期刊
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
卷 20, 期 12, 页码 1439-1450出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/1045389X09338323
关键词
structural health monitoring (SHM); Lamb waves; damage identification; probabilistic algorithm; digital damage fingerprints (DDFs); virtual sensing paths (VSPs)
资金
- Australian Research Council
A probabilistic damage diagnostic algorithm based on correlation analysis was investigated to locate single or multiple damage. To highlight the changes in signals corresponding to the presence of damage, digital damage fingerprints (DDFs) were extracted from the captured Lamb wave signals. The algorithm was validated through experimental studies where dual artificially introduced notches in an aluminum plate were successfully located using the constructed images of the probability of the presence of damage. Damage identification using either the captured wave signals or their DDFs agreed well with the actual situations. The concept of virtual sensing paths (VSPs) was proposed to enhance the performance of the algorithm. The results demonstrated that the correlation-based algorithm with the applications of DDFs and VSPs was capable of identifying multiple damage in plate-like structures.
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