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Overview of transition prediction methods

Event Type: 
Date and Time: 
Friday, February 14, 2020 - 16:30
CTR Conference Room 103
Event Sponsor: 
Parviz Moin, Director of Center for Turbulence Research
Dr. Michael Karp

An overview of several available methods for prediction of the transition location is presented. Two particular methods are discussed – the eN method, and the empirical, correlation-based, model of Langtry & Menter (2009). The role of stability theory is explored, including local stability theory, incorporation of non-parallel effects (parabolized stability equations), and extensions into the nonlinear regime. Limitations and drawbacks are pointed out and possible future paths for improvement are highlighted. An area of particular interest is the receptivity stage, where environmental disturbances and surface imperfections trigger instability mechanisms in boundary layers.

Dr. Michael Karp is a Postdoctoral Fellow in the Center for Turbulence Research at Stanford University since 2017. Michael received all of his degrees from the Faculty of Aerospace Engineering, Technion (BSc 2007, Msc 2013, PhD 2017). His research combines theory and computations for understanding transition to turbulence. His research interests include Aerodynamics, Fluid Mechanics, Flow Instabilities, Transition to turbulence, Flow Control and Flight Mechanics.