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Analysis of Mudstone Fracture and Precursory Characteristics after Corrosion of Acidic Solution Based on Dissipative Strain Energy

Author

Listed:
  • Xu Dong

    (School of Architecture Engineering, Xuzhou College of Industrial Technology, Xuzhou 221140, China)

  • Yu Wu

    (State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Kewang Cao

    (State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China
    School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030, China)

  • Naseer Muhammad Khan

    (Department of Mining Engineering, Balochistan University of Information Technology Engineering and Management Sciences, Quetta 87300, Pakistan)

  • Sajjad Hussain

    (Department of Mining Engineering, University of Engineering & Technology, Peshawar 25000, Pakistan)

  • Seungyeon Lee

    (School of Civil, Environmental and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Chuan Ma

    (School of Civil, Environmental and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

Abstract

The deformation and failure of rock materials are closely related to the strain energy characteristics during the loading process. These strain energy characteristics and rock properties are greatly affected when the rock is subjected to the acidic solution. To study the effects of chemical solutions with different pH on the mechanical properties and strain energy mechanism of mudstone, the chemical corrosion mudstone samples are subjected to a uniaxial loading testing machine (CN64 electro-hydraulic servo). The corrosive effects of the acidic solution on the porosity, strain energy characteristics, and failure mode of mudstone samples were thoroughly investigated. The findings of this research indicate that: (1) The rate of change in the porosity and chemical damage coefficient of rock samples after chemical corrosion decreases, which is closely linear with the increase of solution pH; (2) The total strain energy, elastic strain energy, and dissipative strain energy decrease with the increase of pH, and, as a result, it is proposed that the observed turning point of the proportion curve of dissipated strain energy from decline to rise is used as a precursor point of the rock failure; (3) The stress value of the failure precursor point increases and the strain value decreases with the increase in pH value. However, the ratio of the stress value of the failure precursor point to the peak stress hardly changes with pH value, and its value is about 0.883; and (4) Rock samples soaked in a weak acidic chemical solution (pH 7.3 and 5.3) are damaged by tensile crack, while rock samples soaked in a strong acidic chemical solution (pH 3.3 and 1.3) are mainly damaged by the combination of tensile and shear. The findings of this study can be used to provide an experimental and theoretical foundation for monitoring rock engineering disasters such as slope, tunnel, and coal mine failures.

Suggested Citation

  • Xu Dong & Yu Wu & Kewang Cao & Naseer Muhammad Khan & Sajjad Hussain & Seungyeon Lee & Chuan Ma, 2021. "Analysis of Mudstone Fracture and Precursory Characteristics after Corrosion of Acidic Solution Based on Dissipative Strain Energy," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4478-:d:537928
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    Citations

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    Cited by:

    1. Zheyuan Feng & Qi Xu & Xinyu Luo & Ruyu Huang & Xin Liao & Qiang Tang, 2022. "Microstructure, Deformation Characteristics and Energy Analysis of Mudstone under Water Absorption Process," Energies, MDPI, vol. 15(20), pages 1-17, October.
    2. Sajjad Hussain & Naseer Muhammad Khan & Muhammad Zaka Emad & Abdul Muntaqim Naji & Kewang Cao & Qiangqiang Gao & Zahid Ur Rehman & Salim Raza & Ruoyu Cui & Muhammad Salman & Saad S. Alarifi, 2022. "An Appropriate Model for the Prediction of Rock Mass Deformation Modulus among Various Artificial Intelligence Models," Sustainability, MDPI, vol. 14(22), pages 1-22, November.

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