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Impact Force Magnitude and Location Recognition of Composite Materials

Yajie Sun1, 2, *, Yanqing Yuan2, Qi Wang2, Sai Ji1, 2, Lihua Wang3, Shao’en Wu4

1 Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
2 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
3 School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
4 Department of Computer Science, Ball State University, Muncie, USA.

* Corresponding Author: Yajie Sun. Email: email.

Computers, Materials & Continua 2020, 64(3), 1647-1656. https://doi.org/10.32604/cmc.2020.06331

Abstract

In order to identify the location and magnitude of the impact force accurately, determine the damage range of the structure and accelerate the health monitoring of key components of the composite, this paper studies the location and magnitude of the impact force of composite plates by an inverse method. Firstly, a PZT sensor mounted on the material plate is used to collect the response signal generated by the impact force, which is from several impact locations, and establish transfer functions between the impact location and the PZT sensor. Secondly, this paper applies several forces to any location on the material plate, and collects the corresponding response signals, and reconstructs the impact force of several locations in turn. Finally, according to the reconstruction result of each location, the correct impact location is identified. Then, an improved regularization method is used to optimize the reconstructed impact force and accurate the magnitude of the impact force. The comparison experiments prove that the recognition error of this method is smaller.

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Cite This Article

Y. Sun, Y. Yuan, Q. Wang, S. Ji, L. Wang et al., "Impact force magnitude and location recognition of composite materials," Computers, Materials & Continua, vol. 64, no.3, pp. 1647–1656, 2020. https://doi.org/10.32604/cmc.2020.06331

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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