Dong, H., Zhang, H., Xu, Z., Wang, Y., Zhang, L., Wen Jovis, T. Z., Sampath, S., & Hu, D. J. J. (2025). Coherent Rayleigh Backscattering-Based AE Sensing for Crack Detection in Steel Pipeline. CLEO 2025, AA117_7. https://doi.org/10.1364/cleo_at.2025.aa117_7
Abstract:
Our theoretical model and derived formula predict that the intensity-based DAS can accurately detect acoustic emissions from pipeline cracks. Preliminary experimental results validated the theoretical prediction for crack-induced AE waveform detection.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the National Research Foundation - Low-carbon energy research Phase 2 Programme Hydrogen and Emerging Technologies Funding Initiative (HETFI) Directed Hydrogen Programme
Grant Reference no. : U2307D4002