• Bridge health monitoring system based on vibration measurements 

      Ntotsios, E.; Papadimitriou, C.; Panetsos, P.; Karaiskos, G.; Perros, K.; Perdikaris, P. (2009)
      A bridge health monitoring system is presented based on vibration measurements collected from a network of acceleration sensors. Sophisticated structural identification methods, combining information from the sensor network ...
    • Component mode synthesis techniques for finite element model updating 

      Papadimitriou, C.; Papadioti, D. C. (2013)
      Deterministic and Bayesian finite element (FE) model updating techniques are computationally very demanding operations due to the large number of FE model re-analyses required. Component mode synthesis techniques are ...
    • Fault detection and optimal sensor location in vehicle suspensions 

      Metallidis, P.; Verros, G.; Natsiavas, S.; Papadimitriou, C. (2003)
      A statistical system identification methodology is applied for performing parametric identification and fault detection studies in nonlinear vehicle systems. The vehicle nonlinearities arise due to the function of the ...
    • Pareto optimal sensor locations for structural identification 

      Papadimitriou, C. (2005)
      Theoretical and computational issues arising in the selection of the optimal sensor configuration for parameter estimation in structural dynamics are addressed. The objective is to optimally locate sensors in the structure ...
    • Structural identification based on optimally weighted modal residuals 

      Christodoulou, K.; Papadimitriou, C. (2007)
      The structural parameter estimation problem based on measured modal data is often formulated as a weighted least-squares problem in which modal residuals measuring the fit between experimental and model predicted modal ...
    • Structural model updating and prediction variability using Pareto optimal models 

      Christodoulou, K.; Ntotsios, E.; Papadimitriou, C.; Panetsos, P. (2008)
      A multi-objective identification method for structural model updating based on modal residuals is presented. The method results in multiple Pareto optimal structural models that are consistent with the experimentally ...