Presentation Details
RESEARCH ON RELIABILITY-BASED DESIGN OPTIMIZATION METHOD OF NUCLEAR PASSIVE RESIDUAL HEAT REMOVAL SYSTEM
ID：56
View Protection：ATTENDEE
Updated Time：2024-09-08 17:34:41 Hits：304
Oral Presentation
Start Time：Pending（Asia/Shanghai）
Duration：Pending
Session：No Session »
No files
Abstract
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.
Keywords
passive residual heat removal (PRHR), reliability-based design optimization (RBDO), sequence optimization and reliability assessment (SORA), TAGA-BP, lightweigh
Speaker
Yuepeng Bi
doctoral student Harbin Engineering UniversitySubmission Author
All Comments
Important Date
-
Conference Date
Sep 23
2024
toSep 25
2024
-
Sep 24 2024
Contribution Submission Deadline
-
Sep 25 2024
Registration deadline
Sponsored By
Harbin Engineering University (HEU)
Contact Information
- Prof. WANG Xiang
- xi******@hrbeu.edu.cn
Previous Conferences
-
2016-09-26 China Chengdu,China
8th International Symposium on Symbiotic Nuclear Power Systems for 21st Century -
2016-09-26 China Chengdu,China
8th International Symposium on Symbiotic Nuclear Power Systems for 21st Century -
2010-08-23 China 哈尔滨市
The 3rd International Symposium on Symbiotic Nuclear Power Systems for 21st Century (ISSNP2010)
Submit Comment