Version 1
: Received: 19 August 2017 / Approved: 21 August 2017 / Online: 21 August 2017 (10:27:05 CEST)
How to cite:
Dong, Q.; Ding, G.; Cheng, J. Application of Carbon Nano-sensors in 3-D Braided Composite Material Damage Detection. Preprints2017, 2017080073. https://doi.org/10.20944/preprints201708.0073.v1
Dong, Q.; Ding, G.; Cheng, J. Application of Carbon Nano-sensors in 3-D Braided Composite Material Damage Detection. Preprints 2017, 2017080073. https://doi.org/10.20944/preprints201708.0073.v1
Dong, Q.; Ding, G.; Cheng, J. Application of Carbon Nano-sensors in 3-D Braided Composite Material Damage Detection. Preprints2017, 2017080073. https://doi.org/10.20944/preprints201708.0073.v1
APA Style
Dong, Q., Ding, G., & Cheng, J. (2017). Application of Carbon Nano-sensors in 3-D Braided Composite Material Damage Detection. Preprints. https://doi.org/10.20944/preprints201708.0073.v1
Chicago/Turabian Style
Dong, Q., Gang Ding and Jie Cheng. 2017 "Application of Carbon Nano-sensors in 3-D Braided Composite Material Damage Detection" Preprints. https://doi.org/10.20944/preprints201708.0073.v1
Abstract
Aiming at the damage detection and continuous monitoring of high efficiency composite structure, the method of carbon nano sensor embeded in the 3-D braided composite material specimen was put forward and the method of damage location for 3-D braided composite material was described. In this paper, the mechanical and electrical characteristics of carbon nano-fiber were analyzed. Considering the massive data of the health monitoring of composite processing, to ensure that the system has good real-time performance, quaternary matrix Singular Value Decomposition algorithm is proposed to simplify data and improve the efficiency of the algorithm. The existence of injury is determined and the damage location is calculated by comparing with key features of healthy specimen. Experimental results prove the method is feasible and effective.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
