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3D-Modeling for Crane Selection and Logistics for Modular Construction On-Site Assembly
Adequate crane position on construction site required large amount of site data to be collected, prior to any lift operation. Existed permanent/ non-permanent obstructions as well as objects being placed on their final position, must be considered for each lift. This paper presents a methodology for crane selection and on-site utilization evolutionary algorithm for multi-lifts for modular construction. The proposed methodology accounts for cranes capacity limitation as well as evaluates the crane carrier/body position and orientation. State-of-the-art methodology incorporate evolutionary algorithm that reacts to dynamic changing site conditions. This paper introduces a case study where the objectives were to simplify and optimize the field assembly operation for 5- three-storey dormitory buildings including bridges and large roofs in McGregor Village for Muhlenberg College in Allentown, Pennsylvania, USA. Each dormitory contains three types of modules and a total of 18 separate modular units. Fully habitable elements were delivered securely on flatbed trailers to the site in advance. An all-terrain mobile hydraulic crane placed in the center of construction site lift each module and placed like a puzzle floor by floor for each building at predefined position. All 100 lifts were conducted in only 10 working days.
3D-Modeling for Crane Selection and Logistics for Modular Construction On-Site Assembly
Adequate crane position on construction site required large amount of site data to be collected, prior to any lift operation. Existed permanent/ non-permanent obstructions as well as objects being placed on their final position, must be considered for each lift. This paper presents a methodology for crane selection and on-site utilization evolutionary algorithm for multi-lifts for modular construction. The proposed methodology accounts for cranes capacity limitation as well as evaluates the crane carrier/body position and orientation. State-of-the-art methodology incorporate evolutionary algorithm that reacts to dynamic changing site conditions. This paper introduces a case study where the objectives were to simplify and optimize the field assembly operation for 5- three-storey dormitory buildings including bridges and large roofs in McGregor Village for Muhlenberg College in Allentown, Pennsylvania, USA. Each dormitory contains three types of modules and a total of 18 separate modular units. Fully habitable elements were delivered securely on flatbed trailers to the site in advance. An all-terrain mobile hydraulic crane placed in the center of construction site lift each module and placed like a puzzle floor by floor for each building at predefined position. All 100 lifts were conducted in only 10 working days.
3D-Modeling for Crane Selection and Logistics for Modular Construction On-Site Assembly
Olearczyk, J. (author) / Al-Hussein, M. (author) / Bouferguene, A. (author) / Telyas, A. (author)
International Conference on Computing in Civil Engineering ; 2012 ; Clearwater Beach, Florida, United States
Computing in Civil Engineering (2012) ; 445-452
2012-06-11
Conference paper
Electronic Resource
English
Construction sites , Construction equipment , Construction , Sustainable development , Three-dimensional models , Logistics , Decision making , Automation , Data processing , Construction industry , Cranes , Building information models , Information management , Computer applications , Decision support systems
3D-Modeling for Crane Selection and Logistics for Modular Construction On-Site Assembly
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