Data-driven assessment of arch vortices in simplified urban flows
\'Alvaro Mart\'inez-S\'anchez, Eneko Lazpita, Adri\'an Corrochano,, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa

TL;DR
This paper employs advanced data-driven modal analysis techniques to investigate the formation and destruction mechanisms of arch vortices in simplified urban flow models, enhancing understanding of urban aerodynamics.
Contribution
It introduces a combined use of HODMD, POD, and STKD to analyze turbulent urban flows and characterizes vortex-generating and vortex-breaking modes related to arch vortex dynamics.
Findings
Identification of vortex-generator and vortex-breaker modes.
Interaction between low- and high-frequency modes influences vortex formation.
High-energy vortex-breaker modes drive vortex destruction.
Abstract
Understanding flow structures in urban areas is widely recognized as a challenging concern due to its effect on urban development, air quality, and pollutant dispersion. In this study, state-of-the-art data-driven methods for modal analysis of simplified urban flows are used to study the dominant flow processes in these environments. Higher order dynamic mode decomposition (HODMD), a highly-efficient method to analyze turbulent flows, is used together with traditional techniques such as proper-orthogonal decomposition (POD) to analyze high-fidelity simulation data of a simplified urban environment. Furthermore, the spatio-temporal Koopman decomposition (STKD) will be applied to the temporal modes obtained with HODMD to perform spatial analysis. The flow interaction within the canopy influences the flow structures, particularly the arch vortex. The latter is a vortical structure…
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Taxonomy
TopicsWind and Air Flow Studies
