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发布时间：2019-03-09

论文类型：期刊论文

发表时间：2012-01-01

发表刊物：STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

收录刊物：EI、SCIE

卷号：11

期号：1

页面范围：13-26

ISSN号：1475-9217

关键字：structural health monitoring; structural damage detection; Dempster-Shafer evidence theory; Bayesian theory; uncertainty

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.