COMPUTATIONAL DESIGN AND RESILIENT ENGINEERING OF TALL BUILDINGS IN COMPLEX URBAN WIND ENVIRONMENTS

The design and engineering of tall buildings in densely populated urban environments pose unique challenges due
to complex wind dynamics, spatial constraints, and evolving performance expectations. As cities expand
vertically, the interaction between wind flow and high-rise structures becomes increasingly critical, influencing
structural integrity, occupant comfort, and urban microclimates. Computational design and resilient engineering
approaches have emerged as essential methodologies to optimize building form, performance, and safety under
unpredictable and often extreme wind conditions. This paper investigates the role of advanced computational
tools—such as Computational Fluid Dynamics (CFD), parametric modeling, and topology optimization—in
shaping the aerodynamic performance of tall buildings. These tools allow engineers and architects to simulate
urban wind environments with high fidelity, assess wind-induced loads, and iteratively refine design geometries
for optimal wind resistance and energy efficiency. The integration of performance-based design principles with
real-time environmental data supports the development of adaptive structural systems that enhance resilience and
longevity. Key focus areas include wind tunnel validation of CFD models, the influence of building orientation
and façade articulation on vortex shedding, and the incorporation of smart damping technologies for dynamic load
control. The research also emphasizes the importance of urban planning policies and collaborative design
strategies in mitigating wind amplification effects between closely spaced towers. By combining computational
intelligence with resilient engineering practices, this study offers a comprehensive framework for the sustainable
and adaptive design of tall buildings in complex urban wind contexts. It supports the creation of vertical cities
that are not only structurally robust but also environmentally responsive and human-centric.