Journal
ROCK MECHANICS AND ROCK ENGINEERING
Volume 54, Issue 9, Pages 4867-4888Publisher
SPRINGER WIEN
DOI: 10.1007/s00603-021-02529-5
Keywords
Creep model; Accelerating creep stage; Quantitative identification; Singular value decomposition; AE waveform
Funding
- National Natural Science Foundation of China [51664018, 51704128]
- Outstanding Doctoral Dissertation Cultivation Program of JiangXi University of Science and Technology [3105500025]
- Jiangxi Graduate Student Innovation Project [YC2019-B110]
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The study established a creep model for red sandstone specimens based on experiments, revealing the intrinsic relationship between cumulative AE events and strain in the accelerating creep stage. Quantitative identification of the accelerating creep stage of red sandstone was achieved using the singular value decomposition method for cumulative AE events.
Rock creep characteristics play an important role in geological engineering and have important physical implications when evaluating the long-term stability of rock structures. In this study, a series of uniaxial compression and creep experiments were performed on red sandstone specimens from Jiangxi Province, China. During experiments, stress, strain, acoustic emission (AE) parameters, and waveform files were recorded continuously. First, an AE creep model with a damping factor of red sandstone specimen was established based on the theory of statistical mechanics and damage mechanics. The intrinsic relationship between the cumulative AE events and the strain in the accelerating creep stage was revealed by a creep model derived from the inversion of experimental data in the decelerating and steady creep stages. Then, using the singular value decomposition method for cumulative AE events, quantitative identification of the accelerating creep stage of red sandstone was achieved. The evolution characteristics of b value in the creep process of red sandstone specimens are revealed. The AE signals in the decelerating creep and steady creep stages had abrupt waveforms, whereas the AE signals in the accelerating creep stage had mixed abrupt and continuous waveforms. Therefore, quantitative identification of the accelerating creep stage was achieved from the perspective of AE waveform characteristics. Finally, the relationship between the wave characteristics of AE signals and the length of microcracks in the rock was identified, and the wave characteristics of AE signals at different creep stages were considered from the perspective of elastic wave dynamics.
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