TY - CONF A1 - Jafari, Abbas A1 - Titscher, Thomas A1 - Chatzi, E. A1 - Unger, Jörg F. T1 - Stochastic parameter estimation of a gradient-enhanced damage material model of concrete using variational Bayesian inference N2 - A gradient-enhanced damage material model for concrete simulated by means of the finite element (FE) method is calibrated with respect to important parameters of the involved constitutive law by using the Variational Bayesian method. T2 - UNCECOMP - 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering CY - Online meeting DA - 28.06.2021 KW - Stochastic model updating KW - Variational Bayesian KW - Gradient-enhanced damage KW - Concrete PY - 2021 AN - OPUS4-54034 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Jafari, Abbas A1 - Titscher, Thomas A1 - Chatzi, E. A1 - Unger, Jörg F. T1 - Variational Bayesian inference of a gradient-enhanced damage material model N2 - A finite element model is calibrated in terms of parameters of the constitutive law; namely the gradient damage model. The method of Variational Bayesian is used for this purpose. The study has been done based on synthetic data. T2 - YIC Young Investigators Conference CY - Online meeting DA - 07.07.2021 KW - Stochastic inference KW - Material model updating KW - Variational Bayesian KW - Gradient-enhanced damage PY - 2021 UR - https://yic2021.upv.es/ AN - OPUS4-54033 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -