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Optimization of Earthmoving Operations in Heavy Civil Engineering Projects

机译:大型土木工程项目中土方作业的优化

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Large scale earthmoving operations require the use of heavy and costly construction equipment. Optimum utilization of equipment is a crucial task for the project management team. It can result in substantial savings in both time and cost of earthmoving operations. This paper presents optimization model for earthmoving operations in heavy civil engineering projects. The developed model is designed to assist general contractor in optimizing planning of earthmoving operations. The model utilizes genetic algorithm, linear programming, and geographic information systems to support its management functions. The model assists in planning earthmoving operations; taking into consideration: (1) availability of resources to contractors; (2) project budget and/or time constraints, if any; (3) scope of work; (4) construction site conditions; (5) soil type; (6) project indirect cost; and (7) equipment characteristics. The model also determines the quantities of earth to be moved from different borrow pits and those to be placed at different landfill sites to meet optimization objective set by the user and to meet project constraints. The model has been implemented in prototype software, using object-oriented programming. Two numerical example projects are presented to validate and demonstrate the use of the developed model in optimizing earthmoving operations.
机译:大规模的土方作业需要使用重型且昂贵的建筑设备。设备的最佳利用是项目管理团队的关键任务。它可以节省大量的土方作业时间和成本。本文提出了重型土木工程项目土方作业的优化模型。开发的模型旨在协助总承包商优化土方作业计划。该模型利用遗传算法,线性规划和地理信息系统来支持其管理功能。该模型有助于规划土方作业。考虑到:(1)承包商可获得的资源; (2)项目预算和/或时间限制(如果有); (三)工作范围; (四)施工现场条件; (5)土壤类型; (6)工程间接费用; (7)设备特点。该模型还确定了要从不同的取土场运出的土方量以及要放置在不同的垃圾填埋场中的土方量,以满足用户设定的优化目标并满足项目约束。该模型已使用面向对象编程在原型软件中实现。提出了两个数值示例项目,以验证和演示开发模型在优化土方工程中的使用。

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