路基工程Issue(3)：7-12,6.DOI:10.13379/j.issn.1003-8825.202409074
基于综合粒子群算法的黄土削方边坡设计优化及应用
Optimization and Application of Loess Cut Slope Design Based on Comprehensive Particle Swarm Algorithm
摘要
Abstract
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.关键词
黄土地区/边坡设计/坡率法/方案比选/精度/安全性Key words
loess region/slope design/slope ratio method/scheme comparison/accuracy/safety分类
建筑与水利引用本文复制引用
程辉,刘畅,关启文,邓俊锋,韦欢,许锐..基于综合粒子群算法的黄土削方边坡设计优化及应用[J].路基工程,2026,(3):7-12,6.基金项目
国家自然科学基金资助项目(41572261) （41572261）
长庆油田黄土边坡治理设计关键技术研究项目(2023DJ0701) （2023DJ0701）
机械工业勘察设计研究院有限公司科技研发基金项目(11740903120220021) （11740903120220021）
中国电建集团西北勘测设计研究院有限公司2024年度重点科技项目(XBY-KJ-2024-55) （XBY-KJ-2024-55）
