Abstract
In this paper, we address the generation of realistic apartment complex layouts. We define this layout problem as finding the optimal locations and angles of the buildings within the site boundary according to the building codes, zoning regulations, and design preferences. In contrast to manual design heuristics, which are laborious and typically produce homogeneous solutions, our method focuses on efficient design exploration of realistic and varied alternatives. To avoid exploring the large design sub-spaces with solutions, we introduce a constraint solver based on rigid-body simulation. Based on the results of performance comparison in two experiments, (a) with and (b) without the constraint solver, we address a design problem with an actual site and realistic floor area ratio, building coverage, and height restrictions. We describe four different layouts of apartment complexes generated by our method with realistic site planning patterns and considerable efficiency improvements. Discussing the potential for developing design tools based on this method, we describe ongoing research on the generation of more scenarios and suggest the future exploration of a constraint solver.
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Rhee, J., Veloso, P. (2023). A Physics-Based Constraint Solver for the Site Layout Optimization of Non-convex Buildings with Multiple Requirements. In: Turrin, M., Andriotis, C., Rafiee, A. (eds) Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries. CAAD Futures 2023. Communications in Computer and Information Science, vol 1819. Springer, Cham. https://doi.org/10.1007/978-3-031-37189-9_39
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