Laminar–turbulent transition numerical methods and reduced order models in hypersonic environments
Sandia National Laboratories
Abstract
This presentation will highlight projects relating to laminar–turbulent transition in hypersonic environments performed at Sandia over the last few years. Several regions of fidelity and cost with comparisons to experimental wind tunnel measurements is highlighted. High-fidelity simulation data is compared for a AEDC Tunnel 9 laminar–turbulent transitional experiment. High-fidelity boundary layer disturbances and mean quantities demonstrate reasonable agreement to experimental data for the transition process. Temporal and spatial autocorrelations are presented during the laminar, transitional, and turbulent regions on the surface for the high-fidelity simulation. Mid-fidelity transition prediction using linearized techniques is then presented. Comparison for a one-dimensional normal shock with the analytical relations and a sharp cone wind tunnel experiment is presented alongside the high-fidelity simulations. This mid-fidelity model is then extended to a blunt cone and three-dimensional flight vehicles. Finally, a new preliminary low-fidelity model is presented on a simple cone geometry which is informed using an ensemble of simulation solutions and the parabolized stability equations to generate N-factor envelopes and transition locations.
About the speaker
Dr. Shaun Harris is currently at Sandia National Laboratories as an aeronautical engineer working with laminar-turbulent transition and stability in high-velocity fluid mechanics flows. After graduating with B.S. from Utah State University (summa cum laude) in Mechanical and Aerospace Engineering, Shaun took an internship at Sandia National Laboratories, Albuquerque. He obtained his M.S. and Ph.D. in Mechanical Engineering under the direction of Parviz Moin at Stanford University with an emphasis in computational modeling and fluid dynamics. He then took a postdoctoral position at Sandia and transitioned to full-time staff in the Computational Aerosciences Department.
