Author
Listed:
- ZHIBO ZHANG
(School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China†State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, 221116 Jiangsu, P. R. China‡State Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo, 454000 Henan, P. R. China)
- ENYUAN WANG
(�School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221116 Jiangsu, P. R. China)
- HONGTU ZHANG
(��State Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo, 454000 Henan, P. R. China¶School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo, 454000 Henan, P. R. China)
- ZHIMING BAI
(School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China)
- YINGHUA ZHANG
(School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China)
- XU CHEN
(��School of Civil Engineering, Henan Polytechnic University, Jiaozuo, 454000 Henan, P. R. China)
Abstract
The elastic wave propagating in rock has velocity dispersion characteristic that holds an imperative significance in rock engineering. This paper aims at study elastic wave velocity dispersion characteristic in limestone dynamic fracture process. For this purpose, the experiment of elastic wave propagates in the limestone when cyclic loading and unloading process is conducted, and elastic wave velocity dispersion characteristic is analyzed. Based on multifractal theory and Raiga model, the influence of fracture degree on velocity dispersion characteristic is discussed qualitatively and quantitatively with evolution characteristic of the AE event. The research results indicate that there is velocity dispersion characteristic when elastic wave propagates in the limestone sample, which presents positive correlation between velocity and frequency. The variation of wave velocity dispersion characteristic is consistent with that of AE activities and both of them show a nonlinear increase trend with an increase of loading. The reason for velocity dispersion characteristic is that the retarding effect of microcracks on elastic wave velocity with different frequencies is different, and the effect is enhanced with the microcrack scale increasing. According to the variation of multifractal parameter Δα of the AE event energy series, the limestone sample under loading experiences a transformation process from small-scale microcrack to large-scale microcrack and small-scale microcrack dominance to multi-scale microcrack coexistence, and this complex transformation process results in nonlinear variation of velocity dispersion characteristic. Further, the multifractal parameter Δα is introduced into Raiga model to establish the velocity dispersion quantitative model. The model can describe well elastic wave velocity dispersion characteristic, and indicates quantitatively that there is an obvious nonlinear positive correlation between the dispersion characteristic and the fracture degree. The research results have important theoretical and practical significance for understanding elastic wave velocity dispersion characteristic in limestone dynamic fracture process. It can provide important support for characterizing rock fracture process using elastic wave velocity dispersion characteristic.
Suggested Citation
Zhibo Zhang & Enyuan Wang & Hongtu Zhang & Zhiming Bai & Yinghua Zhang & Xu Chen, 2023.
"Research On Nonlinear Variation Of Elastic Wave Velocity Dispersion Characteristic In Limestone Dynamic Fracture Process,"
FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(01), pages 1-12.
Handle:
RePEc:wsi:fracta:v:31:y:2023:i:01:n:s0218348x23500081
DOI: 10.1142/S0218348X23500081
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Cited by:
- Zang, Zesheng & Li, Zhonghui & Yin, Shan & Kong, Xiangguo & Niu, Yue & Liu, Binglong & Li, Huanhuan, 2024.
"Study on the propagation and multifractal characteristics of stress waves in coal based on electric potential and DIC characterization,"
Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
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