• DocumentCode
    2417871
  • Title

    Evaluating the reliability of infrastructure networks by resilience analysis

  • Author

    Lam, C.Y. ; Tai, K.

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    1165
  • Lastpage
    1169
  • Abstract
    Infrastructure networks are highly interrelated to the prosperity, security, economy, and public health of the modern world. As such, any disruption in the infrastructure network poses a significant damage to society, therefore this paper presents a resilience analysis approach to evaluate the reliability of infrastructure networks so as to quantitatively determine the ability of a network to cope with complexity under disruption as well as to develop foresight in safety management. Under resilience analysis, an infrastructure network is modeled as an undirected graph with nodes and edges, and the resilience of the whole network can then be evaluated by the weighted sum of the resilience of all the reliable independent connection paths between all pairs of nodes. The proposed approach is also illustrated in a portion of a rail network, and the results indicate that the ability of the network to cope with complexity under disruption can be explicitly known.
  • Keywords
    graph theory; network theory (graphs); railways; reliability; independent connection paths; infrastructure network reliability evaluation; quantitative analysis; rail network; resilience analysis approach; safety management; undirected graph edges; undirected graph nodes; Complexity theory; Rails; Resilience; Security; Telecommunication network reliability; Transportation; Infrastructure; Network Theory; Reliability; Resilience Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6837926
  • Filename
    6837926