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초고층 건축공사의 작업원 양중운영을 위한 가설 리프트 공간구획 최적화 모델 개발
박문서,하성봉,이현수,김수영,Park, Moon-Seo,Ha, Sung-Bong,Lee, Hyun-Soo,Kim, Soo-Young 대한건축학회 2011 대한건축학회논문집 Vol.27 No.11
As the high-rise building projects are increasing, lifting management is a critical factor for construction productivity. Existing researches on lift management are mostly focused on developing optimum lift plans applicable to high-rise building. Meanwhile, it is difficult to estimate lifting traffic load due to influence of operational conditions on construction process. This research aims to reduce workers' transportation time in the morning using temporary vertical zoning of construction lift. To identify the lifting operation, this paper presents a model including three modules: passenger, zoning, optimization modules. First, each floor's population is calculated through a resource-driven schedule data. Then, the passenger module is involved in grouping of passengers for feasible crew work. Third, the zoning module generates the alternatives of zoning area where a certain lift is constrained to serve a designated set of floors(service floor). Finally, identification of optimal zoning area can be achieved with the optimization module using the genetic algorithm. An application of a diverse set of scenarios is demonstrated to compare zoning alternative using a complex traffic simulation. This proves that the proposed model has capabilities in optimizing zoning area and enhancing life efficiency.
초고층 건축공사의 작업원 양중운영을 위한 가설 리프트 공간구획 최적화 모델 개발
박문서(Park, Moon-Seo),하성봉(Ha, Sung-Bong),이현수(Lee, Hyun-Soo),김수영(Kim, Soo-Young) 대한건축학회 2011 大韓建築學會論文集 : 構造系 Vol.27 No.11
As the high-rise building projects are increasing, lifting management is a critical factor for construction productivity. Existing researches on lift management are mostly focused on developing optimum lift plans applicable to high-rise building. Meanwhile, it is difficult to estimate lifting traffic load due to influence of operational conditions on construction process. This research aims to reduce workers’ transportation time in the morning using temporary vertical zoning of construction lift. To identify the lifting operation, this paper presents a model including three modules: passenger, zoning, optimization modules. First, each floor’s population is calculated through a resource-driven schedule data. Then, the passenger module is involved in grouping of passengers for feasible crew work. Third, the zoning module generates the alternatives of zoning area where a certain lift is constrained to serve a designated set of floors(service floor). Finally, identification of optimal zoning area can be achieved with the optimization module using the genetic algorithm. An application of a diverse set of scenarios is demonstrated to compare zoning alternative using a complex traffic simulation. This proves that the proposed model has capabilities in optimizing zoning area and enhancing life efficiency.