Development of 3 D Freestream Receptivity DNS Data Base for Hypersonic Flow over Spherical and Elliptical Cones
Abstract
The receptivity of hypersonic boundary layers to freestream forcing waves plays a critical role in the transition of the hypersonic boundary layer downstream. Specifically, quantitative receptivity coefficients are needed in the following two areas of transition predictions and studies: 1) the development of physics based e^n transition prediction based on Mack s amplitude method, and 2) the DNS studies of nonlinear receptivity and breakdown of boundary layer to turbulence that is induced by freestream noise. These extensive receptivity coefficients can only be obtained by complex 3 D receptivity simulation, which is a challenging task and has not been done so far. Therefore, this proposal seeks to conduct DNS study on the 3 D receptivity of hypersonic boundary layer to freestream disturbance waves to develop a linear receptivity database in the frequency domain for both spherical and elliptical cones. The DNS results will subsequently be used to obtain receptivity coefficients for the e^n amplitude method and for the inlet conditions of the DNS of nonlinear receptivity and breakdown induced by freestream disrurbances. The specific research objectives are: 1) Develop new high order DNS methods and computer codes for simulation study of fundamental receptivity and instability mechanisms of hypersonic flow; 2) Conduct extensive DNS studies of 3 D receptivity of hypersonic boundary layers to freestream disturbances of various types, flow configurations including both spherical and elliptical cones at zero and non zero angles of attack; 3) Use our analytical tools to extract the continuous frequency spectra of the receptivity coefficients; 4) Set up the framework of using the receptivity database to assign inlet conditions for 3 D DNS of the nonlinear receptivity to freestream noise and the nonlinear breakdown simulation.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 14, 2022
- Source ID
- FA95501910206
Entities
People
- Xiaolin Zhong
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of California, Los Angeles