EXPERIMENTAL STUDY OF STRUCTURAL DAMAGE DIAGNOSIS METHOD BASED ON MULTI-SOURCE DATA FUSION
Damage identification plays an important role in structural health monitoring. In this paper, multi- source data fusion (MSDF) is employed to develop a novel structural damage identification method. First, essential theory and mathematic methods of MSDF are introduced. Then, structural damage identification method based on MSDF is presented. The philosophy of the method is to fuse identification results of two or more methods by MSDF technique. Later, experimental case study with concrete plates is performed. It is proved that if two methods are integrated by character-level information fusion, initial damage of structures can be more accurately localized and identified than by only one single method. In addition, the way to choosing mathematical methods for MSDF and applied principle of them should be analyzed and discussed in detail in the future.
data fusion structural damage identification Bayes method D-S evidence theory
Tao Liu Ai-Qun Li You-Liang Ding
College of Civil Engineering, Southeast University, Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, P.R. China
国际会议
长沙
英文
612-616
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）