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    Constraint-aware interior layout exploration for pre-cast concrete-based buildings

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    Type
    Article
    Authors
    Liu, Han cc
    Yang, Yongliang
    AlHalawani, Sawsan cc
    Mitra, Niloy J. cc
    KAUST Department
    Visual Computing Center (VCC)
    Computer Science Program
    Date
    2013-05-03
    Online Publication Date
    2013-05-03
    Print Publication Date
    2013-06
    Permanent link to this record
    http://hdl.handle.net/10754/564720
    
    Metadata
    Show full item record
    Abstract
    Creating desirable layouts of building interiors is a complex task as designers have to manually adhere to various local and global considerations arising from competing practical and design considerations. In this work, we present an interactive design tool to create desirable floorplans by computationally conforming to such design constraints. Specifically, we support three types of constraints: (i) functional constraints such as number of rooms, connectivity among the rooms, target room areas, etc.; (ii) design considerations such as user modifications and preferences, and (iii) fabrication constraints such as cost and convenience of manufacturing. Based on user specifications, our system automatically generates multiple floor layouts with associated 3D geometry that all satisfy the design specifications and constraints, thus exposing only the desirable family of interior layouts to the user. In this work, we focus on pre-cast concrete-based constructions, which lead to interesting discrete and continuous optimization possibilities. We test our framework on a range of complex real-world specifications and demonstrate the control and expressiveness of the exposed design space relieving the users of the task of manually adhering to non-local functional and fabrication constraints. © 2013 Springer-Verlag Berlin Heidelberg.
    Citation
    Liu, H., Yang, Y.-L., AlHalawani, S., & Mitra, N. J. (2013). Constraint-aware interior layout exploration for pre-cast concrete-based buildings. The Visual Computer, 29(6-8), 663–673. doi:10.1007/s00371-013-0825-1
    Publisher
    Springer Nature
    Journal
    The Visual Computer
    DOI
    10.1007/s00371-013-0825-1
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00371-013-0825-1
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC)

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