Hybrid aerodynamic and structural optimization of super-tall buildings under wind loads for sustainable and...

Recently, there has been advancement in tall building design to achieve lighter structures, which led to an increase in the challenges that are related to wind resistance and cost efficiency. This study is to provide multi-optimization gathering between the aerodynamic optimization with a radial basis function (RBF)-based design and structure optimization by utilizing a genetic algorithms (GAs) developed by an enhanced penalty function. Subsequently, the optimized wind loads are employed to optimize the structure weight while ensuring resilience against wind-induced loads. The findings indicate significant enhancements, featuring a 28.2% drop in maximum top displacement accompanied by just a 0.76% reduction in total gross floor area for the optimal corner configuration (chamfered). This approach enhanced the wind load due to optimal corner configurations for structural optimization of the building, leading to redistribution of lateral structural sections of the building along the height to minimize the weight with compliance of required performance building criteria such as displacement, drift, and acceleration constraints simultaneously. The output of the optimization achieved 28.8% less concrete, leading to a reduction of 4630 tons of embodied CO₂ emissions. Overall, the proposed hybrid framework effectively enhances building performance, sustainability, and economic viability in the design of super-tall buildings.