Wall-modeled large-eddy simulations of the flow over a Gaussian-shaped bump with a relaminarization sensor
ORAL
Abstract
Wall-modelled large-eddy simulations are conducted with a relaminarization sensor to investigate a turbulent boundary layer flow with a freestream Mach number M=0.2 over a Gaussian-shaped bump geometry at two different Reynolds numbers, ReL=106 and 2x106, based on the bump length.
The flow exhibits favorable and adverse pressure gradients driven by the bump curvature, leading to a region of relaminarization around the apex, for the ReL=106, and flow separation downstream of the bump apex, for both Reynolds numbers. This flow configuration serves as a challenging test case for wall-modeling approaches that typically assume the boundary layer to be fully turbulent, overestimating the friction and momentum losses in quasi-laminar regions.
A relaminarization sensor is developed to control the local application of the wall model and no-slip boundary conditions, adjusted by a blending function derived from flow quantities. We assess the performance of the proposed relaminarization sensor by comparing spanwise periodic simulation results with Direct Numerical Simulations by Uzun & Malik (2020, 2022) at both Reynolds numbers. The a posteriori analysis suggests that the sensor correctly distinguishes the relaminarization region in the low ReL case and improves flow predictions.
The flow exhibits favorable and adverse pressure gradients driven by the bump curvature, leading to a region of relaminarization around the apex, for the ReL=106, and flow separation downstream of the bump apex, for both Reynolds numbers. This flow configuration serves as a challenging test case for wall-modeling approaches that typically assume the boundary layer to be fully turbulent, overestimating the friction and momentum losses in quasi-laminar regions.
A relaminarization sensor is developed to control the local application of the wall model and no-slip boundary conditions, adjusted by a blending function derived from flow quantities. We assess the performance of the proposed relaminarization sensor by comparing spanwise periodic simulation results with Direct Numerical Simulations by Uzun & Malik (2020, 2022) at both Reynolds numbers. The a posteriori analysis suggests that the sensor correctly distinguishes the relaminarization region in the low ReL case and improves flow predictions.
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Presenters
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Naili Xu
University of Southern California
Authors
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Naili Xu
University of Southern California
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Ivan Bermejo-Moreno
University of Southern California