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 dueto complex wind dynamics, spatial constraints, and evolving performance expectations. As cities expandvertically, the interaction between wind flow and high-rise structures becomes increasingly critical, influencingstructural integrity, occupant comfort, and urban microclimates. Computational design and resilient engineeringapproaches have emerged as essential methodologies to optimize building form, performance, and safety underunpredictable and often extreme wind conditions. This paper investigates the role of advanced computationaltools—such as Computational Fluid Dynamics (CFD), parametric modeling, and topology optimization—inshaping the aerodynamic performance of tall buildings. These tools allow engineers and architects to simulateurban wind environments with high fidelity, assess wind-induced loads, and iteratively refine design geometriesfor optimal wind resistance and energy efficiency. The integration of performance-based design principles withreal-time environmental data supports the development of adaptive structural systems that enhance resilience andlongevity. Key focus areas include wind tunnel validation of CFD models, the influence of building orientationand façade articulation on vortex shedding, and the incorporation of smart damping technologies for dynamic loadcontrol. The research also emphasizes the importance of urban planning policies and collaborative designstrategies in mitigating wind amplification effects between closely spaced towers. By combining computationalintelligence with resilient engineering practices, this study offers a comprehensive framework for the sustainableand adaptive design of tall buildings in complex urban wind contexts. It supports the creation of vertical citiesthat are not only structurally robust but also environmentally responsive and human-centric.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-28
- DOI
- https://doi.org/10.5281/zenodo.15099477
- Primary Topic
- Wind and Air Flow Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00