A decomposition algorithm for large scale surrogate models

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In engineering designs, it is necessary to deal with large numbers of parameters and constrains. However, finite computer resources do not allow all the parameters to be taken into consideration. In recent years, surrogate models were employed to increase the computational efficiency. This approach not only increases the computational speed, but it also provides the means for global optimization methods. Unfortunately, the surrogate models have practical limitations. It is very difficult, if notimpossible, to construct a surrogate model with more than a very limited number of parameters. Since the construction of surrogate models requires increasing number of samples with increasing number of parameters, this makes the application of the method infeasible. To overcome these limitations, a decomposition approach is proposed for structural designs having a simple geometrical pattern with repetition. The application of the algorithm to a stiffened panel structure is presented.

Original languageEnglish
Title of host publicationSustainable Maritime Transportation and Exploitation of Sea Resources - Proceedings of the 14th International Congress of the International Maritime Association of the Mediterranean, IMAM 2011
Pages305-309
Number of pages5
Publication statusPublished - 2012
Event14th International Congress of the International Maritime Association of the Mediterranean, IMAM 2011 - Genova, Italy
Duration: 13 Sept 201116 Sept 2011

Publication series

NameSustainable Maritime Transportation and Exploitation of Sea Resources - Proceedings of the 14th International Congress of the International Maritime Association of the Mediterranean, IMAM 2011
Volume1

Conference

Conference14th International Congress of the International Maritime Association of the Mediterranean, IMAM 2011
Country/TerritoryItaly
CityGenova
Period13/09/1116/09/11

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