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Publishing Language: Chinese | Open Access

Study of the nonlinear mechanical behavior of rock materials using the FFT numerical method based on the actual mesostructure

Mingyao LiLei PengJianping Zuo( )Zhimin WangShaojin LiXiren Xue
School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
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Abstract

Rock heterogeneity (such as mineral inclusions, micro-cracks, micro-voids and other microstructures) significantly affects its nonlinear mechanical behavior and failure process. This paper utilizes the Fast Fourier transform-based(FFT) numerical method which does not require meshing of complex microstructure but directly obtains the microstructure of heterogeneous materials through the pixels of the image. In addition, the method can be naturally combined with digital image processing (DIP). An actual-microstructure-based FFT method is thereby developed to simulate the elastoplastic behavior of the heterogeneous rocks under external load. The influence of microstructure on the nonlinear behavior is discussed as well as the internal relationship between the microstructure and the macroscopic mechanical properties. The results show that the real-microstructure-based FFT method can well predict the nonlinear behavior before and after the peak strength of the rocks under different depths and confining pressures. The shape, size and distribution of microstructure directly determine the distribution of stress field in clay rock. The actual-microstructure-based FFT method proposed in this paper can reasonably consider the rock heterogeneity, and provides an important tool for studying the influence of the rock microstructure characteristics on the nonlinear mechanical behavior.

CLC number: TD313 Document code: A Article ID: 2096-2193(2022)04-0456-11

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Journal of Mining Science and Technology
Pages 456-466

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Cite this article:
Li M, Peng L, Zuo J, et al. Study of the nonlinear mechanical behavior of rock materials using the FFT numerical method based on the actual mesostructure. Journal of Mining Science and Technology, 2022, 7(4): 456-466. https://doi.org/10.19606/j.cnki.jmst.2022.04.007

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Received: 02 July 2021
Revised: 14 September 2021
Published: 30 August 2022
© The Author(s) 2022

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).