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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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COMPUTATIONAL DESIGN AND RESILIENT ENGINEERING OF TALL BUILDINGS IN COMPLEX URBAN WIND ENVIRONMENTS

Authors: Olaseni Oladehinde Iyiola;

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

Abstract

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.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green