Abnormality monitoring model of cracks in concrete dams  

作　　者：BAO TengFei QIN Dong ZHOU XiWu WU GuiFen 

机构地区：[1]State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China [2]National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China [3]Jiangsu Province Water Resources Engineering Consulted Co. Ltd,, Nanjing 210029, China [4]China Huadian Engineering Co. Ltd., Beijing 100035, China

出　　处：《Science China(Technological Sciences)》2011年第7期1914-1922,共9页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 51079046, 50909041, 50809025, 50879024);the National Science and Technology Support Plan (Grant Nos. 2008BAB29B03, 2008BAB29B06);the Special Fund of State Key Laboratory of China (Grant Nos. 2009586012, 2009586912, 2010585212);the Fundamental Research Funds for the Central Universities (Grant Nos. 2009B08514, 2010B20414, 2010B01414, 2010B14114);China Hydropower Engineering Consulting Group Co. Science and Technology Support Project (Grant No. CHC-KJ-2007-02);Jiangsu Province "333 High-Level Personnel Training Project" (Grant No. 2017-B08037);Graduate Innovation Program of Universities in Jiangsu Province (Grant No. CX09B_163Z);Science Foundation for The Excellent Youth Scholars of Ministry of Education of China (Grant No. 20070294023)

摘　　要：The abnormality monitoring model (AMM) of cracks in concrete dams is established through integrating safety monitoring theories with abnormality diagnosis methods of cracks. In addition, emphasis is placed on the influence of crack depth on crack mouth opening displacement (CMOD). A linear hypothesis is proposed for the propagation process of cracks in concrete based on the fictitious crack model (FCM). Abnormality points are detected through testing methods of dynamical structure mutation and statistical model mutation. The solution of AMM is transformed into a global optimization problem, which is solved by the particle swarm optimization (PSO) method. Therefore, the AMM of cracks in concrete dams is established and solved completely. In the end of the paper, the proposed model is validated by a typical crack at the 105 m elevation of a concrete gravity arch dam.

关 键 词：concrete dam cracks abnormality monitoring model a linear hypothesis abnormality diagnosis particle swarm optimization method 

分 类 号：TV642[水利工程—水利水电工程] TU755.7[建筑科学—建筑技术科学]