SinoTechIntel Academic Portal
Open AccessDOI: 10.1016/j.ijmst.2025.10.001Original Research

Experimental investigation on failure mode and fracture characteristic of rock samples induced by laser irradiation

Dongxu Yu¹,Yijiang Wang¹,Shuchen Li¹,Zongheng Jiang¹,Jianzhou Wang¹

China University of Mining and Technology

Read Executive PreviewQuick FAQ
Experimental investigation on failure mode and fracture characteristic of rock samples induced by laser irradiation
Graphical Abstract / Figure
Published In
Academic Research Journal
Published:January 15, 2025Edition:Vol. 32, Issue 10 • pp. 100-112Citation:Dongxu Yu et al. (2025), Academic Research Journal
Impact FactorPeer-Reviewed Core
Sponsored Research Partner

Key Takeaways & Executive Findings

  • • Laser-induced fracturing of limestone, sandstone, and granite reveals distinct failure modes: tensile-shear composite in limestone, tensile in sandstone and granite. • Sandstone and granite exhibit lower acoustic emission peak energy due to melt dissipation, while larger specimens delay peak energy occurrence. • Fracture surface roughness (JRC and fractal dimension) is highest in sandstone, with asperity heights of 1–14 mm and slope angles up to 40°. • Granite shows the highest macropore proportion (~4.8%) post-irradiation, indicating significant porosity changes.
Sponsored Research Highlight

Abstract

For hard rock cracking induced by laser irradiation, the failure modes and fracture characteristics among rocks of different types and sizes are still unclear. Therefore, the experiments on laser-induced fracturing of limestone, sandstone, and various-sized granite specimens were conducted. Real-time acoustic emission monitoring and laser scanning were employed to capture acoustic emission signals inside rocks during laser irradiation and to reconstruct the fracture surfaces after laser irradiation. Results indicate that abundant melts in sandstone and granite dissipated laser energy, leading to lower acoustic emission peak energy compared to limestone. Larger-sized specimen delayed the occurrence of peak energy. Crystal thermal expansion and changes in pore pressure induced tensile-shear composite failure in limestone, whereas thermal expansion of minerals in sandstone and granite promoted tensile failure. Fracture surface morphology was influenced by sampling interval, anisotropy, and size effects. The joint roughness coefficient and fractal dimension of sandstone exceed granite and limestone. Asperity heights and slope angles ranged from 1–14 mm and 0–40°, respectively, with the average aspect angles exceeding 110°. Granite exhibited the highest proportion of macropores after laser irradiation, approximately 4.8%. These findings provide valuable insights for the application of laser-assisted fracturing in hard rock excavation.

1. Introduction

Tunnel boring machines (TBMs) serve as the primary mechanism for hard rock excavation during tunneling. However, when dealing with high-strength rock masses, TBMs encounter significant challenges, including elevated specific energy requirements, diminished advance rates, pronounced cutter wear, and construction delays. These issues not only escalate operational costs but also heighten project risks [1]. For example, in the Floskefonn Tunnel (Norway), rock exhibiting a compressive strength of 270 MPa decelerated the TBM’s advance rate to a mere 0.5 m/h [2]. Similarly, in the Qinling Water Diversion Tunnel (China), rocks with a compressive strength reaching up to 325 MPa curtailed advance rates to 1.2 m/h, resulting in monthly progress of less than 170 m [3]. Analogous challenges have been documented in India, South Africa, and Turkey [2]. Consequently, tunneling through such exceptionally hard rock formations presents a formidable global challenge in the realm of deep underground engineering. There is an imperative need to innovate rock fragmentation technologies tailored for these demanding formations.

The development of advanced rock-breaking methodologies is critical for overcoming issues including low advance rates, accelerated cutter wear, and high costs in high-rock excavation [4]. Numerous innovative rock-breaking technologies are under extensive investigation, including microwave, water-jet, and laser [3]. Among these, laser fracturing technology is perceived as a promising alternative due to its non-contact method and environmentally friendly advantages [5]. This technology converts electrical energy into thermal energy, which is then concentrated on the rock surface. This generates intense thermal effects, inducing the weakening, fragmentation, melting, and gasification of rock minerals. These processes generate new free surfaces that reduce their fragmentation resistance. Studies have demonstrated

SinoTechIntel Interactive Document Reader
Page 1–5 of Preview
100%
Download Full PDF

Loading authentic research manuscript (Pages 1–5)...

Sponsored Research Partner
Cite This Research Paper
Dongxu Yu, Yijiang Wang, Shuchen Li, Zongheng Jiang, Jianzhou Wang (2025). Experimental investigation on failure mode and fracture characteristic of rock samples induced by laser irradiation. SinoTechIntel Verified Research. https://doi.org/10.1016/j.ijmst.2025.10.001
SinoTechIntel Academic & Legal Disclaimer

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 are the main failure modes of rocks under laser irradiation?

Limestone exhibits tensile-shear composite failure due to crystal thermal expansion and pore pressure changes, while sandstone and granite primarily undergo tensile failure from mineral thermal expansion.

How does rock type affect acoustic emission during laser irradiation?

Sandstone and granite produce lower acoustic emission peak energy compared to limestone because abundant melts dissipate laser energy.

What is the effect of specimen size on laser-induced fracturing?

Larger specimens delay the occurrence of peak acoustic emission energy, indicating size effects on fracture dynamics.

Which rock type shows the highest fracture surface roughness after laser irradiation?

Sandstone exhibits the highest joint roughness coefficient and fractal dimension, with asperity heights ranging from 1–14 mm and slope angles up to 40°.

How does laser irradiation affect pore distribution in rocks?

Granite shows the highest proportion of macropores after laser irradiation, approximately 4.8%, indicating significant porosity changes.

Recommended Scientific Literature & Research Partners

Related Technical Papers & Translations

Research Paper
A Novel Approach for Enhanced Brain Tumor Segmentation Using Multimodal MRI and Deep Learning

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.

Read Abstract & PDF
Research Paper
Investigation of coupled acoustic and electrical responses and early warning approaches during re-loading of damaged coal

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.

Read Abstract & PDF
Research Paper
Influence of aggregate particle size on fracture behavior and energy evolution of cemented rockfill in the post-peak stage

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.

Read Abstract & PDF