Journal
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
Volume 31, Issue 18, Pages 2137-2151Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1045389X20942320
Keywords
damage detection; complete ensemble empirical mode decomposition adaptive noise method; quasi-static macrostrain; long-gauge fiber Bragg grating sensor
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Funding
- National Key Technologies Research and Development Program of China [2017YFC0805900]
- Innovative Venture Technology Investment Project of Hunan Province [2018GK5028]
- Fund for Distinguished Young Scientists of Jiangsu Province [BK20190013]
- National Natural Science Foundation of China [51778490, 51578140]
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The distributed long-gauge fiber Bragg grating sensing technology has been studied and developed in recent years for structural health monitoring of civil engineering structures. Also, the corresponding damage identification method is one of the research hotspots and still needs to be enhanced. In this article, a novel damage detection method based on the distributed long-gauge fiber Bragg grating sensing technique is proposed to detect and localize damages. The method is based on the advanced complete ensemble empirical mode decomposition adaptive noise algorithm. Measured macrostrain responses from the long-gauge fiber Bragg grating sensors are decomposed into intrinsic mode functions, and the quasi-static macrostrains are extrapolated and extracted. A damage indicator is therefore proposed and built based on the quasi-static macrostrain time history. The effectiveness of the proposed damage detection approach was validated by numerical simulations of a cantilever beam. The robustness of the method was further verified by considering the noise pollution contained within the measured macrostrain. Experiments with a practical cantilever steel beam with different damage scenarios were also conducted and studied. Results proved that the proposed method could not only detect but also locate the damages accurately, and therefore has the promising potential for structural damage detection in civil engineering.
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