TY - GEN
T1 - Design and implementation of damage simulation structural health monitoring test-bed
AU - Yuan, Mei
AU - Liang, Yuxuan
AU - Dong, Shaopeng
AU - Yu, Liang
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/11
Y1 - 2016/2/11
N2 - An online structural damage simulation and monitoring test-bed is introduced, it can provide experimental data for signal processing and feature extraction algorithm. By analyzing features of structural damage and acoustic emission (AE) signals of carbon fiber reinforced composite (CFRP), different kinds of CFRP damage AE signal's numerical models are constructed. The PZT actuator array can generate Lamb waves and simulate AE waves. Then the active or passive damage signals are acquired by sensor array. In addition, a set of supporting software based on LabVIEW and MATLAB is provided to help damage monitoring and signal processing. Software platform has well-designed human-machine interface and can drive hardware to generate and acquire sampling signals. Also, it can store sampling data and analysis signals with built-in algorithms for signal processing and damage feature extracting. Then a series of experiments are carried out on the pre-built SHM test-bed. The results suggest that models are correct and system is efficient in simulating structural damage signals.
AB - An online structural damage simulation and monitoring test-bed is introduced, it can provide experimental data for signal processing and feature extraction algorithm. By analyzing features of structural damage and acoustic emission (AE) signals of carbon fiber reinforced composite (CFRP), different kinds of CFRP damage AE signal's numerical models are constructed. The PZT actuator array can generate Lamb waves and simulate AE waves. Then the active or passive damage signals are acquired by sensor array. In addition, a set of supporting software based on LabVIEW and MATLAB is provided to help damage monitoring and signal processing. Software platform has well-designed human-machine interface and can drive hardware to generate and acquire sampling signals. Also, it can store sampling data and analysis signals with built-in algorithms for signal processing and damage feature extracting. Then a series of experiments are carried out on the pre-built SHM test-bed. The results suggest that models are correct and system is efficient in simulating structural damage signals.
KW - Acoustic emission signals
KW - Damage simulation
KW - Structural health monitoring
KW - Test-bed
UR - https://www.scopus.com/pages/publications/84963946820
U2 - 10.1109/IMCCC.2015.231
DO - 10.1109/IMCCC.2015.231
M3 - 会议稿件
AN - SCOPUS:84963946820
T3 - Proceedings - 5th International Conference on Instrumentation and Measurement, Computer, Communication, and Control, IMCCC 2015
SP - 1071
EP - 1076
BT - Proceedings - 5th International Conference on Instrumentation and Measurement, Computer, Communication, and Control, IMCCC 2015
A2 - Li, Jun-Bao
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Instrumentation and Measurement, Computer, Communication, and Control, IMCCC 2015
Y2 - 18 September 2015 through 20 September 2015
ER -