Site layout optimization for caisson structure fabrication

Changyoon Kim, Taeil Park, Sung Mo Ahn, Hyoungkwan Kim

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
DOIs
Publication statusPublished - 2012
Event29th International Symposium of Automation and Robotics in Construction, ISARC 2012 - Eindhoven, Netherlands
Duration: 2012 Jun 262012 Jun 29

Conference

Conference29th International Symposium of Automation and Robotics in Construction, ISARC 2012
Country/TerritoryNetherlands
CityEindhoven
Period12/6/2612/6/29

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Modelling and Simulation

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