Key Takeaways & Executive Findings
- •• Chemical corrosion significantly weakens the dynamic mechanical properties of coal-rock assemblages, with dynamic elastic modulus, deformation modulus, and peak intensity decreasing with immersion time. • The dynamic parameters exhibit an inverted U-shaped trend with varying pH conditions, indicating optimal corrosion effects at certain acidity or alkalinity levels. • Dynamic impact failure of acidly corroded samples progresses through six distinct stages, from initial elastic energy accumulation to complete instability, with failure modes including coal crushing, rock fragmenting, rock splitting, and full splitting. • A novel dynamic constitutive model based on Zhu-Wang-Tang nonlinear viscoelasticity was developed to account for combined chemical corrosion and impact damage, providing a systematic analysis of their coupled effects.
Abstract
To reveal the deterioration mechanism of coal-rock assemblages under chemical corrosion and dynamic loading, chemical corrosion and dynamic impact experiments were conducted. Under different chemical corrosion conditions, the weakening characteristics, observable characteristics, softening characteristics of the dynamic parameters, dynamic failure characteristics, dynamic failure forms and dynamic microscopic characteristics were analyzed. Under each corrosion condition, the dynamic elastic modulus, dynamic deformation modulus and dynamic peak intensity tended to decrease with immersing time. The dynamic elastic modulus, dynamic deformation modulus and dynamic peak intensity exhibited an inverted U-shaped trend. Under dynamic impact, the failure process of acidly corroded samples can be divided into the following stages: the initial stage, elastic energy accumulation stage, local failure of coal and secondary rock crack expansion stage, coal fragment ejection stage, rock spalling stage and complete instability stage. Under dynamic impact, failure modes exist: coal crushing failure, rock fragmenting failure, rock splitting failure and full splitting failure. After impact failure, sample fragments are distributed in powder, granular, cone and block forms. Based on Zhu-Wang-Tang nonlinear viscoelastic properties, a model considering chemical corrosion and impact damage was proposed. The combined effects of chemical and impact-induced damage on the dynamic mechanical properties of coal-rock assemblages were systematically analyzed.
1. Introduction
Coal and rock are natural minerals. The mechanical properties and failure mechanism of these materials are closely related to the chemical corrosion environment [1]. With infrastructure development, geotechnical engineering, tunneling engineering, water conservancy engineering and deep mining engineering are experiencing the impact of acid-alkaline environment corrosion caused by complex hydrological conditions [2]. Water contains complex chemical ions with different pH. It is important in determining the deformation and failure process of coal and rock. Moreover, the pH of water is affected by various factors. The pH can be different in different regions [3]. Changes in pH intensify water–rock deterioration. This can lead to a significant decrease in rock strength [4]. Owing to the coupling of chemistry and mechanics, water-rock interactions greatly affect the structural stability of strata [5,6]. The interaction between chemical solutions and rock can cause geotechnical disasters such as landslides, dam foundation deformation, tunnel instability and collapse [7–9].
To study the effects of chemical solutions on the mechanical properties of coal and rock, various experiments have been conducted, and remarkable results have been achieved. A previous study revealed that chemical solution interactions with coal and rock cause internal structure deterioration, weakening the load-bearing performance of coal and rock [10,11]. Huang et al. [12] reported that the deterioration effect of chemical solutions on rocks is due mainly to their ability to promote particle spalling and surface crack formation. Mei et al. [13] conducted electron microscope scanning experiments on rocks immersed in hydrochloric acid solution. Rocks treated with hydrochloric acid showed significant surface alterations, indicating the corrosive impact of acidic environments.
Loading authentic research manuscript (Pages 1–5)...
Jianhang Chen, Banquan Zeng, Wuyan Xu, Kun Wang, Peng Liu, Songsong Hu, Shiji Wang, Zhixiang Song, Shaokang Wu, Xuyang Bai (2025). Deterioration mechanism and dynamic constitutive model of coal-rock assemblages considering chemical corrosion and impact damage. SinoTechIntel Verified Research. https://doi.org/10.1016/j.ijmst.2025.04.006
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 focus of the study on coal-rock assemblages?
The study investigates the deterioration mechanism of coal-rock assemblages under chemical corrosion and dynamic loading, analyzing the weakening of dynamic mechanical properties and proposing a constitutive model that accounts for combined chemical and impact damage.
How does chemical corrosion affect the dynamic properties of coal-rock assemblages?
Chemical corrosion leads to a decrease in dynamic elastic modulus, dynamic deformation modulus, and dynamic peak intensity with increasing immersion time. The dynamic parameters exhibit an inverted U-shaped trend with varying pH, indicating that both acidic and alkaline conditions can cause significant deterioration.
What are the typical failure modes observed under dynamic impact?
Under dynamic impact, failure modes include coal crushing failure, rock fragmenting failure, rock splitting failure, and full splitting failure. The failure process is characterized by stages such as elastic energy accumulation, local failure, coal fragment ejection, rock spalling, and complete instability.
What is the significance of the proposed dynamic constitutive model?
The model, based on Zhu-Wang-Tang nonlinear viscoelastic properties, incorporates the effects of chemical corrosion and impact damage, providing a systematic framework to predict the dynamic mechanical behavior of coal-rock assemblages under coupled chemical and mechanical loading.
How can the findings be applied in engineering practice?
The findings help in understanding the stability of coal-rock structures in acidic or alkaline environments, which is crucial for designing safe and sustainable mining, tunneling, and geotechnical engineering projects. The constitutive model can be used for numerical simulations to predict failure and optimize support systems.
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.