Abstract
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 Lab VIEW 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.
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