Continuously Variable Fidelity Adaptive Large Eddy Simulations (original) (raw)

Abstract

Since the inception of Computational Fluid Dynamics, turbulence model-ing and numerical methods evolved as two separate fields of research with the perception that once a turbulence model is developed, any suitable computa-tional approach can be used for the numerical simulations of the model. Over the last decade, our group has pursued research with cardinally different philos-ophy in its belief that in order to increase the computational efficiency of turbu-lent flow simulations and substantially improve the accuracy of predictions of flow characteristics, both the numerics and physics-based modeling need to be tightly integrated to ensure better capturing of the flow physics on a near opti-mal adaptive computational grid, ultimately leading to substantial reduction in the computational cost, while resolving dynamically dominant flow structures. Turbulence is difficult to approximate mathematically, and to calculate numerically, because it is active over a large and continuous range of length scales (e.g. from less than a millimeter to hundreds of kilometers in the atmos-phere). The range of active scales increases with Reynolds number (like

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