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Auflistung Nach Schlagwort "Model parameter estimation"

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    • Bayesian finite element model updating 

      Jensen H., Papadimitriou C. (2019)
      In this chapter, the implementation of the reduced-order models within Bayesian finite element model updating is explored. The Bayesian framework for model parameter estimation, model selection, and robust predictions of ...

    • Bayesian optimal experimental design using asymptotic approximations 

      Argyris C., Papadimitriou C. (2017)
      Bayesian optimal experimental design (OED) tools for model parameter estimation and response predictions in structural dynamics include sampling (Huan and Marzouk, J. Comput. Phys., 232:288–317, 2013) and asymptotic ...

    • Optimal sensor location for model parameter estimation in CFD 

      Papadimitriou, D. I.; Papadimitriou, C. (2013)
      In this paper the optimal sensor location problem for the estimation of model parameters in computational fluid dynamics is presented. A Bayesian formulation is used to quantify the uncertainties in the model parameters ...

    • Robust Bayesian optimal sensor placement for model parameter estimation and response predictions 

      Ercan T., Koumoutsakos P., Papadimitriou C. (2020)
      Optimal sensor placement (OSP) in complex systems implies a configuration that maximizes the information gain by the sensors. This configuration is identified by maximizing, with respect to the location of the sensors, an ...