algorithm is introduced to form a new hy- brid optimization algorithm to improve computational precision. Using this hybrid algorithm, the in - situ geostress field of Hade- bute Hydropower Station is analyzed. The calculated results match the measured results very well.

关 键 词：地应力 模拟退火 粒子群 哈德布特水电站 

分 类 号：TU431[建筑科学—岩土工程]