Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design

Tall buildings with irregular shapes and considerable heights are gaining popularity in creating the vertical cities around world. They also considered one of major energy consumers little regards to sustainability. building is wind-sensitive structure shape plays role determining wind loads, which usually govern design its lateral resisting system. Thus, evaluating loads properly designing an optimal system accordingly main challenges attributed process tall building. This paper presents a computational procedure for wind-resistant minimize total weight within requirements single digital environment. That achieved firstly by fluid dynamic (CFD) analysis that coupled pressure-load translation (PLT) algorithm evaluate motions on generate accordingly. Genetic Algorithm (GA) enhance constrains function displacements, inter-story drifts top acceleration then developed perform structural optimization. A numerical example using 70-story twisting reinforced concrete implemented verify feasibility procedures. Steady incompressible flow applied at ( 0° ) angle attack was CFD model simulate studied improved constraints static optimize effectively efficiently. The demonstrates effectiveness achieving 35.71% reduction volume from original design. translated into sustainability value lessening embedded carbon dioxide 4,400 tons.