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Effects of Strain Rate and Temperature on Physical Mechanical Properties and Energy Dissipation Features of Granite

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  • Yangchun Wu

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Linqi Huang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Xibing Li

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Yide Guo

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Huilin Liu

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Jiajun Wang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

Abstract

Dynamic compression tests of granite after thermal shock were performed using the split Hopkinson pressure bar system, to determine the effects of strain rate and temperature on the dynamic mechanical parameters, energy dissipation features and failure modes of granite. The results indicate that the dynamic compressive strength increased exponentially with strain rate and decreased with increasing temperature. Temperature and incident energy can equivalently transform for the same dynamic compressive strength. Dynamic elastic modulus of granite decreased obviously with increasing temperature but did not have a clear correlation with strain rate. As the impact gas pressure increased, the stress-strain curves changed from Class II to Class I behavior, and the failure modes of specimens transformed from slightly split to completely pulverized. The critical temperature at which the stress-strain curves changed from Class II to Class I was determined to be 300 °C, when the impact gas pressure is 0.6 MPa. As the applied temperature increased, density, wave velocity and wave impedance all decreased, meanwhile, the degree of granite specimen crushing was aggravated. Under the same incident energy, as the temperature increased, the reflected energy increased notably and the absorbed energy increased slightly, but the transmitted energy decreased. For the same temperature, the reflected and absorbed energies increased linearly as the incident energy increased, whereas the transmitted energy increased logarithmically. The SEM images of the thermal crack distribution on the granite specimen surface at different temperatures can well explain the essence of mechanical parameters deterioration of granite after thermal shock. This work can provide guidance for impact crushing design of high temperature rocks during excavations.

Suggested Citation

  • Yangchun Wu & Linqi Huang & Xibing Li & Yide Guo & Huilin Liu & Jiajun Wang, 2022. "Effects of Strain Rate and Temperature on Physical Mechanical Properties and Energy Dissipation Features of Granite," Mathematics, MDPI, vol. 10(9), pages 1-20, May.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1521-:d:807453
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    References listed on IDEAS

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    1. Guo, Liang-Liang & Zhang, Yong-Bo & Zhang, Yan-Jun & Yu, Zi-Wang & Zhang, Jia-Ning, 2018. "Experimental investigation of granite properties under different temperatures and pressures and numerical analysis of damage effect in enhanced geothermal system," Renewable Energy, Elsevier, vol. 126(C), pages 107-125.
    2. Zhao, Yangsheng & Feng, Zijun & Zhao, Yu & Wan, Zhijun, 2017. "Experimental investigation on thermal cracking, permeability under HTHP and application for geothermal mining of HDR," Energy, Elsevier, vol. 132(C), pages 305-314.
    3. Peng Xiao & Jun Zheng & Bin Dou & Hong Tian & Guodong Cui & Muhammad Kashif, 2021. "Mechanical Behaviors of Granite after Thermal Shock with Different Cooling Rates," Energies, MDPI, vol. 14(13), pages 1-17, June.
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    Cited by:

    1. Jiajun Wang & Linqi Huang & Xibing Li & Yangchun Wu & Huilin Liu, 2022. "Effect of Particle Size Distribution on the Dynamic Mechanical Properties and Fractal Characteristics of Cemented Rock Strata," Mathematics, MDPI, vol. 10(12), pages 1-21, June.
    2. Niaz Muhammad Shahani & Barkat Ullah & Kausar Sultan Shah & Fawad Ul Hassan & Rashid Ali & Mohamed Abdelghany Elkotb & Mohamed E. Ghoneim & Elsayed M. Tag-Eldin, 2022. "Predicting Angle of Internal Friction and Cohesion of Rocks Based on Machine Learning Algorithms," Mathematics, MDPI, vol. 10(20), pages 1-17, October.
    3. Shaofeng Wang & Xin Cai & Jian Zhou & Zhengyang Song & Xiaofeng Li, 2022. "Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics," Mathematics, MDPI, vol. 10(18), pages 1-5, September.

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