Analysis on Rock Fracture Signals and Exploration of Infrared Advance Prediction under True Triaxial Loading
Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 5
Abstract
To predict the fractured rock failure under deep triaxial stress, true triaxial tests were carried out using thermal infrared monitoring and acoustic emissions (AE). Based on the thermal infrared imagery, which may hold potential information for predicting rock failure, this paper proposes the infrared temperature jumping rate (ITJR) to reflect the jumpiness of the temperature field matrix and establishes an infrared advance prediction method. The results show that the high-temperature area will converge and expand gradually, and cracks propagate along a certain direction. In the sudden-temperature-reduction area, rock stripping is easy to occur. At the boundary between high- and low-temperature areas, it is easy to produce breakage cracks and form rock spalling. In the short quiet period, the rock gradually gathers strain energy, which will be released in the fracture period. By comparing the time of AE sudden increase with the time of ITJR mutation, it shows that the method has a good advance prediction effect for rock fracture.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was supported by the Joint Program between National Natural Science Foundation of China and Shandong Province (U1806209) and Fundamental Research Funds for the Central Universities (TP-19-021A3 and FRF-IDRY-19-002).
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Journal of Materials in Civil Engineering
Volume 34 • Issue 5 • May 2022
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© 2022 American Society of Civil Engineers.
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Received: Jun 15, 2021
Accepted: Sep 16, 2021
Published online: Feb 23, 2022
Published in print: May 1, 2022
Discussion open until: Jul 23, 2022
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Cited by
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