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<p>This paper presents a reproducible experimental and statistical methodology for evaluating the thermo-mechanical response of marble and granite subjected to extreme temperature conditions. The method is designed to support rock mechanics applications in fire-affected structures, geothermal systems, and underground engineering. Two varieties of Makrana marble and two types of granite were systematically heated from 35&#xa0;°C to 600&#xa0;°C using a controlled thermal protocol. Changes in density and uniaxial compressive strength were measured following standardized testing procedures to quantify thermal damage and mechanical degradation. A statistical analysis framework, including regression modeling and Pearson’s correlation analysis, was implemented to characterize the relationships between temperature and rock properties. The proposed methodology enables consistent assessment of thermal sensitivity in crystalline rocks and can be readily adapted for other lithologies and high-temperature engineering scenarios. This work provides a practical reference for researchers seeking standardized experimental and analytical approaches to evaluate rock performance under elevated temperatures.</p>

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An experimental and statistical methodology for evaluating the thermo-mechanical response of marble and granite under high-temperature conditions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月17日

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  • Soumen Paul,
  • Hajime Ikeda,
  • A. K. Raina,
  • Somnath Chattopadhyaya,
  • Yewuhalashet Fissha,
  • Fisseha Gebreegziabher Assefa,
  • N. Rao Cheepurupalli

摘要

This paper presents a reproducible experimental and statistical methodology for evaluating the thermo-mechanical response of marble and granite subjected to extreme temperature conditions. The method is designed to support rock mechanics applications in fire-affected structures, geothermal systems, and underground engineering. Two varieties of Makrana marble and two types of granite were systematically heated from 35 °C to 600 °C using a controlled thermal protocol. Changes in density and uniaxial compressive strength were measured following standardized testing procedures to quantify thermal damage and mechanical degradation. A statistical analysis framework, including regression modeling and Pearson’s correlation analysis, was implemented to characterize the relationships between temperature and rock properties. The proposed methodology enables consistent assessment of thermal sensitivity in crystalline rocks and can be readily adapted for other lithologies and high-temperature engineering scenarios. This work provides a practical reference for researchers seeking standardized experimental and analytical approaches to evaluate rock performance under elevated temperatures.