Key Takeaways & Executive Findings
- •• Cyclic water intrusion progressively deteriorates all critical shear mechanical parameters of rock joints, including peak shear strength, shear stiffness, basic friction angle, and joint compressive strength. • A novel shear damage constitutive model coupling cyclic water intrusion and loading accurately predicts joint behavior, validated by experimental curve comparisons. • The model reveals a brittle-to-ductile transition in joint surface deformation with increasing water intrusion cycles, consistent with experimental observations. • Damage evolution under coupled water intrusion and loading follows an S-shaped trend with three stages: stabilization (water-dominated), development (load-dominated), and completion.
Abstract
Prolonged cyclic water intrusion has progressively developed joints in the hydro-fluctuation belt, elevating the instability risk of reservoir bank slopes. To investigate its impact on joint shear damage evolution, joint samples were prepared using three representative roughness curves and subjected to direct shear testing following cyclic water intrusion. A shear damage constitutive model considering the coupling effect of cyclic water intrusion and load was developed based on macroscopic phenomenological damage mechanics and micro-statistical theory. Results indicate: (1) All critical shear mechanical parameters (including peak shear strength, shear stiffness, basic friction angle, and joint compressive strength) exhibit progressive deterioration with increasing water intrusion cycles; (2) Model validation through experimental curve comparisons confirms its reliability. The model demonstrates that intensified water intrusion cycles reduce key mechanical indices, inducing a brittle-to-ductile transition in joint surface deformation — a behavior consistent with experimental observations; (3) Damage under cyclic water intrusion and load coupling follows an S-shaped trend, divided into stabilization (water-dominated stage), development (load-dominated stage), and completion stages. The research provides valuable insights for stability studies, such as similar model experiments for reservoir bank slopes and other water-related projects.
1. Introduction
To meet multifunctional operational requirements such as flood control, power generation, and water supply, reservoir water levels typically undergo periodic fluctuations. These recurrent hydrological changes induce progressive erosion of rock masses in the hydro-fluctuation zone [1,2]. During prolonged cyclic water intrusion, existing fractures propagate while new joints and cracks form, leading to deterioration of the rock mass's physical and mechanical properties in the hydro-fluctuation belt, potentially resulting in slope instability [3–5]. Given these effects, a systematic investigation of how cyclic water intrusion influences the shear damage evolution of joint surfaces becomes imperative for advancing the stability assessment and engineering design of reservoir slopes.
Current research extensively investigates rock damage evolution under water-load coupling effects, given its critical implications for geotechnical engineering. Scholars employ experimental and theoretical approaches to analyze hydro-mechanical interactions, damage accumulation mechanisms, and constitutive modelling, aiming to predict long-term stability in water-bearing rock masses [6,7]. Li et al. [8] performed uniaxial compression tests and constant-load creep tests on sandstone subjected to different wet-dry cycles, proposing a fractal derivative creep constitutive model. Based on energy theory, Jiang et al. [9] developed a damage constitutive model for sandstone accounting for water–rock interaction using microscopic testing under coupled water–rock conditions. Bian et al. [10] proposed a uniaxial load and water-weakening damage constitutive model by integrating the generalized strain equivalence principle and statistical microscopic damage mechanics theory. Fu et al. [11] identified the damage mechanisms of silty [text truncated]
Loading authentic research manuscript (Pages 1–5)...
Zhe Qin, Runchang Zhang, Ke Wang, Lixue Cao, Yushui Yan (2025). Shear damage constitutive model of rock-like joint surface considering the coupling effect of cyclic water intrusion and loading. SinoTechIntel Verified Research. https://doi.org/10.1016/j.ijmst.2025.05.001
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 the study?
The study aims to investigate the impact of cyclic water intrusion on the shear damage evolution of rock joints and to develop a constitutive model that accounts for the coupling effect of cyclic water intrusion and loading.
How were the joint samples prepared?
Joint samples were prepared using three representative roughness curves and subjected to direct shear testing after cyclic water intrusion.
What are the key findings regarding mechanical parameters?
All critical shear mechanical parameters, including peak shear strength, shear stiffness, basic friction angle, and joint compressive strength, progressively deteriorate with increasing water intrusion cycles.
How does the model perform in validation?
The model's reliability is confirmed through experimental curve comparisons, and it accurately captures the brittle-to-ductile transition in joint surface deformation with intensified water intrusion.
What is the damage evolution trend under coupled effects?
Damage under cyclic water intrusion and load coupling follows an S-shaped trend, divided into stabilization (water-dominated), development (load-dominated), and completion stages.
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.