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Dynamic Hybrid Reliability Studies of a Decay Heat Removal System
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.ORCID iD: 0000-0002-0683-9136
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.ORCID iD: 0000-0001-7816-8442
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2015 (English)In: International Journal of Reliability, Quality and Safety Engineering (IJRQSE), ISSN 0218-5393, Vol. 22, no 4, 1550020Article in journal (Refereed) Published
Abstract [en]

Some critical safety systems exhibit the characteristics of hybrid stochastic class whose performance depends on the dynamic interactions of deterministic variables of physical phenomena and probabilistic variables of system failures. However, conventional probabilistic safety assessment (PSA) method involves static event and linked fault tree analysis and does not capture the dynamic interactions of such hybrid stochastic systems. Additionally, the existing dynamic PSA methods do not consider any repair possibility of some failed components during safety assessment. To address these issues, this paper presents a dynamic hybrid reliability assessment scheme for performance studies of repairable nuclear safety systems during a mission time. This scheme combines the features of reliability block diagram (RBD) for system compositions and partial differential equations for system physics using a customized stochastic hybrid automata tool implemented on Python platform. A case study of decay heat removal (DHR) systems has been performed using the introduced scheme. The impacts of failure rates and repair rates on sodium temperature evolution over a mission time have been analyzed. The results provide useful safety insights in mission safety tests of DHR systems. In sum, this work advances the dynamic safety assessment approach for complex system designs including nuclear power plants.

Place, publisher, year, edition, pages
World Scientific, 2015. Vol. 22, no 4, 1550020
Keyword [en]
decay heat removal system, dynamic reliability, piecewise deterministic Markov process, Probabilistic safety assessment, stochastic hybrid automata, Differential equations, Fault tree analysis, Nuclear power plants, Reliability, Repair, Safety engineering, Safety testing, Security systems, Stochastic systems, Systems analysis, Systems engineering, Decay heat removal systems, Dynamic interaction, Dynamic safety assessments, Hybrid stochastic system, Nuclear safety system, Reliability block diagrams, Temperature evolution, Dynamics
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-175050DOI: 10.1142/S0218539315500205Scopus ID: 2-s2.0-84940010560OAI: oai:DiVA.org:kth-175050DiVA: diva2:878136
Note

QC 20151208

Available from: 2015-12-08 Created: 2015-10-09 Last updated: 2017-12-01Bibliographically approved

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Kudinov, PavelBechta, Sevostian

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Kumar, RanjanKudinov, PavelBechta, Sevostian
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