32 research outputs found

    Failure probability estimation of functions with binary outcomes via adaptive sequential sampling

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    the Czech Science Foundation under project no. 22-06684

    Probabilistic analysis of a coal mine roadway including correlation control between model input parameters

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    Probabilistic analysis and numerical modelling techniques have been combined to analyse a deep coal mine roadway. Using the Monte Carlo method, a correlation control algorithm and a FLAC 2D finite difference model, a probability distribution of roof displacements has been calculated and compared to a set of measurements from an actual mine roadway. The importance of correlation between input parameters is also considered. The results show that the analysis performs relatively well, but does tend to over predict the magnitude of displacements. Correlation between parameters is shown to be very important, particularly between the three model stresses

    Failure probability estimation of functions with binary outcomes via adaptive sequential sampling

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    the Czech Science Foundation under project no. 22-06684

    Energetic-statistical size effect simulated by SFEM with stratified sampling and crack band model

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    10.1002/nme.1986International Journal for Numerical Methods in Engineering71111297-1320IJNM
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