报告详情
RESEARCH ON RELIABILITY-BASED DESIGN OPTIMIZATION METHOD OF NUCLEAR PASSIVE RESIDUAL HEAT REMOVAL SYSTEM
编号：56
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更新：2024-09-08 17:34:41 浏览：82次
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摘要
Reducing the weight of marine nuclear power plants is essential for optimal performance. Passive residual heat removal systems (PRHRS) enhance safety and are a significant trend in marine nuclear plant design. However, these systems rely on physical laws, providing less driving force than active equipment and are susceptible to uncertainties, impacting their functionality. Considering these uncertainties is crucial in design and operation. Traditional deterministic design uses safety factors to ensure reliability but lacks a solid theoretical base. To address this issue and account for uncertainty, this study focuses on reliability-based design optimization methods for passive residual heat removal systems using sequence optimization and reliability assessment (SORA). The design optimization and reliability analysis are carried out in sequence. Design optimization and reliability analysis are performed sequentially. In the design optimization part, the optimal solution of the objective function is obtained through optimization algorithm. At the optimal solution, inverse reliability analysis is carried out to solve the shifting vector through inverse reliability analysis, and the coupling of the two parts is realized. Additionally, we utilize the TAGA-BP( two-layer adaptive genetic algorithm to optimize BP neural network) model instead of the T-H code to reduce computational burden. When applied to the IP200 passive residual heat removal system, our method reduces its weight by 2.471×103 kg (3.46% reduction) while maintaining a limited probability of failure. Compared to conventional deterministic optimization approaches, reliability-based approach further optimizes safety margins. This paper's proposed method has demonstrated capability in accounting for uncertainty factors during the design optimization process and offers advantages such as fast computation speed. Overall, this approach effectively reduces weight in passive residual heat removal systems and plays a vital role in improving their overall economy.
关键词
passive residual heat removal (PRHR), reliability-based design optimization (RBDO), sequence optimization and reliability assessment (SORA), TAGA-BP, lightweigh
报告人
Yuepeng Bi
doctoral student Harbin Engineering University稿件作者
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重要日期
-
会议日期
09月23日
2024
至09月25日
2024
-
09月24日 2024
报告提交截止日期
-
09月25日 2024
注册截止日期
主办单位
Harbin Engineering University (HEU)
联系方式
- Prof. WANG Xiang
- xi******@hrbeu.edu.cn
历届会议
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2016年09月26日 中国 Chengdu,China
8th International Symposium on Symbiotic Nuclear Power Systems for 21st Century -
2016年09月26日 中国 Chengdu,China
第八届21世纪和谐核电系统国际会议 -
2010年08月23日 中国 哈尔滨市
第三届21世纪和谐核电系统国际会议（ISSNP2010）
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