Survey of shape parameterization techniques for high-fidelity multidisciplinary shape optimization

Abstract

A survey is provided of shape parameterization techniques for multidisciplinary optimization, and some emerging ideas are highlighted. The survey focuses on the suitability of available techniques for multidisciplinary applications of complex configurations using high-fidelity analysis tools such as computational fluid dynamics and computational structural mechanics. The suitability criteria are based on the efficiency, effectiveness, ease of implementation, and availability of analytical sensitivities for geometry and grids. A section on sensitivity analysis, grid regeneration, and grid deformation techniques is also provided.