A constraint mapping approach to the structural optimization of an expensive model using surrogate

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Description/Abstract

The use of response surface methods are well established in the global optimization of expensive functions, the response surface acting as a surrogate to the epensive function objective.

In structural design however, the change in objective may vary little between the two models: it is the constraints that change with models of varying fidelity. Her approaches are described whereby the coarse model constraints are mapped so that the mapped constraints more faithfully approximate the fine model constraints. The shape optimization of a simple structure demonstrates the approach.