Abstract
Multiple active waveguide systems are examined on a universal testing machine (UTM) for their acoustic emission (AE) behavior and correlated with its deformation dynamics. We have experimented with 04 waveguide centrals designed using steel and aluminum, and considering both resonant and broadband AE sensors. The AE characteristics of an active waveguide system (AWS) are observed for various compression loads at different deformation rates ranging from 0.5 to 10 mm/min and optimize a deformation velocity of 1 mm/min as the threshold level. Multiple AE signal parameters including counts, signal duration, energy, signal strength, and their derived parameters have been instrumentalized to indicate the breaching of the threshold slope mass deformation rate. The AE signal parameters are analyzed with respect to the rate and magnitude of the deformation. To validate the results obtained on the UTM, an artificial soil slope is created in the laboratory and preliminary results are in consistency with UTM results. The threshold deformation rate could be implemented in engineering the AE technology-based landslide early warning system, under various site conditions.
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Acknowledgements
DK would like to express gratitude to the Department of Physics and Astrophysics, University of Delhi, and Solid State Physics Laboratory (SSPL), DRDO, for allowing Ph.D. degree. DK is grateful to the Council of Scientific & Industrial Research (CSIR), India, for providing financial aid for his research aspirations. The authors recognize CSIR-Central Building Research Institute (CBRI), Roorkee, for facilitating universal testing machine for above-stated experiments.
Funding
This study is supported by Defence Research and Development Organization (DRDO) project S&T(A)/22-23/TASK-39. DK has received research fellowship from Council of Scientific & Industrial Research (CSIR), India, for this study.
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Kumar, D., Mahapatro, A.K. & Singh, S.K. Active waveguide deformation dynamics using acoustic emission technology for landslide early warning system. Bull Eng Geol Environ 83, 68 (2024). https://doi.org/10.1007/s10064-024-03548-6
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DOI: https://doi.org/10.1007/s10064-024-03548-6