Alibrandi, Umberto, Alani, Amir and Ricciardi, Giuseppe (2015) A new sampling strategy for SVM-based response surface for structural reliability analysis. Probabalistic Engineering Mechanics, 41.
Alibrandi et al.pdf - Accepted Version
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To evaluate failure probability of structures in the most general case is computationally demanding. The cost can be reduced by using the Response Surface Methodology, which builds a surrogate model of the target limit state function. In this paper authors consider a specific type of response surface, based on the Support Vector Method (SVM). Using the SVM the reliability problem is treated as a classification approach and extensive numerical experimentation has shown that each type of limit state can be adequately represented; however it could require a high number of sampling points. This work demonstrates that, by using a novel sampling strategy based on sampling directions, it is possible to obtain a good approximation of the limit state without high computational complexity. A second-order polynomial SVM model has been adopted, so the need of determining free parameters has been avoided. However, if needed, higher-order polynomial or Gaussian kernel can be adopted to approximate any kind of limit state. Some representative numerical examples show the accuracy and effectiveness of the presented procedure.
|Subjects:||Construction and engineering > Built environment
Construction and engineering > Civil and structural engineering
Construction and engineering
|Depositing User:||Fabio Tosti|
|Date Deposited:||25 May 2016 23:38|
|Last Modified:||14 Jun 2016 11:27|
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