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

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.

Authors

Institutions

Publication Details

Journal
Discover Materials
Published
2026-05-17
DOI
https://doi.org/10.1007/s43939-026-00683-7
Primary Topic
Fire effects on concrete materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Soumen Paul, A. K. Raina, Yewuhalashet Fissha, Somnath Chattopadhyaya et al.
Discover Materials
Fire effects on concrete materials
article

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

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

Abstract

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.

Discover Materials
Kanazawa University (JP), Central South University (CN), Indian Institute of Technology Dhanbad (IN), Bankura University (IN), National Institute of Technology, Asahikawa College (JP), Central Institute of Mining and Fuel Research (IN), Aksum University (ET)
Sustainable cities and communities
Openalex Percentile: Top 9%
Fire effects on concrete materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.