基于粒子群优化算法的温度示踪渗漏探测应用研究  

Application research of temperature tracer leakage detection based on particle swarm optimization algorithm

作　　者：张国新 陈亮[2,3] 李小雨[1] 颜书法 ZHANG Guo-xin;CHEN Liang;LI Xiao-yu;YAN Shu-fa

机构地区：[1]中电投蒙东能源集团有限责任公司扎哈淖尔工业供水分公司,内蒙古通辽028000 [2]河海大学岩土力学与堤埋工程教育部重点试验室,江苏南京210098 [3]河海大学岩土工程科学研究所,江苏南京210098

出　　处：《东北水利水电》2022年第5期40-44,71,共6页Water Resources & Hydropower of Northeast China

基　　金：国家重点研发计划资助项目(2019YFC1510802)。

摘　　要：集中渗漏是堤坝发生破坏的主要形式之一,岩土体发生渗漏时,渗漏通道内的流体与附近的土体发生热交换,形成稳定的异常温度区。文中基于已有的渗漏通道温度场解析式,通过六参数Bursa-Wolf模型进行坐标变换,建立基于温度场探测渗漏多个集中渗漏通道的目标函数,利用粒子群优化算法,通过迭代的方式,对目标函数中的参数进行优化计算,找到最优解。最后运用该模型定量地找出内蒙古某水库的渗漏位置,并与同位素示踪结果相对比,两者结论一致,证明了粒子群优化算法在堤坝渗漏通道反演中的可行性。Concentrated leakage is one of the main forms of dam failure.When rock and soil leakage occurs,the fluid in the leakage channel exchange heat with the soil nearby,forming a stable abnormal temperature region.Based on the analytical formula of temperature field ofl eakage channel,the obj ective function of detecting multiple concentrated leakage channels based on temperature field is established by coordinate transformation of six-parameter Bursa-Wolfmodel.Particle swarm op timization algorithm is used to optimize the parameters in the objective function by iterative method,and the optimal solution is found.Finally,the model is used to find the leakage location of a reservoir in Inner Mongolia quantitatively,and the results are compared with the isotope tracer results.The two conclusions are consistent,which proves the feasibility of particle swarm optimization algorithm in the inversion of dam leakage channels.

关 键 词：集中渗漏 温度场 粒子群优化 温度示踪 

分 类 号：TV697.3[水利工程—水利水电工程]