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Coupling Design and Validation Analysis of an Integrated Framework of Uncertainty Quantification

Author

Listed:
  • Bo Pang

    (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610213, China)

  • Yuhang Su

    (Department of Nuclear Engineering and Technology, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jie Wang

    (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610213, China)

  • Chengcheng Deng

    (Department of Nuclear Engineering and Technology, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Qingyu Huang

    (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610213, China)

  • Shuang Zhang

    (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610213, China)

  • Bin Wu

    (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610213, China)

  • Yuanfeng Lin

    (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610213, China)

Abstract

The uncertainty quantification is an indispensable part for the validation of the nuclear safety best-estimate codes. However, the uncertainty quantification usually requires the combination of statistical analysis software and nuclear reactor professional codes, and it consumes huge computing resources. In this paper, a design method of coupling interface between DAKOTA Version 6.16 statistical software and nuclear reactor professional simulation codes is proposed, and the integrated computing workflow including interface pre-processing, code batching operations, and interface post-processing can be realized. On this basis, an integrated framework of uncertainty quantification is developed, which is characterized by visualization, convenience, and efficient computing. Meanwhile, a typical example of small-break LOCA analysis of the LOBI test facility was used to validate the reliability of the developed integrated framework of uncertainty quantification. This research work can provide valuable guidance for developing an autonomous uncertainty analysis platform in China.

Suggested Citation

  • Bo Pang & Yuhang Su & Jie Wang & Chengcheng Deng & Qingyu Huang & Shuang Zhang & Bin Wu & Yuanfeng Lin, 2023. "Coupling Design and Validation Analysis of an Integrated Framework of Uncertainty Quantification," Energies, MDPI, vol. 16(11), pages 1-14, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4435-:d:1160291
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