Multi-field coupled sensing network for health monitoring of composite bolted joint

Yishou Wang; Xinlin Qing; Liang Dong; Sourav Banerjee

doi:10.1117/12.2218685

1 April 2016 Multi-field coupled sensing network for health monitoring of composite bolted joint

Yishou Wang, Xinlin Qing, Liang Dong, Sourav Banerjee

Proceedings Volume 9805, Health Monitoring of Structural and Biological Systems 2016; 98052L (2016) https://doi.org/10.1117/12.2218685
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2016, Las Vegas, Nevada, United States

Abstract

Advanced fiber reinforced composite materials are becoming the main structural materials of next generation of aircraft because of their high strength and stiffness to weight ratios, and excellent designability. As key components of large composite structures, joints play important roles to ensure the integrity of the composite structures. However, it is very difficult to analyze the strength and failure modes of composite joints due to their complex nonlinear coupling factors. Therefore, there is a need to monitor, diagnose, evaluate and predict the structure state of composite joints. This paper proposes a multi-field coupled sensing network for health monitoring of composite bolted joints. Major work of this paper includes: 1) The concept of multifunctional sensor layer integrated with eddy current sensors, Rogowski coil and arrayed piezoelectric sensors; 2) Development of the process for integrating the eddy current sensor foil, Rogowski coil and piezoelectric sensor array in multifunctional sensor layer; 3) A new concept of smart composite joint with multifunctional sensing capability. The challenges for building such a structural state sensing system and some solutions to address the challenges are also discussed in the study.

Citation Download Citation

Yishou Wang, Xinlin Qing, Liang Dong, and Sourav Banerjee "Multi-field coupled sensing network for health monitoring of composite bolted joint", Proc. SPIE 9805, Health Monitoring of Structural and Biological Systems 2016, 98052L (1 April 2016); https://doi.org/10.1117/12.2218685

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