Efficient computational structural reliability analysis of concrete containments
Sadeghi, J. and de Angelis, M. and Patelli, E. and Prinja, N.K. (2018) Efficient computational structural reliability analysis of concrete containments. In: 2nd International Conference on Nuclear Power Plants, 2018-06-11 - 2018-06-12, Croydon.
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Abstract
This paper presents probabilistic analysis of structural capacity of pre-stressed concrete containments subjected to internal pressure using the Advanced Line Sampling Method (an efficient advanced Monte Carlo simulation technique, which gives more accurate results than FORM). This task is an important part of level 2 probabilistic safety analysis in the nuclear industry, particularly when a reactor is undergoing design assessment. We compare our calculation with experimental results from two international round robin test exercises (Sandia National Laboratories and Bhabha Atomic Research Centre) and calculations using FORM, which are available in the literature. Since the ultimate structural collapse mode of the structures has already been established, we simply attempt to probabilistically determine the failure pressure of the containment. Our results show close agreement with previous calculations and demonstrate that structural engineers who are not specialists in risk engineering can obtain accurate probabilistic analyses of their models using freely available software.
ORCID iDs
Sadeghi, J., de Angelis, M. ORCID: https://orcid.org/0000-0001-8851-023X, Patelli, E. ORCID: https://orcid.org/0000-0002-5007-7247 and Prinja, N.K.;-
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Item type: Conference or Workshop Item(Paper) ID code: 82955 Dates: DateEvent6 June 2018Published1 April 2018AcceptedSubjects: Social Sciences > Industries. Land use. Labor > Risk Management
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 27 Oct 2022 09:26 Last modified: 15 Dec 2024 01:58 URI: https://strathprints.strath.ac.uk/id/eprint/82955