DNS Investigation of Compressibility Effects on Separating and Reattaching Shear Layers

Farzad Mashayek, University of Arizona

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We will perform high-fidelity simulations of four supersonic shear layers in two geometries to capture and understand the underlying physics of their reattachments under the effect of compressibility by analyzing 61 variables resulting in 10TB of data.
This research will expand our understanding of compressibility effects in supersonic combustors, such as scramjet engines, which will allow engineers to propose improved designs of these supersonic flight vehicles of the future.