engleski

Fracture parameter identification with Bayesian framework and discrete embedded strong discontinuity model

Identification of fracture parameters represents a challenging task since these parameters are strongly influenced with the microstructural defects and heterogeneities. Moreover, sophisticated fracture models cannot provide reliable responses with unreliable choice of parameters. In this work, we present the identification of parameters by solving an inverse problem using Bayesian statistical inference

parameter identification ; Bayesian framework ; embedded strong discontinuity

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