1887
Volume 2023, Issue 2
  • EISSN: 2223-506X

Abstract

As a result of the rising costs of housing in Kuwait, several families find it increasingly challenging to purchase new homes. Typically, Kuwaitis carry out extensions of the existing housing spaces they possess, to accommodate their growing families. In the management and execution of house extension projects, construction planning and scheduling are complex albeit critical tasks. Building information modeling (BIM) and optimization techniques have become crucial tools for improving these two critical processes. This study aimed to integrate 4D BIM and multi- objective optimization using a genetic algorithm (MOGA) for construction planning and scheduling of a precast house extension. A case study was undertaken for a two-storey family house in Kuwait, which has been extended by two additional floors using the precast method. The extension of the house has its own foundation and support, with a design that adheres to Le Corbusier's five points of architecture. The Autodesk Revit software was used to generate a three-dimensional architectural model of the house extension. After running the MOGA based on the developed schedule, optimal results were obtained as a Pareto front with 70 combinations across workers' cost and construction time. The preferred schedule was selected and fed into Autodesk Navisworks to generate a 4D BIM model. Navisworks was used to simulate the house extension, accompanied by its scheduling information. The amalgamation of a multi-objective algorithm with 4D BIM may be employed to efficaciously plan and schedule building projects, allowing for quality decision-making.

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2023-01-01
2024-07-24
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  • Article Type: Research Article
Keyword(s): 4D BIMhouse extensionmulti-objective genetic algorithmprecast and simulation
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