Adaptive support vector machine combined with fuzzy simulation for failure possibility analysis

Chunyan Ling, Zhenzhou Lu

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

Abstract

In the uncertain case with limit information, the non-probabilistic model has to be used for treating the uncertainty, and this paper concerns the non-probabilistic model which treats the uncertainty as fuzzy variable described by membership function. The failure possibility can measure the safety degree of structure in the presence of fuzzy uncertainty. To efficiently estimate the failure possibility, a method combining adaptive support vector machine with fuzzy simulation is proposed. The proposed method firstly applies the fuzzy simulation to transform the estimation of failure possibility into a classification problem. Then, the support vector machine is employed to complete this classification problem. To construct a precise support vector machine using as less computational effort as possible, a new learning function is proposed. The new learning function aims at selecting the sample which is in the vicinity of the limit state surface and possesses large prediction uncertainty to sequentially update the support vector machine model. Since the support vector machine cannot directly provide the prediction variance, thus, the prediction uncertainty is estimated by leave-one-out strategy. Due to the fuzzy simulation can avoid using optimization algorithm, and the support vector machine can reduce the computational cost dramatically, the proposed method significantly enhances the efficiency for estimating the failure possibility.

Original languageEnglish
Title of host publicationProceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
EditorsPiero Baraldi, Francesco Di Maio, Enrico Zio
PublisherResearch Publishing, Singapore
Pages1640-1646
Number of pages7
ISBN (Print)9789811485930
DOIs
StatePublished - 2020
Event30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 - Venice, Italy
Duration: 1 Nov 20205 Nov 2020

Publication series

NameProceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference

Conference

Conference30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020
Country/TerritoryItaly
CityVenice
Period1/11/205/11/20

Keywords

  • Failure possibility
  • Fuzzy simulation
  • Fuzzy variable
  • Learning function
  • Leave-one-out strategy
  • Membership function
  • Non-probabilistic model
  • Support vector machine
  • Surrogate model

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