• DocumentCode
    2512520
  • Title

    Life Loss Evaluation of Dam Failure Based on VOF Method

  • Author

    Luo Jia-Qian ; Huang Ling ; Sun Yue-feng ; Wang Xiao-ling ; An Juan ; Li Tao

  • Author_Institution
    Sch. of Civil Eng., Tianjin Univ., Tianjin, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The life loss model of dam failure based on standard k-epsiv model coupled with the volume of fluid (VOF) method is studied in this paper. The improved Graham method is adopted to estimate the life loss of dam failure. The Gongming reservoir in Shenzhen city is taken as a case study. The calculated life loss is between 7970 to 10504 in the situation of no warning and very fuzzy public comprehension degree which is extremely serious; between 2031 to 3395 in the situation of no warning and very clear public comprehension degree; between 1335 to 2217 in the situation of full warning and very fuzzy public comprehension degree; and between 5 to 13 in the situation of full warning and very clear public comprehension degree. The results indicates that warning and public comprehension degree have a great impact on life loss. Research results can offer decision basis for accident warning and disaster prevention and reduction.
  • Keywords
    condition monitoring; dams; disasters; failure (mechanical); life testing; maintenance engineering; reservoirs; Gongming reservoir; Graham method; Shenzhen city; VOF method; accident warning; dam failure; disaster prevention; fuzzy public comprehension degree; life loss evaluation; Differential equations; Floods; Kinetic energy; Life estimation; Mathematical model; Numerical simulation; Reservoirs; Routing; Safety; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163014
  • Filename
    5163014