@inproceedings{5ad598fba626497cbdb8803a0579ec02,
title = "Design space decomposition using support vector machines for reliability-based design optimization",
abstract = "This article presents a method for the explicit decomposition of the design space using support vector machines (SVM). The decomposition identifies the explicit boundaries of a failure region (limit state function) in terms of deterministic and random design variables. This allows an easy calculation of a probability of failure and enables to associate a specific system behavior with a region of the design space. The explicit expression for a limit state function is then used in a reliability-based design optimization formulation. Two structural problems are presented to demonstrate the efficiency of the approach.",
author = "Sanchez, {Antonio Harrison} and Samy Missouri and Teuscher, {Juan Pablo Martinez}",
year = "2006",
doi = "10.2514/6.2006-6927",
language = "English (US)",
isbn = "1563478234",
series = "Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
pages = "339--353",
booktitle = "Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference",
note = "11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference ; Conference date: 06-09-2006 Through 08-09-2006",
}