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Analysis of the Hessian for aerodynamic optimization: Inviscid flow. (English) Zbl 0969.76015

Summary: We analyze inviscid aerodynamic shape optimization problems governed by the full potential and Euler equations in two and three dimensions. The analysis indicates that minimization of pressure-dependent cost functions results in Hessians whose eigenvalue distributions are identical for the full potential and Euler equations. However, the optimization problems in two and three dimensions are inherently different. While the two-dimensional optimization problems are well-posed, the three-dimensional ones are ill-posed. Oscillations in the shape up to the smallest scale allowed by the design space can develop in the direction perpendicular to the flow, implying that a regularization is required. The analysis also gives an estimate of the Hessian’s condition number which implies that the problems at hand are ill-conditioned. Infinite-dimensional approximations for the Hessians are constructed, and preconditioners for gradient-based methods are derived from these approximate Hessians. Numerical results are given for small-disturbance potential equation in two and three space dimensions.

MSC:

76B75 Flow control and optimization for incompressible inviscid fluids
65K10 Numerical optimization and variational techniques
Full Text: DOI

References:

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