شماره ركورد كنفرانس :
3254
عنوان مقاله :
Comparative Investigation of Uncertainty Analysis with Different Methodologies on Fatigue Data of Rebars
Author/Authors :
Sima Rastayesh Department of Civil Engineering - Aalborg University, Aalborg, Denmark , Amol Mankar Department of Civil Engineering - Aalborg University, Aalborg, Denmark , John ِِDalsgaard Sorensen Department of Civil Engineering - Aalborg University, Aalborg, Denmark
كليدواژه :
Uncertainty , Maximum Likelihood Method , Bootstrap , Bayesian inference , Reinforcement Concrete
عنوان كنفرانس :
پنجمين كنفرلنس بين المللي قابليت اطمينان و ايمني
چكيده لاتين :
Stochastic modeling of uncertainties for fatigue strength parameters is vital step as basis for reliability analyses. In this paper, the Maximum Likelihood Method (MLM) is used for fitting the statistical parameters in a regression model for the fatigue strength. Furthermore, application of the Bootstrap method is investigated. The results indicate that the latter methodology does not work well in the considered case study because of runout tests within the test data. Moreover, use of Bayesian inference with Markov Chain Monto Carlo implementation is studied. These results indicate reduction in the uncertainty and thus better parameter estimations.
