摘要
土石方调配是水电工程项目建设的关键环节,直接影响施工成本和效益。为优化调配方案并提高机械利用效率,提出了一种基于原始-对偶内点法与AnyLogic耦合的土石方调配道路运输系统优化方法。首先,以调配费用最小化为目标,综合考虑挖填进度、场地规划等约束条件,构建土石方动态调配模型;其次,针对水电工程复杂的道路运输条件,运用AnyLogic仿真平台基于排队论建立道路运输系统仿真模型,并采用原始-对偶内点法对土石方动态调配模型进行求解,以获得最优调配方案;在此基础上,将土石方动态调配模型与AnyLogic仿真模型进行耦合,通过多智能体仿真技术,模拟施工机械在运输过程中的动态交互,实现数据动态可视化反馈,从而动态调整机械配置方案,提高机械利用效率。将本文方法应用于具体工程实践,结果表明:该方法能有效降低土石方调配成本,使工程总费用降低7.3%;同时提高了机械协同作业效率,使供料区和受料区的综合上坝率分别提升至84.0%和86.7%;大部分反铲挖掘机利用率超过60.0%,自卸汽车利用率达到95.0%以上,为土石方调配方案决策提供了有力支持。
Earthwork allocation is crucial to hydropower project construction,posing a direct effect on its cost and efficiency.To optimize allocation strategies and machinery utilization efficiency,this study develops a new optimization method for improving earthwork allocation and road transportation systems based on the coupling of the primal-dual interior point method and AnyLogic.First,a dynamic earthwork allocation model is formulated to minimize allocation costs while considering constraints such as excavation and filling schedules and site planning.Then,we develop an AnyLogic-based road transportation system simulation model using queuing theory,focusing on the complicated road transportation conditions in hydropower projects.And the interior point method is adopted to solve the dynamic earthwork allocation model for an optimal allocation scheme.Finally,we couple these two models and apply a multi-agent simulation technique to simulate the dynamic interaction of construction machinery in transit,so that we can achieve visualization of the real-time data and feedback.This facilitates dynamic adjustment for machinery allocation,thereby improving machinery utilization efficiency.Application in a practical engineering case shows this method is effective in lowering earthwork allocation cost,achieving a project cost reduction by 7.3%.It also increases machinery coordination efficiency,achieving an increase of 84.0%and 86.7%in the comprehensive embankment placement rates of the supply and receiving zones respectively.By adopting the optimal allocation scheme,the machinery utilization rate exceeds 60.0%of most of the backhoe excavators,and 95.0%of the dump trucks.These studies are useful for decision-making in earthwork allocation planning.
作者
黄建文
赵婧珏
陈瑞
王兴霞
王宇峰
姜海龙
张建军
HUANG Jianwen;ZHAO Jingjue;CHEN Rui;WANG Xingxia;WANG Yufeng;JIANG Hailong;ZHANG Jianjun(Hubei Key Laboratory of Construction and Management in Hydropower Engineering,China Three Gorges University,Yichang 443002,China;College of Science and Technology,China Three Gorges University,Yichang 443002,China;College of Hydraulic and Environmental Engineering,China Three Gorges University,Yichang 443002,China;Chongqing Fengjie Pumped Storage Project Department,China Three Gorges Construction Engineering Corporation,Fengjie 404600,China;China Gezhouba Group No.1 Engineering Co.,Ltd.,Yichang 443000,China)
出处
《水力发电学报》
北大核心
2025年第11期66-80,共15页
Journal of Hydroelectric Engineering
基金
国家自然科学基金项目(52009069
51879147)。
