A First Step Towards the Use of Proper General Decomposition Method for Structural Optimization
Source: Archives of Computational Methods in Engineering, Volume 17, Number 4, December 2010 , pp. 465-472(8)
Abstract:In structural optimization, the implicit nature of the cost function with respect to the optimization parameters, i.e. through the solution of the structural problem calculated with fixed values of these parameters, leads to prohibitive computations whatever the adopted formulation.
Consequently, it yields limitations in both the number of parameters and the size of the structural problem. Moreover, some know-how is required to define a relevant structural problem and a well-behaved cost function.
Here, we profit from the ability of the Proper Generalized Decomposition (PGD) method to handle large-dimensionality problems to transform the optimization parameters into variables of an augmented-structural problem which is solved prior to optimization. As a consequence, the cost function becomes explicit with respect to the parameters.
As the augmented-structural problem is solved a priori, it becomes independent from the a posteriori optimization. Obviously, such approach promises numerous advantages, e.g. the solution of the structural problem can be easily analyzed to provide a guide to define the cost function and advanced optimization schemes become numerically tractable because of the easy evaluation of the cost function and its gradients.
Document Type: Research Article
Affiliations: 1: Institut de Recherche en Génie Civil et Mécanique—GeM, UMR CNRS 6183, Ecole Centrale Nantes, BP 92101, 44321, Nantes cedex 3, France, Email: email@example.com 2: Institut de Recherche en Génie Civil et Mécanique—GeM, UMR CNRS 6183, Ecole Centrale Nantes, BP 92101, 44321, Nantes cedex 3, France, Email: firstname.lastname@example.org
Publication date: December 1, 2010