• DocumentCode
    2187545
  • Title

    An interdependent infrastructure risk analysis framework using parallel and distributed simulation

  • Author

    Gu, Yan ; Li, Yue

  • Author_Institution
    Dept. of Comput. Sci., North Dakota State Univ., Fargo, ND, USA
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    2945
  • Lastpage
    2945
  • Abstract
    Summary form only given. A system-based risk simulation and analysis methodology is needed to evaluate the vulnerability of interdependent infrastructure systems in order to increase the system resilience, reduce the probability of system failure and consequences of such failure, and reduce time to system recovery. These interdependent infrastructure systems are usually highly interconnected, mutually dependent on multiple levels and may be subjected to a spectrum of natural hazards. Although research has been performed in the area of infrastructure interdependency modeling and analysis, not enough work has been done to address the issues of simulating the interdependent infrastructure systems efficiently at a large scale and quantitatively characterize the impact and risks of multiple natural hazards on these interdependent systems. In this paper a risk assessment framework is proposed to model interdependent infrastructure using parallel and distributed simulation and probabilistic hazard models to characterize the impact of the occurrence and intensity of various disasters.
  • Keywords
    civil engineering computing; health hazards; risk management; consequences probability; distributed simulation; interdependent infrastructure risk analysis; natural hazards; parallel simulation; risk assessment; system failure probability; system recovery; system-based risk simulation; Analytical models; Computational modeling; Computer science; Computer simulation; Failure analysis; Hazards; Neodymium; Resilience; Risk analysis; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2008. WSC 2008. Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2707-9
  • Electronic_ISBN
    978-1-4244-2708-6
  • Type

    conf

  • DOI
    10.1109/WSC.2008.4736435
  • Filename
    4736435