Reliability assessment of equal height difference passive containment cooling system based on the adaptive metamodel-based subset importance sampling method in inverse uncertainty quantification framework
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Hong Jiang
Abstract
To enhance computational efficiency in estimating the posterior failure probability of passive systems, this study proposes an innovative framework integrating inverse uncertainty quantification (IUQ) with adaptive metamodel-based subset importance sampling (AM-SIS). This approach leverages updated input parameter distributions for precise posterior failure probability assessment. Within the IUQ framework, Bayesian neural networks is employed to assist established Markov Chain Monte Carlo methods for posterior sampling, significantly reducing computational costs. The coupled IUQ-AM-SIS framework is validated on polynomial benchmark cases and the equal height difference passive containment cooling system (EHDPCCS), examining scenarios with single and double calibration parameters. Results demonstrate that integrating the AM-SIS method significantly improves computational efficiency for posterior failure probability estimation, particularly in low failure probability regimes.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: We declare that we have no financial or personal relationships with other people or organizations that can inappropriately influence our work. There is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled “Reliability assessment of equal height difference passive containment cooling system based on the adaptive metamodel-based subset importance sampling method in inverse uncertainty quantification framework”.
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Research funding: None declared.
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Data availability: Not applicable.
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© 2025 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Serpent 2 simulations of the historic Haigerloch B8 nuclear reactor of 1945
- Safety behaviour of a material testing reactor using U3Si2 fuel during reactivity insertion accident
- Augmentation of the neutronic safety aspect of high-density fuel research reactor using new control element design
- Analysis of neutronic performance of VVER 1200 reactor using accident tolerant fuel
- Reliability assessment of equal height difference passive containment cooling system based on the adaptive metamodel-based subset importance sampling method in inverse uncertainty quantification framework
- Numerical investigation of three-tube intertwined HX design
- Prediction of LOCA break sizes using LSTM architecture for pressurized water reactors
- Decoupling and controller design of multivariable systems for small modular reactors
- Adsorption behavior of Se(Ⅳ) and Se(Ⅵ) on sodium bentonite
- Calendar of events
Artikel in diesem Heft
- Frontmatter
- Serpent 2 simulations of the historic Haigerloch B8 nuclear reactor of 1945
- Safety behaviour of a material testing reactor using U3Si2 fuel during reactivity insertion accident
- Augmentation of the neutronic safety aspect of high-density fuel research reactor using new control element design
- Analysis of neutronic performance of VVER 1200 reactor using accident tolerant fuel
- Reliability assessment of equal height difference passive containment cooling system based on the adaptive metamodel-based subset importance sampling method in inverse uncertainty quantification framework
- Numerical investigation of three-tube intertwined HX design
- Prediction of LOCA break sizes using LSTM architecture for pressurized water reactors
- Decoupling and controller design of multivariable systems for small modular reactors
- Adsorption behavior of Se(Ⅳ) and Se(Ⅵ) on sodium bentonite
- Calendar of events
