• DocumentCode
    2963309
  • Title

    Research on Monitoring-Based Risk Management of Deep Excavation Engineering

  • Author

    Liu Jun-yan ; Ren Feng ; Liu Yan

  • Author_Institution
    Sch. of Civil Eng. & Archit., Univ. of Jinan, Jinan, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    According to the study on risk identification, risk estimation, risk assessment and risk control of monitoring-based deep excavation engineering, a set of feasible risk management system of deep excavation engineering is built up in this paper. The expert surveys method (including Delphi), fault tree analysis, checklist are used in identifying risk factors in deep excavation engineering. The risk estimation method of deep excavation engineering based on subjective estimation is proposed. This paper has established a monitoring-based risk assessment system on deep excavation engineering, including the standards of risk probability classification and risk loss level, the risk assessment matrix, the risk acceptance criteria and risk levels. The relationship between risk level and monitoring level is set up. The risk control method on risk tracking and risk early warning is put forward.
  • Keywords
    condition monitoring; excavators; fault trees; geotechnical engineering; probability; risk management; Delphi; fault tree analysis; monitoring-based deep excavation engineering; monitoring-based risk assessment; monitoring-based risk management; risk acceptance criteria; risk assessment matrix; risk control; risk early warning; risk estimation; risk factor; risk identification; risk loss level; risk management system; risk probability classification; risk tracking; Accidents; Buildings; Estimation; Fault trees; Monitoring; Risk management; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5998174
  • Filename
    5998174