Work

Support vector machines in reliability calculations of engineering structures

Year: 2025

Type: article

Abstract: : In the paper, a metamodeling approach based on support vector regression is studied as a promising tool in the assessment of reliability level. The method consists of two steps: firstly, an approximation of the original limit state function is performed, and in the second step a failure probability or reliability index is calculated with a simpler, approximated function using traditional simulation techniques. Two problems with explicit limit state functions are used to study the effectivity of the method. In order to be as effective as possible with respect to computational effort, a stratified Latin Hypercube Sampling simulation method is utilized to properly select training set elements. The accuracy of the method is analyzed and compared with other surrogate modeling methods, namely the polynomial- and artificial neural network-based response surface method, achieving comparable results.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17398028

Authors: Šomodíková, Martina, Lehký, David

Institution: Brno University of Technology

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky

Awards: G3424462763, Multi-fidelity modelling of shear concrete strength based on experiments, simulation and probabilistic approaches (MMOSS)