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Surrogate-based Bayesian Inversion for the Model Calibration of Fire Insulation Panels
(2018)We outline an approach for the calibration of a finite element model (FEM) by using a full Bayesian inference approach. The considered FEM describes the heat transfer in insulation when exposed to fire, it uses so-called temperature dependent effective material parameters. These parameters are required for applying the improved component additive method to determine the fire resistance of e.g. timber frame assemblies. After setting up the ...Other Conference Item