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The concept of sustainable building has been widespread in the construction industry to reduce the environmental impacts from buildings. Considering the whole life cycle of a building, design stage is crucial in deciding whether a project will be successful. Therefore, this study will propose a strategy which can optimize the building design schemes to improve their sustainability and save cost over their lifetime with help of the cooperation between building information modeling (BIM) and multi-objective particle swarm optimization (MOPSO). Case study proves that this strategy is effective and efficient, which can largely reduce the designers’ workloads and improve the building performances.
The concept of sustainable building has been widespread in the construction industry to reduce the environmental impacts from buildings. Considering the whole life cycle of a building, design stage is crucial in deciding whether a project will be successful. Therefore, this study will propose a strategy which can optimize the building design schemes to improve their sustainability and save cost over their lifetime with help of the cooperation between building information modeling (BIM) and multi-objective particle swarm optimization (MOPSO). Case study proves that this strategy is effective and efficient, which can largely reduce the designers’ workloads and improve the building performances.
Sustainable Building Design Optimization Using Building Information Modeling
Liu, Sha (Autor:in)
ICCREM 2015 ; 2015 ; Luleå, Sweden
ICCREM 2015 ; 326-335
28.09.2015
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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