基于遗传算法的渡槽传感器优化布置  

Optimal Arrangement of Aqueduct Sensor Based on Genetic Algorithm

作　　者：顾培英[1,2] 王岚岚[1,2] 邓昌[1,2] 王建[1,2] GU Peiying;WANG Lanlan;DENG Chang;WANG Jian(Materials and Structural Engineering Department,Nanjing Hydraulic Research Institute,Nanjing210029,China;Key Laboratory of Water Science and Engineering,Ministry of Water Resources,Nanjing210029,China)

机构地区：[1]南京水利科学研究院材料结构研究所,江苏南京210029 [2]水利部水科学与水工程重点实验室,江苏南京210029

出　　处：《华北水利水电大学学报（自然科学版）》2017年第6期54-59,共6页Journal of North China University of Water Resources and Electric Power：Natural Science Edition

基　　金：国家重点研发计划课题(2016YFC0401807);中央级公益性科研院所基本科研业务费专项资金项目(Y417012)

摘　　要：对于老旧渡槽,科学的损伤诊断有助于及时发现隐患并进行处理,其中传感器的优化布置是损伤诊断的关键。分别阐述了渡槽动力特性研究现状、传感器优化布置的方法以及基于遗传算法的桥梁传感器优化布置,最后分析了渡槽与桥梁的异同。基于遗传算法的渡槽传感器优化布置,可以借鉴遗传算法在桥梁传感器优化布置中的改性方法,综合考虑渡槽槽身底板、侧壁、支撑结构的动力特性,优化传感器的数目和布置位置。阐述和分析结果为基于遗传算法的渡槽传感器布置位置、遗传算法的改进提供参考。In recent years,the old aqueducts have been increasing,and the scientific damage diagnosis can help to find out the hidden trouble and to deal with them.The optimal arrangement of sensors is critical for damage diagnosis.At present,there are many literatures about optimal arrangement of bridge sensors,but there are not any relevant literatures on optimal placement of aqueduct sensors based on genetic algorithm.In order to fill in the blank,we expound the current situation of the research on the dynamic characteristics of aqueduct,the methods of optimal placement of sensors and the optimal arrangement of bridge sensors based on genetic algorithm.Finally,we analyze the similarities and differences among all the characteristics ofaqueduct and bridge,the analytical results will provide a reference for the placement of aqueduct sensors and the improvement of genetic algorithm.

关 键 词：渡槽 损伤诊断 传感器优化布置 遗传算法 动力特性 桥梁 

分 类 号：TV312[水利工程—水工结构工程]