桁架
航程(航空)
登普斯特-沙弗理论
计算机科学
实验数据
情态动词
结构工程
噪音(视频)
功能(生物学)
算法
数据挖掘
统计
人工智能
数学
工程类
材料科学
生物
图像(数学)
航空航天工程
进化生物学
高分子化学
作者
Yuequan Bao,Hui Li,Yonghui An,Jinping Ou
标识
DOI:10.1177/1475921710395813
摘要
In this study, the Dempster–Shafer (D–S) evidence theory-based approach for structural damage detection is presented. First, the damage basic probability assignment (BPA) function of substructures using each data set measured from the monitored structure is calculated. Then, the D–S evidence theory is employed to combine the individual damage BPAs in order to reach the final damage detection results. To reduce the computational cost of this method when used in complex structures, the preliminary damage range is first localized by modal strain energy method. An experimental investigation on a 20-bay rigid truss structure is carried out to illustrate the identified ability of the proposed approach with considering the uncertainty of model and measurement noise. The results indicate that the damage detection results obtained by combining the damage BPAs from each test data are better than the individual results obtained by each test data separately.
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