Multi-source information fusion applied to structural damage diagnosis

被引:9
|
作者
Liu, Tao [1 ,2 ]
Li, AiQun [1 ,2 ]
Ding, YouLiang [1 ,2 ]
Zhao, DaLiang [3 ]
Li, ZhiJun [1 ,2 ]
机构
[1] Southeast Univ, Sch Civil Engn, Nanjing, Jiangsu Prov, Peoples R China
[2] Southeast Univ, Key Lab Concrete & Prestressed Concrete Struct, Minist Educ, Nanjing, Jiangsu Prov, Peoples R China
[3] Lanzhou Jiaotong Univ, Sch Civil Engn, Lanzhou 730070, Gansu, Peoples R China
基金
美国国家科学基金会;
关键词
multi-source information fusion; structural damage diagnosis; Bayesian reasoning method; D-S evidence theory; sensitivity to damage; robusticity to noise;
D O I
10.1080/15732470802588747
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study aims to import multi-source information fusion (MSIF) into structural damage diagnosis to improve its validity. Two structural damage identification methods based on MSIF are put forward, one of which is to fuse two or more structural damage detection methods by MSIF and another of which is the improved modal strain energy method by multi-mode information processing based on MSIF. Through a concrete plate experiment it is proved that, if two methods are integrated by character-level information fusion, structural initial damages can be more accurately identified than by a single method. In a simulation of a concrete box beam bridge, it is indicated that the improved modal strain energy method has a nice sensitivity to structural initial damages and a favorable robusticity to noise. These two structural damage diagnosis methods based on MSIF have good effects on structural damage identification and good practicability to actual structures.
引用
收藏
页码:353 / 367
页数:15
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