Mechanical and structural systems often implement a structural integrity program to monitor and sustain structural reliability throughout the service life. To properly consider uncertainty and variability, one commonly used decision tool is probabilistic risk assessment that incorporates probabilistic damage accumulations, damage detections, mitigation actions, and expected costs of maintenance and failure consequences. Given the wide spectrum of maintenance options and the increasing complexities in high-fidelity modeling, the implementation of RBMO can be very challenging and, computationally, only random simulations can provide flexible and robust simulation capabilities. This paper describes an efficient random simulation based RBMO computational approach built on a two-stage maintenance simulation framework and featuring (1) a MCMC-based failure sample generator, (2) an Adaptive Stratified Importance Sampling (ASIS) method for computing probability of failure with error control, and (3) an on-demand series-system failure samples generator that uses component samples. Several demonstration examples are included.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    MCMC-Based Simulation Method for Efficient Risk- Based Maintenance Optimization


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE World Congress & Exhibition ; 2009



    Erscheinungsdatum :

    2009-04-20




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    MCMC-based simulation method for efficient risk-based maintenance optimization

    Wu,Y.T. / Applied Res.Ass.,US | Kraftfahrwesen | 2009


    2009-01-0566 MCMC-Based Simulation Method for Efficient Risk-Based Maintenance Optimization

    Wu, Y.-T. / Society of Automotive Engineers | British Library Conference Proceedings | 2009


    Stereo Matching Using Population-Based MCMC

    Kim, W. / Park, J. / Lee, K. M. | British Library Online Contents | 2009


    Stereo Matching Using Population-Based MCMC

    Park, Joonyoung / Kim, Wonsik / Lee, Kyoung Mu | Springer Verlag | 2007


    Reliability Estimation Using MCMC Based Tail Modeling

    Acar, Erdem / Bayrak, Gamze | AIAA | 2016