Stability Evaluation Method for Rock Slope-Anchorage Systems Based on Genetic Algorithms and Discrete Element Analysis

With the increasing scale of infrastructure projects in sectors such as hydraulics and transportation, coupled with the widespread adoption of anchorage support technologies, numerous rock slope anchorage systems have been established. This study proposes a novel stability evaluation methodology for these systems, integrating genetic algorithms with discrete element analysis. The discrete element method is employed to obtain multi-field data related to the rock slope anchorage system, including slope displacement, pre-stress in anchorage structures, and displacement metrics. The genetic algorithm is utilized for efficient optimization, enabling the identification of numerical model parameters that best align with field monitoring data and actual engineering conditions. Based on the results from discrete element analysis, the proposed method assesses the dynamic variation of multi-field data within the rock slope anchorage system, facilitating a comprehensive stability evaluation. The findings indicate that (1) the proposed evaluation method effectively accounts for the interaction between the anchorage structure and the rock slope, ensuring accurate results; (2) the method leverages the discrete element numerical model to quantitatively assess deformation and stress distribution within the system; (3) the integration of genetic algorithms significantly enhances the efficiency of identifying the most representative numerical model, and thereby the efficiency of stability evaluation is improved; and (4) the evaluation framework is capable of performing dynamic analyses of the stability evolution throughout the entire operational lifecycle of the rock slope anchorage system.