Cross-Scale Cracks in Rock Mass Under Multi-Phase and Multi-Field Coupling

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 862

Special Issue Editor

Department of Civil and Environmental Engineering, Brunel University London, London UB8 3PH, UK
Interests: rock mechanics; computational geomechanics; geohazard prevention and mitigation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In geology, cross-scale cracks are essential for understanding the mechanical behavior of rocks. They affect the permeability and porosity of rocks and therefore influence fluid flow, such as groundwater movement and hydrocarbon reservoirs. Meanwhile, they play a crucial role in the fragmentation of rocks during natural processes like erosion, weathering, and faulting. In civil and mining engineering, knowledge of cross-scale cracks is vital for assessing the stability of rock masses in construction projects, tunnels, and mining operations. The presence of these cracks can significantly impact the strength and deformation characteristics of rocks, which can have safety and economic implications. Cross-scale cracks in rocks often interact with various environmental factors, including the presence of different phases (such as air, water, and minerals) and multiple physical fields (such as stress, temperature, and humidity). Understanding how these cracks respond to multi-phase and multi-field coupling actions is important for predicting rock behavior under diverse conditions. In recent years, many scientists and engineers have used various techniques to study cross-scale cracks in rocks, including imaging methods like scanning electron microscopy (SEM), X-ray computed tomography (CT), and acoustic emission monitoring. These tools allow researchers to observe and analyze the characteristics of cracks at different scales.

This Special Issue aims to gather cutting-edge research and recent advances concerning the formation and evolution of cross-scale cracks within rock masses, and to promote their practical implications in fields like geotechnical engineering, reservoir engineering, and hazard assessment. Both original research papers and review articles are welcome.

Dr. Bin Gong
Guest Editor

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Keywords

  • fractured rock mass
  • discrete fracture network
  • hydraulic fracturing
  • freeze–thaw cycle
  • thermal cracking
  • hydrocarbon reservoir
  • physical experiment
  • numerical simulation
  • in situ monitoring

Published Papers (1 paper)

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Research

19 pages, 6181 KiB  
Article
Instability Risk Assessment for Deep Excavation of Soil–Rock Combinations Containing Groundwater
by Liwei Zhang, Weiguo Zhang, Zaiquan Wang, Sijia Liu and Kai Liu
Appl. Sci. 2023, 13(23), 12887; https://doi.org/10.3390/app132312887 - 30 Nov 2023
Viewed by 574
Abstract
Dynamic risk assessment is a pivotal tool for enhancing construction safety and minimizing the potential for partial failure during deep and extensive excavation projects. To enhance the efficacy of dynamic risk assessment in deep excavation, this study introduces a novel risk assessment model [...] Read more.
Dynamic risk assessment is a pivotal tool for enhancing construction safety and minimizing the potential for partial failure during deep and extensive excavation projects. To enhance the efficacy of dynamic risk assessment in deep excavation, this study introduces a novel risk assessment model designed to evaluate instability risk in extensive excavations. It comprises a risk factor selection model for identifying the most pertinent factors and an instability risk assessment model for gauging the extent of instability risk throughout the construction process. Then, the model was deployed in the construction of Anshan Road Station of the Qingdao Metro. To pinpoint the factors with the most pronounced impact on excavation instability, a risk factor selection model was employed, yielding a comprehensive risk evaluation index system. For real-time assessment of risk, the monitoring data were used as the primary source of evidence. A comprehensive comparative analysis involving actual data and predictions from conventional RBF and back propagation neural networks was performed. The outcome of this analysis underscored the superior accuracy and predictive capabilities of the assessment model. The instability risk assessment model offers the ability to dynamically evaluate the instability risk associated with extensive excavations featuring a combination of soil and rock. It can serve as a valuable methodological tool, furnishing essential support for the systematic prevention and mitigation of excavation instability disasters. Full article
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