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The optimization of diagrid structures in high-rise buildings has become increasingly important due to the demand for more efficient and sustainable designs. However, there is limited research on the use of advanced optimization techniques for diagrid structures. This paper utilizes the Snow Ablation Optimizer (SAO) to optimize the design parameters of diagrid structures. The framework first simplifies the existing stiffness formulas. Secondly, it determines the optimal relationship between the number of elevation spans and the modules by maximizing the stiffness or minimizing the top lateral displacement. Finally, a Python-based parametric model is developed to rapidly produce design drawings through artificial intelligence rendering. The results demonstrate that using SAO to optimize diagrid structures is a powerful tool for structural engineers during design. The framework of this study can provide customized design solutions that promote sustainability and support the intelligent design of diagrid structures. • Proposed an intelligent design method for diagrid structures based on the SAO. • Simplified stiffness formulas for diagrid structure without compromising accuracy. • Evaluated objective, aspect ratio, and base polygon effects on module count via SAO. • Established optimal model between the number of elevation spans and the modules. • BIMBase parametric model enabling flexible diagrid structures and AI rendering.
Wang et al. (Thu,) studied this question.