铁路工程预制梁场布局优化评价方法

Optimization Evaluation Method for Layout of Prefabricated Beam Yard in Railway Engineering

  • 摘要: 预制梁场规划需统筹功能性与可持续性,在保障箱梁预制、存储及转运全流程作业需求的同时,兼顾生产效能与生态环保要求。布局设计应遵循集约用地、绿色施工原则,通过系统优化生产动线与功能分区,实现作业效率提升与管理成本管控的双重目标。在场地规划阶段,箱梁存储区域的配置方案直接影响整体运营效率,需采用量化分析方法优化堆存布局,确保梁体存储有序性、存取便捷性及空间利用率的最大化。本文基于工程实践需求,构建了包含资源闲置率、物流成本总和、生产周期时长三个关键维度的评价体系,通过现场勘测与数据建模相结合的方式,对梁场布局方案开展精细化评估。该体系可精准量化不同方案间的效率差异,为规划决策提供科学依据。经实证检验,优化后的布局方案在提升场地周转效率、降低二次搬运能耗、缩短存梁周期等方面表现出显著优势,为同类工程提供了可复制的优化策略与实施路径。

     

    Abstract: The planning of prefabricated beam yards needs to balance functionality and sustainability, while ensuring the full process of box beam prefabrication, storage, and transportation, while also considering production efficiency and ecological environmental protection requirements. Layout design should follow the principles of intensive land use and green construction, and achieve the dual goals of improving operational efficiency and managing costs through system optimization of production lines and functional zoning. In the site planning stage, the configuration scheme of the box girder storage area directly affects the overall operational efficiency, and quantitative analysis methods need to be used to optimize the storage layout, ensuring the orderliness of beam storage, convenient access, and maximizing space utilization. This article is based on engineering practice requirements and constructs an evaluation system that includes three key dimensions: resource idle rate, total logistics cost, and production cycle duration. Through a combination of on-site survey and data modeling, a refined evaluation of the beam yard layout plan is carried out. This system can accurately quantify the efficiency differences between different schemes, providing a scientific basis for planning and decision-making. Through empirical testing, the optimized layout scheme has shown significant advantages in improving site turnover efficiency, reducing secondary transportation energy consumption, and shortening beam storage cycles, providing replicable optimization strategies and implementation paths for similar projects.

     

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