Key Takeaways & Executive Findings
- •• Temperature has a more significant effect than cycle count on the degradation of P-wave velocity and tensile strength of granite. • Damage evolution exhibits a dual-threshold behavior: degradation accelerates markedly above 400 °C and stabilizes after 5 thermal cycles. • Fracture surfaces transition from planar to rugged with increasing temperature, with peak-valley height differences at 600 °C being about three times those at 200 °C. • A novel failure precursor indicator based on acoustic emission energy entropy provides reliable early-warning signals for impending rock failure.
Abstract
Investigating the damage evolution of surrounding rock under thermal shock cycles is crucial for ensuring the stability of engineering rock masses. This study performed Brazilian splitting tests on granite specimens under varying temperature and cycle conditions, employing acoustic emission monitoring, digital image correlation, and three-dimensional scanning technology. A systematic analysis was conducted on the patterns of damage evolution, failure precursor, and response mechanisms under combined thermal and cyclic loading. Experimental results show that both P-wave velocity and tensile strength degrade significantly with increasing temperature and cycle count, with temperature having a more pronounced effect than cycle count. Notably, damage evolution exhibits a dual-threshold behavior in which degradation accelerates markedly above 400 °C and stabilizes after 5 thermal cycles. Fracture surfaces evolve from initially planar to rugged morphologies, with peak-valley height differences at 600 °C being approximately three times greater than those at 200 °C. Furthermore, based on acoustic emission energy entropy analysis, we introduce a novel failure precursor indicator where the sustained increase and critical surge in average entropy serve as reliable early-warning signals for impending rock failure. These findings establish a solid theoretical basis and practical methodology for damage assessment and instability early-warning systems in high-temperature rock engineering.
1. Introduction
With the acceleration of urbanization and advancements in construction industrialization, the development and utilization of deep underground spaces—including deep foundations for super high-rise buildings, urban underground transportation tunnels, and large-scale geothermal energy wells—have become critical pathways to promote intensive urban development and contribute to carbon neutrality goals [1–3]. Granite and other rock types, serving as primary surrounding rock masses, are subjected to the combined effects of elevated temperatures and groundwater seepage during long-term service [4]. Taking urban deep geothermal development projects as an example, cold water is typically injected into reservoirs to extract geothermal resources through thermal conduction between high-temperature rocks and water [5,6]. This process exposes rock masses to repeated thermal shock cycles, with the rapid cooling phase being particularly critical as it generates significant tensile stress on the surface that can initiate and propagate microcracks [7,8], leading to considerable cumulative thermal damage that compromises the long-term stability and safe operation of geothermal wells [9]. Therefore, a comprehensive investigation into the evolution of damage accumulation in granite under thermal shock cycles and the establishment of corresponding early-warning mechanisms for instability are essential for ensuring the operational safety of deep rock engineering projects.
Recent systematic studies have investigated the physical and mechanical properties of rocks under thermal shock conditions. The primary physical characteristics of rocks include color, density, volume, wave velocity, and porosity [10–13]. Liu et al. [14] found that granite specimens exhibit marked color variations with increasing temperature, gradually transitioning from gray-brown to gray below 600 °C. Fan et al. [15] revealed that the attenuation rate of the longitudinal wave progressively increases with temperature. Gao et al. [16] documented gradual increases in both pore volume and porosity in granite specimens after thermal shock.
Loading authentic research manuscript (Pages 1–5)...
Zhenjiang Huang, Mingxuan Shen, Yu Zhao, Chaolin Wang, Jing Bi, Yongfa Zhang, Shuang Dang, Yuhang Zhao (2025). Experimental study on damage evolution and failure precursor characteristics of granite under thermal shock cycles. SinoTechIntel Verified Research. https://doi.org/10.1016/j.ijmst.2025.11.006
Research & Educational Purpose Only:The translations, structured abstracts, analytical annotations, and data reports provided by SinoTechIntel are intended exclusively for academic research, internal corporate R&D, and educational benchmarking. They do not constitute formal engineering, chemical safety, legal, or professional advice.
Copyright & Intellectual Property Notice: Original copyright of the underlying source articles and experimental data remains with the respective authors, institutions, and original publishing journals. SinoTechIntel claims intellectual property only over its proprietary translations, analytical syntheses, and AEO structured enhancements in accordance with international fair use and academic citation principles.
Frequently Asked Questions
What is the main objective of this study?
The main objective is to investigate the damage evolution and failure precursor characteristics of granite under thermal shock cycles, providing a theoretical basis for damage assessment and early-warning systems in high-temperature rock engineering.
How does temperature affect granite properties compared to cycle count?
Temperature has a more pronounced effect than cycle count on the degradation of P-wave velocity and tensile strength. Degradation accelerates markedly above 400 °C, while it stabilizes after 5 thermal cycles.
What methods were used in the experiments?
The study employed Brazilian splitting tests on granite specimens, combined with acoustic emission monitoring, digital image correlation, and three-dimensional scanning technology to analyze damage evolution and failure precursors.
What is the novel failure precursor indicator introduced?
Based on acoustic emission energy entropy analysis, the study introduces a novel indicator where the sustained increase and critical surge in average entropy serve as reliable early-warning signals for impending rock failure.
What are the practical applications of this research?
The findings establish a solid theoretical basis and practical methodology for damage assessment and instability early-warning systems in high-temperature rock engineering, such as deep geothermal energy extraction and underground construction.
Related Technical Papers & Translations
A Novel Approach for Enhanced Brain Tumor Segmentation Using Multimodal MRI and Deep Learning
Brain tumor segmentation from multimodal MRI is crucial for diagnosis and treatment planning. In this study, we propose a novel deep learning framework that integrates structural and functional imaging modalities to improve segmentation accuracy. Our method employs a multi-scale attention mechanism and a hybrid loss function to handle class imbalance and boundary ambiguity. Evaluated on the BraTS benchmark, our approach achieves state-of-the-art performance, with Dice scores of 0.91, 0.87, and 0.84 for whole tumor, core, and enhancing tumor, respectively. Furthermore, we demonstrate the generalizability of our model across different scanners and protocols. Our findings suggest that the proposed method can significantly aid clinical decision-making and surgical planning.
Investigation of coupled acoustic and electrical responses and early warning approaches during re-loading of damaged coal
Initial damage from engineering disturbances in deep coal mining degrades mechanical properties and heightens dynamic-hazard risks, challenging conventional monitoring. This study probes the coupled acoustic-electrical responses of initially damaged coal under reloading and develops a multi-parameter, multi-level dynamic integrated early-warning model. Using a true-triaxial Split Hopkinson Pressure Bar (SHPB) system, we prepared specimens with graded damage by varying static deviatoric stresses and dynamic impacts. Uniaxial compression reloading was conducted with synchronous acoustic emission (AE) and resistivity monitoring. Joint time-domain responses of force, acoustics, and electricity delineated distinct loading stages. Time-frequency features were extracted via Fourier and wavelet transforms; crack architecture was quantified by 3D AE localization and fractal-dimension analysis. Initial damage markedly reduced load-bearing capacity. Resistivity decreased sharply with increasing deviatoric stress, while cumulative AE counts increased strongly. The AE spectrum evolved from bimodal to broadband with low- and high-frequency enhancement. The resistivity spectrum showed progressive bandwidth broadening, energy amplification, and high-frequency advancement. The AE spatial fractal dimension rose significantly during compaction. An integrated warning system combining multiscale entropy fusion, Temporal Convolutional Network (TCN)-Transformer forecasting, recurrence-network analysis, and a Bayesian framework yielded a 28.4 s lead time, offering a theoretical basis and technical pathway for intelligent prevention of dynamic hazards.
Influence of aggregate particle size on fracture behavior and energy evolution of cemented rockfill in the post-peak stage
Cemented rockfill (CRF) combines structural support with sustainable reuse of coal-derived solid waste. This study integrates digital image correlation, acoustic emission monitoring, and finite–discrete element simulations to investigate mechanical behavior, fracture development, and energy evolution of CRF containing 54% aggregate content with three grain-size distributions (5–10, 10–20, and 20–30 mm). Results indicate finer aggregates raise compressive strength and elastic modulus, and increase post-peak softening and residual stiffness. Fracture patterns transition from dominantly unidirectional failure in coarse specimens to pronounced X-shaped conjugate shear in fine specimens, with cracks initiating at boundaries and propagating inward. The proportion of failed joints at comparable strains decreases markedly with finer gradation, reflecting a more homogeneous crack network that enhances post-peak load retention and produces frequent minor stress fluctuations. Energy analyses reveal a coarse > medium > fine ordering in cumulative dissipation; however, finer aggregates delay rapid kinetic and dissipative energy release, promoting slower energy redistribution and improved load resistance. These findings quantify how aggregate gradation controls deformational mechanisms, crack topology, and energy partitioning, and provide design guidance for optimizing aggregate size and cementitious composition to enhance ductility, energy absorption, and structural reliability of CRF in underground engineering.