基于综合粒子群算法的黄土削方边坡设计优化及应用OA

The slope ratio method is an artificial slope design approach that controls slope height and gradient while achieving stability without requiring comprehensive reinforcement for the entire slope.In soil slope designs where cut slope conditions exist,this method is often prioritized as a preferred design solution due to its safety,cost-effectiveness,and construction convenience,and it is widely applied in the loess regions of northern Shaanxi.By introducing swarm intelligence algorithms into loess cut slope design,this study rationally selects design variables,constraint functions,and objective functions to establish a mathematical optimization model for loess cut slope design.Based on this,a comprehensive particle swarm optimization algorithm is employed to achieve global optimization of the design solutions,thereby constructing a loess cut slope optimization model integrated with the comprehensive particle swarm algorithm.Taking a slope design project in Yan'an as an example,optimization calculation software was developed to implement the optimal design solution.Through comparative analysis of engineering cases,the computational accuracy of the proposed method is validated,demonstrating its effectiveness and significant potential for practical engineering applications.