Feiyang Li , Youwei Zeng , Pengcheng Zhao , Zijing Liu , Wei Li
{"title":"Reliability analysis of a lead-bismuth cooled passive system based on AL-I surrogate model","authors":"Feiyang Li , Youwei Zeng , Pengcheng Zhao , Zijing Liu , Wei Li","doi":"10.1016/j.anucene.2025.111875","DOIUrl":null,"url":null,"abstract":"<div><div>Passive residual heat removal systems ensure the safe operation of lead–bismuth fast reactors. However, the resistance of such systems is similar to natural driving forces, while small fluctuations in the surrounding environment and material parameters can cause system failure; thus, analyzing the reliability of passive residual heat removal systems is important for lead–bismuth cooling. This study utilizes the passive system in the lead–bismuth eutectic loop of the TALL-3D experimental facility and proposes a reliability analysis based on the active learning-integration (AL-I) surrogate model. The AL-I surrogate model is constructed first, and single-failure and multiple-failure region validations are performed to ensure accuracy and robustness of the model. Subsequently, the sensitivity and reliability of the TALL-3D non-energetic system is determined. The active learning ensemble surrogate model only needs 99 low-cost numerical calculations to obtain a reliable result with a failure rate of 0.0650%. This model not only significantly reduces the computational resources and time costs, but also allows high-precision failure probability assessments. Therefore, this study shows that the AL-I surrogate model is advantageous for lead–bismuth cooled non-energetic waste heat discharge systems and offers solid technical support for engineering such systems.</div></div>","PeriodicalId":8006,"journal":{"name":"Annals of Nuclear Energy","volume":"226 ","pages":"Article 111875"},"PeriodicalIF":2.3000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306454925006929","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Passive residual heat removal systems ensure the safe operation of lead–bismuth fast reactors. However, the resistance of such systems is similar to natural driving forces, while small fluctuations in the surrounding environment and material parameters can cause system failure; thus, analyzing the reliability of passive residual heat removal systems is important for lead–bismuth cooling. This study utilizes the passive system in the lead–bismuth eutectic loop of the TALL-3D experimental facility and proposes a reliability analysis based on the active learning-integration (AL-I) surrogate model. The AL-I surrogate model is constructed first, and single-failure and multiple-failure region validations are performed to ensure accuracy and robustness of the model. Subsequently, the sensitivity and reliability of the TALL-3D non-energetic system is determined. The active learning ensemble surrogate model only needs 99 low-cost numerical calculations to obtain a reliable result with a failure rate of 0.0650%. This model not only significantly reduces the computational resources and time costs, but also allows high-precision failure probability assessments. Therefore, this study shows that the AL-I surrogate model is advantageous for lead–bismuth cooled non-energetic waste heat discharge systems and offers solid technical support for engineering such systems.
期刊介绍:
Annals of Nuclear Energy provides an international medium for the communication of original research, ideas and developments in all areas of the field of nuclear energy science and technology. Its scope embraces nuclear fuel reserves, fuel cycles and cost, materials, processing, system and component technology (fission only), design and optimization, direct conversion of nuclear energy sources, environmental control, reactor physics, heat transfer and fluid dynamics, structural analysis, fuel management, future developments, nuclear fuel and safety, nuclear aerosol, neutron physics, computer technology (both software and hardware), risk assessment, radioactive waste disposal and reactor thermal hydraulics. Papers submitted to Annals need to demonstrate a clear link to nuclear power generation/nuclear engineering. Papers which deal with pure nuclear physics, pure health physics, imaging, or attenuation and shielding properties of concretes and various geological materials are not within the scope of the journal. Also, papers that deal with policy or economics are not within the scope of the journal.