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Site layout optimization for caisson structure fabrication

机译:沉箱结构制造的现场布局优化

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Purpose As the volume of international trade increased, the needs for large concrete caisson breakwaters, which can accommodate the bigger vessels, increased accordingly. However, due to the size of the caissons, the constructions of large-scale maritime infrastructures often face challenges about how to manage the construction site, improve the construction processes, and enhance productivity. Method: This paper presents a methodology to optimize the caisson structure fabrication process by controlling the locations of construction equipment and prefabrication facilities using genetic algorithm (GA), coupled with the functions of a Delmia-platform. First, a virtual construction site layout is established with a set of required facilities and equipment on the Delmia-platform based on the spatial information of the construction site. Site layout constraints and requirements are then determined to properly reflect the nature and conditions of the projects. Lastly, a genetic algorithm is employed to find out the optimal construction site layout for the construction processes. Results & Discussion: The proposed GA-based methodology is expected to assist construction engineers in determining optimized construction site layout for caisson structure prefabrication in the early project phase and further identifying the potential risks of projects.
机译:目的随着国际贸易量的增加,对于大型混凝土沉箱防波堤的需求,可以容纳更大的船只,相应增加。然而,由于沉箱的大小,大型海上基础设施的结构通常面临挑战如何管理施工现场,改善施工过程,提高生产力。方法:本文介绍了一种方法来通过控制遗传算法(GA)控制施工设备和预制设施的位置来优化沉箱结构制造工艺,耦合与Delmia平台的功能。首先,基于施工现场的空间信息,在Delmia平台上建立了虚拟施工现场布局。然后确定站点布局限制和要求以正确反映项目的性质和条件。最后,采用遗传算法来找出施工过程的最佳施工现场布局。结果和讨论:本文提出的基于GA-方法有望帮助建筑工程师确定沉箱预制结构优化施工现场布局早期项目阶段,进一步确定项目的潜在风险。

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