A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System

Decay Heat Removal Critical Failure Region characterization Dimensionality Reduction Sensitivity Analysis Finite Mixture Models Kriging Adaptive Sampling Adaptive-Kriging Monte Carlo Sampling (AK-MCS) Passive Safety System

Domaines

Gestion des risques et des crises

Magalie Prudon : Connectez-vous pour contacter le contributeur

https://minesparis-psl.hal.science/hal-03480547

Soumis le : mardi 14 décembre 2021-17:11:10

Dernière modification le : mardi 31 octobre 2023-09:54:05

Dates et versions

hal-03480547 , version 1 (14-12-2021)

Identifiants

HAL Id : hal-03480547 , version 1
DOI : 10.1016/j.ress.2021.107963

Citer

L. Puppo, N. Pedroni, F. Di Maio, A. Bersano, C. Bertani, et al.. A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System. Reliability Engineering and System Safety, 2021, 216, pp.107963. ⟨10.1016/j.ress.2021.107963⟩. ⟨hal-03480547⟩

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INSTITUT-TELECOM ENSMP CRC-PARISTECH CRC-THESE ENSMP_CRC PARISTECH PSL ENSMP_DR

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