Numerical modeling of the load effect on PZT-induced guided wave for load compensation of damage detection

Hu Sun; Aijia Zhang; Yishou Wang; Xinlin P. Qing

doi:10.1117/12.2259986

5 April 2017 Numerical modeling of the load effect on PZT-induced guided wave for load compensation of damage detection

Hu Sun, Aijia Zhang, Yishou Wang, Xinlin P. Qing

Proceedings Volume 10170, Health Monitoring of Structural and Biological Systems 2017; 101702E (2017) https://doi.org/10.1117/12.2259986
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

Guided wave-based structural health monitoring (SHM) has been given considerable attention and widely studied for large-scale aircraft structures. Nevertheless, it is difficult to apply SHM systems on board or online, for which one of the most serious reasons is the environmental influence. Load is one fact that affects not only the host structure, in which guided wave propagates, but also the PZT, by which guided wave is transmitted and received. In this paper, numerical analysis using finite element method is used to study the load effect on guided wave acquired by PZT. The static loads with different grades are considered to analyze its effect on guided wave signals that PZT transmits and receives. Based on the variation trend of guided waves versus load, a load compensation method is developed to eliminate effects of load in the process of damage detection. The probabilistic reconstruction algorithm based on the signal variation of transmitter-receiver path is employed to identify the damage. Numerical tests is conducted to verify the feasibility and effectiveness of the given method.

Conference Presentation

Citation Download Citation

Hu Sun, Aijia Zhang, Yishou Wang, and Xinlin P. Qing "Numerical modeling of the load effect on PZT-induced guided wave for load compensation of damage detection", Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 101702E (5 April 2017); https://doi.org/10.1117/12.2259986

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