Coupled problem of the inverse design and constraint optimization

摘要

Two dimensional inviscid compressible flow solver has been implemented, validated and extended for completing inverse design based optimization problems. Euler equations are used for modelling basic physics. The standard cell centred finite volume method has been applied with Roe’s approximated Riemann solver, MUSCL (Monotone Upstream Schemes for Conservation Laws) approach and Mulder limiter. Stratford’s separation prediction method with constrained SQP (Sequential Quadratic Programming) optimization is implemented to evaluate the optimum pressure distribution at strong adverse pressure gradient flow conditions. A particular inverse design method is developed to complete wall surface modification till the optimum target pressure distribution is reached by means of inverse, wall modification and direct algorithms. The direct solver is validated and the coupled system of the inverse design method with constraint optimization is tested over the NACA 65-410 airfoil.