A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Crane-lift path planning for high-rise modular integrated construction through metaheuristic optimization and virtual prototyping
Abstract Heavy crane lifting in high-rise modular integrated construction (MiC) is critical but challenging. The current crane-lift executions are heavily reliant on human judgment. Few studies on crane-lift path planning considered modular-specific characteristics such as installation of hefty modules. Therefore, this study aims to develop an automatic crane-lift path planning system to achieve safe and efficient module installation in high-rise MiC. The system involves an innovative metaheuristic algorithm for path optimization and a virtual prototyping-based platform for crane-lift simulation, and was validated using a real-life MiC project. The results reveal that the proposed algorithm that combines particle swarm optimization and simulated annealing is efficient in deriving a collision-free path, and outperforms other metaheuristics. The platform was demonstrated to be effective and informative in simulating various crane lifts. This study should facilitate safe and efficient delivery of high-rise modular buildings by contributing an intelligent algorithm and a virtual simulation platform.
Highlights An automatic crane-lift path planning system was developed for modular integrated construction (MiC). A hybrid PSO-SA metaheuristic was the first research attempt in MiC crane-lift path planning. A new fitness function was proposed considering MiC-specific features, e.g. self-rotation of modules. A BIM-based crane-lift simulation platform was developed for high-rise MiC. The path planning system was evaluated effective and efficient using a real-life MiC building project.
Crane-lift path planning for high-rise modular integrated construction through metaheuristic optimization and virtual prototyping
Abstract Heavy crane lifting in high-rise modular integrated construction (MiC) is critical but challenging. The current crane-lift executions are heavily reliant on human judgment. Few studies on crane-lift path planning considered modular-specific characteristics such as installation of hefty modules. Therefore, this study aims to develop an automatic crane-lift path planning system to achieve safe and efficient module installation in high-rise MiC. The system involves an innovative metaheuristic algorithm for path optimization and a virtual prototyping-based platform for crane-lift simulation, and was validated using a real-life MiC project. The results reveal that the proposed algorithm that combines particle swarm optimization and simulated annealing is efficient in deriving a collision-free path, and outperforms other metaheuristics. The platform was demonstrated to be effective and informative in simulating various crane lifts. This study should facilitate safe and efficient delivery of high-rise modular buildings by contributing an intelligent algorithm and a virtual simulation platform.
Highlights An automatic crane-lift path planning system was developed for modular integrated construction (MiC). A hybrid PSO-SA metaheuristic was the first research attempt in MiC crane-lift path planning. A new fitness function was proposed considering MiC-specific features, e.g. self-rotation of modules. A BIM-based crane-lift simulation platform was developed for high-rise MiC. The path planning system was evaluated effective and efficient using a real-life MiC building project.
Crane-lift path planning for high-rise modular integrated construction through metaheuristic optimization and virtual prototyping
Zhu, Aimin (author) / Zhang, Zhiqian (author) / Pan, Wei (author)
2022-06-13
Article (Journal)
Electronic Resource
English
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