4.7 Article

Practical application of multi-material topology optimization to performance-based architectural design of an iconic building

期刊

COMPOSITE STRUCTURES
卷 325, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2023.117603

关键词

Topology optimization; Multi -material topology optimization; Architectural design; Long -cantilevered building; Practical application

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With the development of architectural design and structural analysis techniques, structural performance-based design approaches have gained importance in the field of architecture. This study introduces a multi-material topology optimization method and applies it to the core structure design of the Xiong'an Wings building project, achieving favorable results.
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 longcantilevered building project called Xiong'an Wings. After an evolutionary design process based on the multimaterial 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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