Vol.15, No.1, 2021, pp.23-37, doi:10.32604/sdhm.2021.013737
OPEN ACCESS
ARTICLE
Guided Wave Based Damage Detection Method for Aircraft Composite Structures under Varying Temperatures
  • Dongyue Gao1, Yunlong Ma2, Zhanjun Wu3,*, Yuebin Zheng3, Hongbo Lu1
1 Sun Yat-Sen University, Guangzhou, 510275, China
2 China Academy of Launch Vehicle Technology, Beijing, 100076, China
3 Dalian University of Technology, Dalian, 116024, China
* Corresponding Author: Zhanjun Wu. Email:
Received 19 August 2020; Accepted 30 September 2020; Issue published 22 March 2021
Abstract
Guided waves based damage detection methods using base signals offer the advantages of simplicity of signal generation and reception, sensitivity to damage, and large area coverage; however, applications of the technology are limited by the sensitivity to environmental temperature variations. In this paper, a Spearman Damage Index-based damage diagnosis method for structural health condition monitoring under varying temperatures is presented. First, a PZT sensor-based Guided wave propagation model is proposed and employed to analyze the temperature effect. The result of the analysis shows the wave speed of the Guided wave signal has higher temperature sensitivity than the signal fluctuation features. Then, a Spearman rank correlation coefficient-based damage index is presented to identify damage of the structure under varying temperatures. Finally, a damage detection test on a composite plate is conducted to verify the effectiveness of the Spearman Damage Index-based damage diagnosis method. Experimental results show that the proposed damage diagnosis method is capable of detecting the existence of the damage and identify its location under varying temperatures.
Keywords
Structure health monitoring; Guided wave; temperature effect; Spearman rank correlation coefficient; damage index
Cite This Article
Gao, D., Ma, Y., Wu, Z., Zheng, Y., Lu, H. (2021). Guided Wave Based Damage Detection Method for Aircraft Composite Structures under Varying Temperatures. Structural Durability & Health Monitoring, 15(1), 23–37.
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