Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study
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- 作者：D. Maljoveca ; maljovec@cs.utah.edu" class="auth_mail" title="E-mail the corresponding author ; S. Liua ; B. Wanga ; D. Mandellib ; P.-T. Bremerc ; V. Pascuccia ; C. Smithb
- 关键词：Probabilistic risk assessment ; Computational topology ; Clustering ; High-dimensional data analysis
- 刊名：Reliability Engineering & System Safety
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：145
- 期：Complete
- 页码：262-276
- 全文大小：12297 K
文摘
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We analyze the safety margins associated to simulations of BWR station blackout.
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We present an integrated visualization framework for viewing analysis results.
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Employing the use of two complementary clusterings reveals complex structure.
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Hierarchical clustering groups points with similar parameter settings.
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Topological clustering finds areas in the input domain with similar gradient flow.