Size-dependent aerodynamic interference between adjacent bluff bodies: A two-stage generative adversarial network-super-resolution approach
Accurate prediction of wind-induced interference effects in building groups is essential for wind-resistant design, yet traditional approaches based on computational fluid dynamics (CFD) or wind tunnel tests are prohibitively expensive for large-scale parametric investigations. This study presents a deep learning-aided...