Abstract

Research on energy accumulation and releasing in the rock plays a key role on revealing its failure mechanism. This paper establishes a microscopic structure model of granite using Otsu digital image processing (DIP) technology and particle flow code software (PFC2D). A series of numerical compression tests under different confining pressures were conducted to investigate the macro and micro characteristics of energy evolution in granite. The results showed that the energy evolution of granite is divided into three stages: stable accumulation, slow dissipation, and rapid release. With increasing confining pressure, the strain energy accumulation ratio decreased exponentially and the peak value of strain energy increased linearly. It was found that the energy accumulation speed in the pre-peak stage increased as a linear function, while the energy release speed in the post-peak stage decreased as an exponential function. In addition, the feldspar is the main microstructure which played a major part in accumulating energy in granite. However, the unit mineral energy of mica particles was bigger than that of feldspar and quartz. When subjected to increasing confining pressure, the feldspar’s total energy growth rate was fastest. Meanwhile, the mica’s unit energy growth rate was fastest.

Highlights

  • Understanding the energy evolution in rock is critical for rock engineering design and assessment and has been one of the key problems facing modern researchers [1,2,3,4,5]

  • When the granite was subjected to loading, feldspar played a major part in energy and the accumulated strain energy to loading, feldspar played a major part in energy accumulation, and the accumulated strain energy in feldspar accounted for approximately 78.5% of the total strain energy

  • The input energy, strain energy dissipation energy obtained by the simulation corresponded with evolution of input energy, and strain energy and dissipation energy obtained by the simulation those observed in laboratory tests

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Summary

Introduction

Understanding the energy evolution in rock is critical for rock engineering design and assessment and has been one of the key problems facing modern researchers [1,2,3,4,5]. Many scholars have researched the energy accumulation, dissipation, and release in the rock by way of theoretical analysis and laboratory tests. Li et al [10] researched the energy dissipation and release in rocks during triaxial compression with different loading and unloading paths. Yang et al [11] studied the blasting response of a jointed rock mass and found that the theoretical criterion based on the minimum strain energy density factor predicted the crack initiation behavior well. Chen et al [14] acquired similar results on shale samples

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