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<p>Prediction of the unconfined strength of anisotropic rock masses is challenging due to the influence of various parameters, including joint angle, side slope, and the variable position of footing relative to the slope edge. I have used experimental studies, others used only analytical studies. This study investigates physical as well computational analysis for the load-carrying capacity of rock mass. Experimental results revealed various modes of failure, with initiation of splitting, toppling, sliding of rock mass element, with the importance of buckling mode of failure. Buckling length emerges as a crucial determinant of load capacity, with shorter lengths associated with higher capacities. Experimental analysis indicates that increment in joint angle and side slope lead to decreased load capacity and failure mode in a combination of toppling and buckling failures. Regression analysis demonstrates strong explanatory power, with models effectively explaining variability in buckling length (R-Squared: 94.5%) and average deflection (R-Squared: 69.4%). ANOVA results confirm the significance of the regression models in explaining variability in buckling length and average deflection. The study’s findings underscore the importance of considering joint angle and side slope in assessing load capacity, with implications for civil engineering construction in rock formations. Overall, this research provides valuable insights into the factors influencing the load-carrying capacity of rock mass specimens, aiding in the design and optimization of structures in rocky terrain. </p>

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Analysis of Unconfined Jointed Rock Mass Using Response Surface Methodology

  • 期刊论文

  • 发表日期：

    2025年5月22日

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  • Dharmendra Kumar Shukla,
  • Shrinarayan Yadav,
  • Yogesh Iyer Murthy

摘要

Prediction of the unconfined strength of anisotropic rock masses is challenging due to the influence of various parameters, including joint angle, side slope, and the variable position of footing relative to the slope edge. I have used experimental studies, others used only analytical studies. This study investigates physical as well computational analysis for the load-carrying capacity of rock mass. Experimental results revealed various modes of failure, with initiation of splitting, toppling, sliding of rock mass element, with the importance of buckling mode of failure. Buckling length emerges as a crucial determinant of load capacity, with shorter lengths associated with higher capacities. Experimental analysis indicates that increment in joint angle and side slope lead to decreased load capacity and failure mode in a combination of toppling and buckling failures. Regression analysis demonstrates strong explanatory power, with models effectively explaining variability in buckling length (R-Squared: 94.5%) and average deflection (R-Squared: 69.4%). ANOVA results confirm the significance of the regression models in explaining variability in buckling length and average deflection. The study’s findings underscore the importance of considering joint angle and side slope in assessing load capacity, with implications for civil engineering construction in rock formations. Overall, this research provides valuable insights into the factors influencing the load-carrying capacity of rock mass specimens, aiding in the design and optimization of structures in rocky terrain.