摘要
以水利水电工程基建期土石方填挖匹配及运输路径规划为研究对象,采用运筹学动态规划方法,将土石方调配过程按时间进程划分为若干个关联阶段,以供料源与受料源之间的士石方调配量为控制变量,建立状态转移方程;进一步引入施工进度优先级匹配因素,以施工全过程中土石方总调配费用最小化为目标函数,在考虑供料源、受料源、土石方转换、上坝损失率等多边界约束影响的基础上,构建土石方动态调配数学模型,并基于蚁群算法对模型进行多阶段优化求解。最后针对实际工程项目案例,采用所构建的基于蚁群算法的土石方动态优化调配模型给出土石方调配优化建议方案。研究结果表明,采用所构建的模型求解出的土石方调配优化方案能够有效提高直接上坝率、减少二次调运、降低工程造价,可为类似工程提供重要的理论支持和实践指导。
The study focuses on the matching of earthwork excavation and fill and the planning of transportation routes during the construction phase of water conservancy and hydropower projects.Using the dynamic programming method of operational research,the earthwork allocation process is divided into several interrelated stages according to the timeline,and the state transition equation is established with the earthwork transfer volumes between supply and demand sources as control variables.Furthermore,a prioritization factor for construction progress is introduced,with the minimum total allocation cost of earthwork in the whole construction process as the objective function.This mathematical model for dynamic earthwork allocation is constructed on the basis of considering the influence of multiple boundary constraints,including supply sources,demand sources,earthwork conversion,and dam placement loss rates.The model is then optimized in multiple stages using the ant colony algorithm.Finally,for an actual project case,the optimization scheme of earthwork allocation is given by using the developed dynamic optimization allocation model of earthwork based on ant colony algorithm.The research results indicate that the optimized scheme obtained from this model can effectively increase the direct dam placement rate,reduce secondary transportation,and reduce construction cost,which can provide important theoretical support and practical guidance for similar projects.
作者
李昂
李元
姚博文
李云龙
蒋柳鹏
LI Ang;LI Yuan;YAO Bowen;LI Yunlong;JIANG Liupeng(College of Harbour Coastal and Offshore Engineering,Hohai University,Nanjing 210098,China;Pumped-storage Technology and Economic Research Institute of State Grid Xinyuan Holding Co.Ltd.,Beijing 100032,China)
出处
《河南科学》
2025年第7期992-998,共7页
Henan Science
基金
国网新源集团(控股)有限公司科技项目(SGXYKJ-2023-056)。
关键词
水利水电工程
土石方调配
施工进度匹配
动态优化
蚁群算法
water conservancy and hydropower project
earthwork allocation
construction schedule matching
dynamic optimization
ant colony algorithm
