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Elementary Analysis of the Quality Assurance for Probabilistic Safety Analysis

[+] Author Affiliations
Yin Xiong, Shengqiang Li, Yalei Hao, Shengyao Jiang

Tsinghua University, Beijing, China

Paper No. ICONE21-15288, pp. V002T03A007; 10 pages
doi:10.1115/ICONE21-15288
From:
  • 2013 21st International Conference on Nuclear Engineering
  • Volume 2: Plant Systems, Construction, Structures and Components; Next Generation Reactors and Advanced Reactors
  • Chengdu, China, July 29–August 2, 2013
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 978-0-7918-5579-9
  • Copyright © 2013 by ASME

abstract

The quality of Probabilistic Safety Assessments (PSA), frequently named as probabilistic risk assessment (PRA), is one of the core issues in advanced nuclear power plant applications. Although numerous guidance and regulations have been provided to enhance the PSA quality, the inherent uncertainty of current PSA and project management process still make it to be puzzled. Based on the implementation of current PSA development status and limitation, a new integral model accounting for interrelated economic, health, security, quality, environmental and economic matters as well as quality attributes is proposed in this article. We aim to provide a new idea for other investigators and hope it can be help to further enhance the quality of PSA in industrial applications.

Copyright © 2013 by ASME

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