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Global sensitivity analysis for nuclear reactor LBLOCA with time-dependent outputs

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  • Xiong, Qingwen
  • Du, Peng
  • Deng, Jian
  • Huang, Daishun
  • Song, Gongle
  • Qian, Libo
  • Wu, Zenghui
  • Luo, Yuejian

Abstract

The sensitivity analysis plays a key role in the reliability assessment and safety analysis of the reactor accident scenarios. Conventional techniques mainly assess the influences of input parameters on outputs at scalar points. However, the phenomena and parameters vary significantly within the accident phases and it is necessary to consider time-dependent outputs. In this study, a sensitivity analysis technique for time-dependent outputs was implemented. The time-dependent sensitivity measures are obtained by firstly performing certain code calculations, then converting the time-dependent output data into functional data using the B-spline function, followed by aligning the features of the functional curves using the registration strategy, and finally calculating the global sensitivity measure of each input over time. The proposed technique was applied to the analysis of the LOFT large break loss of coolant accident (LBLOCA), and the time-dependent sensitivity measures of 20 inputs on the cladding temperature were acquired and analyzed. Results showed that the proposed technique could well estimate the influences of the important inputs over time, and was applicable to identify the key parameters in nuclear reactor accident transients.

Suggested Citation

  • Xiong, Qingwen & Du, Peng & Deng, Jian & Huang, Daishun & Song, Gongle & Qian, Libo & Wu, Zenghui & Luo, Yuejian, 2022. "Global sensitivity analysis for nuclear reactor LBLOCA with time-dependent outputs," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:reensy:v:221:y:2022:i:c:s0951832022000187
    DOI: 10.1016/j.ress.2022.108337
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    1. Ebrahimi, Mehrdad & Nobahar, Elnaz & Mohammadi, Reza Karami & Noroozinejad Farsangi, Ehsan & Noori, Mohammad & Li, Shaofan, 2023. "The influence of model and measurement uncertainties on damage detection of experimental structures through recursive algorithms," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
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    3. Xiong, Qingwen & Qian, Libo & Song, Gongle & Yang, Jiewei & Liu, Yu & Deng, Jian & Qiu, Zhifang, 2024. "Realistic performance assessment of FeCrAl-UN/U3Si2 accident tolerant fuel under loss-of-coolant accident scenario," Reliability Engineering and System Safety, Elsevier, vol. 243(C).

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