Publication | Open Access
Practical application of multi-material topology optimization to performance-based architectural design of an iconic building
33
Citations
27
References
2023
Year
EngineeringPerformance-based Building DesignMultidisciplinary Design OptimizationArchitectural EngineeringInnovative StructureStructural OptimizationBuilding DesignSocial SciencesStructural EngineeringArchitectural Design MethodsMaterials OptimizationPractical ApplicationDesignStructural DesignFaçadeTopology OptimizationArchitectural DesignPerformance-based Architectural DesignIconic BuildingConstruction ManagementStructural TopologyConstruction Engineering
With the rapid development of architectural design methods and structural analysis techniques, structural performance-based design approaches have become increasingly important in architectural design. Among these approaches, topology optimization is a significant design method. However, most existing topology optimization research and related applications are based on single-material topology optimization techniques, which have limitations when applied to the design of complex and challenging structures. Building upon our previously proposed multi-material bi-directional evolutionary structural optimization (multi-material BESO) method, this paper presents the approaches for achieving diverse and competitive structural designs and then presents a practical application of the multi-material BESO method to the structural design of the core structure of a long-cantilevered building project called “Xiong’an Wings”. After an evolutionary design process based on the multi-material BESO method, an efficient frame with lower overall material costs, better static and dynamic performance compared to the initial design by experienced engineers is achieved. As the first practical application of the multi-material BESO method to a large-scale architectural design, the example of the “Xiong’an Wings” building demonstrates the tremendous prospects for the application of multi-material topology optimization technology to the generative design of innovative and efficient building structures.
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