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• W2913121010 abstract "Large-eddy simulation (LES) has been used to model turbulent channel flow over urban-like, fractal topographies, constructed via iterated function system (IFS). By using the IFS approach, the topography fractal dimension, D, and a desired number of generations, Ng, can be nominated a priori. The topographies considered herein all featured the same central square-based block for generation one, while predefined changes to the mapping function altered descendant generations, and thus fractal dimension. We selected five fractal dimensions over the range, 1≤D≤2, where smaller and larger values corresponded with urban environments that were less and more densely developed, respectively. For each fractal dimension, we modelled flow over topographies constructed with one to four iterations; the topographic elements were resolved during simulation with an immersed-boundary method (IBM). We quantified the momentum penalty associated with changing D and Ng, which enabled a posteriori deduction of roughness length parameters needed to model aerodynamic surface stress via the equilibrium logarithmic law. We showed that aerodynamic stress associated with the descendant, sub-generation elements can be parameterised, with only the first few generations resolved on the computational mesh. Finally, a logarithmic law-based roughness model was proposed for the unresolved, sub-generation topographic elements. Additional testing revealed that turbulence statistics (to the third-order) responded most dramatically to the first generation – in this case, a large central block – while the turbulence statistics are relatively similar whether the effects of additional generations are resolved or modelled." @default.
• W2913121010 created "2019-02-21" @default.
• W2913121010 creator A5021888872 @default.
• W2913121010 creator A5070830113 @default.
• W2913121010 date "2018-12-02" @default.
• W2913121010 modified "2023-09-25" @default.
• W2913121010 title "Turbulent flow over urban-like fractals: prognostic roughness model for unresolved generations" @default.
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• W2913121010 doi "https://doi.org/10.1080/14685248.2019.1568446" @default.
• W2913121010 hasPublicationYear "2018" @default.
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