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    Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach

    Ma W 2024 Public.pdf (7.882Mb)
    Access Status
    Open access
    Authors
    Ma, Wei
    Date
    2024
    Supervisor
    Xiangyu Wang
    Yongze Song
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Humanities
    School
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/97644
    Collection
    • Curtin Theses
    Abstract

    The research develops and validates an innovative AI-aided approach integrating generative design (GD) with building information modelling (BIM) to generate integral and compliant energy-efficient residential façade designs automatically and efficiently. Guided by Pragmatism and structured by Design Research Methodology (DRM), the study addresses four objectives across four publications. The research advances AI-aided, energy-efficient building design, and the GD-BIM approach enhances design efficiency, supporting sustainable practices in architecture.

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