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Title: Mitigation of adhesive nonlinearity in nonlinear-lamb-wave-based SHM systems
Authors: Shan, S 
Wen, F 
Cheng, L 
Issue Date: 2017
Publisher: DEStech Publications
Source: In FK Chang & F Kopsaftopoulos (Eds.), Structural Health Monitoring 2017 Real-Time Material State Awareness and Data-Driven Safety Assurance ; Proceedings of the Eleventh International Workshop on Structural Health Monitoring, September 12-14, 2017, 2017, v. 1, p. 588-595. Lancaster, PA: DEStech Publications, 2017 How to cite?
Abstract: In practical structural health monitoring systems, the existence of the adhesive nonlinearity may jeopardize the damage diagnosis if the non-damage-related sources are non-negligible. In this work, a system optimization is carried out with the focus on the wave generating process based on a previously established nonlinear shear-lag model, aiming at mitigating the adhesive nonlinearity. The effectiveness of the optimization strategy is validated in both finite element and experimental perspectives. For the former, as the adhesive nonlinearity and the material nonlinearity of plate can be separately introduced to the system, their corresponding nonlinear responses can be directly compared between the unoptimized and the optimized systems. The dominant influence of the material nonlinearity of the plate in the optimized system is highlighted. For the latter, the cumulative effect of the S mode Lamb wave responses is investigated to determine the dominant nonlinear source. Results show that a clear cumulative phenomenon can be observed in the optimized system, which means the adhesive nonlinearity is effectively mitigated.
ISBN: 9781605953304
Appears in Collections:Conference Paper

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