• Bayesian uncertainty quantification and propagation using adjoint techniques 

      Papadimitriou, C.; Papadimitriou, D. I. (2014)
      This paper presents the Bayesian inference framework enhanced by analytical approximations for uncertainty quantification and propagation and parameter estimation. A Gaussian distribution is used to approximate the posterior ...
    • Bayesian uncertainty quantification of turbulence models based on high-order adjoint 

      Papadimitriou, D. I.; Papadimitriou, C. (2015)
      The uncertainties in the parameters of turbulence models employed in computational fluid dynamics simulations are quantified using the Bayesian inference framework and analytical approximations. The posterior distribution ...
    • On the forward in time solution of the unsteady adjoint equations 

      Papadimitriou, D. I. (2014)
      A new algorithm for the solution of the unsteady adjoint equations is proposed in this paper aiming at overcoming the excessive computational cost and memory requirements of the conventional adjoint approach for the ...
    • 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 reliability-based aerodynamic shape optimization 

      Papadimitriou, D. I.; Papadimitriou, C. (2014)
      This paper presents a methodology for robust and reliable shape optimization of aerodynamic bodies under uncertainties. The mean value and standard deviation of the drag coefficient objective function with respect to flow ...
    • Structural optimization of a wing body with uncertain aerodynamic loads 

      Papadimitriou, D. I.; Papadimitriou, C. (2015)
      An algorithm for the structural optimization of wing body structures is presented in this paper. The structural analysis for the computation of displacements and stresses within the wing body is based on a finite volume ...
    • Uncertainty propagation for robust aerodynamic shape optimization 

      Papadimitriou, D. I.; Papadimitriou, C. (2014)
      Three algorithms for uncertainty propagation and robust aerodynamic optimization are presented in this paper. The perturbation method based on first and second-order Taylor expansion, the asymptotic expansion based on ...