Abstract：Research purposes ： Because the bridge structure of long - term using may be damaged by external load , environmental effect , natural calamities and human factors , its loading capability will decrease gradually , and its security has attracted more attention. Therefore , it is an imperative problem to detect bridge damages so that its security can be evaluated and monitored nowadays.
Research conclusions：For the typical Benchmark structure , an assessment method of structural overall damage degree by using the acceleration power spectrum and principal component analysis with the Mahalanobis distance is presented.(1) The damage diagnosis method directly uses power spectrum for bridge damage identification , does not need any modal parameters and integral modal data , so damage diagnosis results are not affected by modal errors and incomplete
data. (2) The damage diagnosis , which is performed by analyzing data characteristics and data structure of power spectrum , does not need bridge mechanics mode , so it has not any special requirement for bridge structure types , restricting manner and boundary condition. (3) The dynamic test method using manual excitation and SISO is simple and convenient. (4) The damage diagnosis method proposed in the paper has very important theoretical and practical value for health monitoring and damage diagnosis of existing bridge.
杨佑发,王飞宇,徐德健. 基于健康监测Benchmark结构的损伤识别方法[J]. 铁道工程学报, 2015, 32(11): 80-86.
YANG You - fa, WANG Fei - yu，XU De - jian. Damage Identification Metliod for Benchmark Structure Based on Health Monitoring. Journal of Railway Engineering Society, 2015, 32(11): 80-86.
2015, Vol. 32 
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