Journal article
Modeling the Surface Pressure Spectrum Beneath Turbulent Boundary Layers in Pressure Gradients
DJ Fritsch, V Vishwanathan, CJ Roy, KT Lowe, WJ Devenport, P Croaker, O Tkachenko, D Pook, G Lane, S Shubham, RD Sandberg
AIAA Journal | Published : 2023
DOI: 10.2514/1.J062074
Abstract
A wide variety of models and methods for the prediction of the surface pressure spectrum beneath turbulent boundary layers is presented and assessed. A thorough review is made of the current state of the art in empirical and analytical pressure spectrum models; and predictions of zero, adverse, favorable, and nonequilibrium pressure gradient boundary layers are examined using a steady Reynolds-averaged Navier–Stokes (RANS) prediction of a subset of a pressure gradient boundary-layer benchmark flow case. The existing empirical models show either an inability to adapt to pressure gradient conditions or an oversensitivity to model inputs, producing nonphysical results under certain flow conditi..
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Grants
Awarded by U.S. Department of Defense
Funding Acknowledgements
The authors from the University of Melbourne acknowledge support from the Australian Research Council and the U.S. Office of Naval Research (ONR) under Naval International Cooperative OPportunities (NICOP) grant N62909-20-1-2046 with Program Monitors Julie Young (ONR) and Elena McCarthy (ONR Global). The authors from Virginia Polytechnic Institute and State University would like to thank Peter Chang and Julie Young of the U.S. Office of Naval Research for their support of experimental work through grant numbers N00014-18-1-2455, N00014-19-1-2109, and N00014-20-1-2821. All of the authors would also like to thank the U.S. Department of Defense High Performance Computing Modernization Program for computational resources. The authors would also like to thank the NATO Science and Technology Organization for hosting this collaboration.