SinoTechIntel Academic Portal
Open AccessDOI: 10.1016/j.ijmst.2025.08.001Original Research

Fracturing mechanism of pre-damaged granite induced by multi-source dynamic disturbances in tunnels

Biao Wang¹,Benguo He¹,Xiating Feng¹,Hongpu Li¹

State Key Laboratory of Intelligent Deep Metal Mining and Equipment, Northeastern University, Shenyang 110819, China

Read Executive PreviewQuick FAQ
Fracturing mechanism of pre-damaged granite induced by multi-source dynamic disturbances in tunnels
Graphical Abstract / Figure
Published In
Academic Research Journal
Published:January 15, 2025Edition:Vol. 32, Issue 8 • pp. 100-112Citation:Biao Wang et al. (2025), Academic Research Journal
Impact FactorPeer-Reviewed Core
Sponsored Research Partner

Key Takeaways & Executive Findings

  • • Multi-source dynamic disturbances and unloading damage synergistically accelerate strength degradation in pre-damaged granite, with reductions up to 16.7%. • Shear-slip failure preferentially occurs along blast-induced fractures, and layered failure on free surfaces indicates disturbance-induced fracture localization. • Critical precursor frequency bands (105–150, 185–225, 300–325 kHz) serve as diagnostic signatures for impending rockburst. • A grouting-based wave-absorption strategy effectively mitigates deep dynamic disasters by attenuating disturbance amplitude and reducing excitation frequency.
Sponsored Research Highlight

Abstract

To elucidate the fracturing mechanism of deep hard rock under complex disturbance environments, this study investigates the dynamic failure behavior of pre-damaged granite subjected to multi-source dynamic disturbances. Blasting vibration monitoring was conducted in a deep-buried drill-and-blast tunnel to characterize in-situ dynamic loading conditions. Subsequently, true triaxial compression tests incorporating multi-source disturbances were performed using a self-developed wide-low-frequency true triaxial system to simulate disturbance accumulation and damage evolution in granite. The results demonstrate that combined dynamic disturbances and unloading damage significantly accelerate strength degradation and trigger shear-slip failure along preferentially oriented blast-induced fractures, with strength reductions up to 16.7%. Layered failure was observed on the free surface of pre-damaged granite under biaxial loading, indicating a disturbance-induced fracture localization mechanism. Time–stress–fracture–energy coupling fields were constructed to reveal the spatiotemporal characteristics of fracture evolution. Critical precursor frequency bands (105–150, 185–225, and 300–325 kHz) were identified, which serve as diagnostic signatures of impending failure. A dynamic instability mechanism driven by multi-source disturbance superposition and pre-damage evolution was established. Furthermore, a grouting-based wave-absorption control strategy was proposed to mitigate deep dynamic disasters by attenuating disturbance amplitude and reducing excitation frequency.

1. Introduction

The stability of rock masses is critical to ensure safety during both construction and service periods of deep-buried tunnels. Rockburst is defined as a dynamic rock mass disaster and is recognized as a sudden failure phenomenon caused by the release of internal energy [1]. Time-delayed rockburst, characterized by its prolonged incubation period and difficulty in monitoring, is regarded as a severe challenge to the safe operation of deep-buried tunnels [2]. The catastrophic mechanism of excavation-induced rock mass failure triggered by multi-source dynamic disturbances under high in-situ stress in deep environments remains to be fully clarified [3].

Stress-induced failure of surrounding rock is widely recognized as a critical factor affecting the safety of deep drill-and-blast tunnel excavation [4–6]. The use of blasting as an excavation method creates a larger excavation-induced damage zone compared to tunnels constructed using the TBM method, leading to varying levels of damage within the stress adjustment zone of the surrounding rock [7]. Researchers have identified several key factors contributing to the brittle failure of surrounding rock, including rock mass properties (e.g., rock strength, joints, or faults), in-situ stress conditions (magnitude and orientation), and excavation parameters [8]. Brittle failure in deep tunnels is primarily caused by stress concentrations exceeding rock strength, while external dynamic disturbances such as TBM excavation and blasting further weaken already stressed rock, accelerating damage and degradation [9,10]. Previous studies have often underestimated the changes in mechanical properties of surrounding rock under weak excavation-induced disturbance. Notably, multi-source dynamic disturbances are capable of accelerating failure in surrounding rock subjected to tangential stress concentrations.

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
Biao Wang, Benguo He, Xiating Feng, Hongpu Li (2025). Fracturing mechanism of pre-damaged granite induced by multi-source dynamic disturbances in tunnels. SinoTechIntel Verified Research. https://doi.org/10.1016/j.ijmst.2025.08.001
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 is the main objective of this study?

The study aims to elucidate the fracturing mechanism of deep hard rock under complex disturbance environments by investigating the dynamic failure behavior of pre-damaged granite subjected to multi-source dynamic disturbances.

How were the multi-source dynamic disturbances simulated in the laboratory?

True triaxial compression tests incorporating multi-source disturbances were performed using a self-developed wide-low-frequency true triaxial system to simulate disturbance accumulation and damage evolution in granite.

What are the critical precursor frequency bands for impending failure?

The critical precursor frequency bands identified are 105–150 kHz, 185–225 kHz, and 300–325 kHz, which serve as diagnostic signatures of impending failure.

What control strategy was proposed to mitigate deep dynamic disasters?

A grouting-based wave-absorption control strategy was proposed, which attenuates disturbance amplitude and reduces excitation frequency to mitigate deep dynamic disasters.

What is the significance of the strength reduction observed in the study?

The combined dynamic disturbances and unloading damage significantly accelerate strength degradation, with strength reductions up to 16.7%, highlighting the need to consider multi-source disturbances in deep tunnel design.

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