Explorations in Numerical Aerodynamic Shape Optimization

David Zingg
Institute for Aerospace Studies
University of Toronto
Toronto, Canada


This presentation will describe recent research in aerodynamic shape optimization based on the numerical solution of the Euler and Reynolds-averaged Navier-Stokes equations. The basic methodology includes a parallel implicit flow solver based on SBP-SAT finite-difference schemes on multi-block structured grids combined with a discrete adjoint approach to gradient computation along with B-spline based geometry parameterization and an efficient integrated approach to mesh movement. Topics covered will include the flow solution algorithm, geometry parameterization and mesh movement, the adjoint method, gradient-based optimization algorithms for multi-modal problems, and application to the design of unconventional aircraft.