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  • 标题:Efficient Bayesian networks for slope safety evaluation with large quantity monitoring information
  • 本地全文:下载
  • 作者:Xueyou Li ; Limin Zhang ; Shuai Zhang
  • 期刊名称:Geoscience Frontiers
  • 印刷版ISSN:1674-9871
  • 出版年度:2018
  • 卷号:9
  • 期号:6
  • 页码:1679-1687
  • DOI:10.1016/j.gsf.2017.09.009
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractNew sensing and wireless technologies generate massive data. This paper proposes an efficient Bayesian network to evaluate the slope safety using large-quantity field monitoring information with underlying physical mechanisms. A Bayesian network for a slope involving correlated material properties and dozens of observational points is constructed.Graphical abstractDisplay OmittedHighlights•New sensing and wireless technologies generate massive monitoring data.•This paper proposes an efficient Bayesian network to evaluate the slope safety.•Large-quantity field monitoring information is integrated in the evaluation.•A Bayesian network for a slope involving correlated properties is constructed.•The value of information has also been evaluated in the Bayesian network.
  • 关键词:KeywordsenSlope reliabilityMonitoring informationBayesian networksRisk managementValue of informationBig data
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