Sustainability, Vol. 17, Pages 8408: Fracture Process in Conceptual Numerical Geological Rock Mass System Model and Its Implications for Landslide Monitoring and Early Warning


Sustainability, Vol. 17, Pages 8408: Fracture Process in Conceptual Numerical Geological Rock Mass System Model and Its Implications for Landslide Monitoring and Early Warning

Sustainability doi: 10.3390/su17188408

Authors:
Liming Tang
Xu Chen
Chao Huang
Chunan Tang

To determine whether rock landslides can be predicted early and accurately forecasted, a numerical simulation method is used. The geological rock mass system is simplified into 16 heterogeneous geological rock mass units. By subjecting this two-dimensional planar model to uniaxial compression loading, qualitative insights into the evolution of displacement, stress, and acoustic emission signals throughout the fracture process of the heterogeneous geological rock mass were obtained, leading to the following insights: (1) Before the fracture of the heterogeneous geological rock mass system model, a “differentiation” phenomenon occurred, characterized by varying magnitudes and directions of both displacement and stress increments, coupled with a sudden surge in the number of acoustic emission events and their clustering near macroscopic cracks. Such a phenomenon could serve as an early warning indicator for predicting rock landslides. (2) Although the phenomenon of “differentiation” has been observed, the lack of uniformity and regularity in these phenomena across different elements indicates that integrated monitoring methods such as displacement, stress, and acoustic monitoring are insufficient for the precise prediction of rock landslides. (3) Increasing the number and range of monitoring points, as well as diversifying and integrating monitoring methods, can significantly enhance the precision of rockslide early warning systems. The outcomes of this research provide a scientific tool and metric for quantifying precursory signals of slope instability, thereby contributing to the development of sustainable environmental monitoring frameworks and informed policymaking for disaster-resilient infrastructure in vulnerable regions.



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Liming Tang www.mdpi.com