Browsing by Author "Lombaert, G."
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The effect of prediction error correlation on optimal sensor placement in structural dynamics
Papadimitriou, C.; Lombaert, G. (2012)The problem of estimating the optimal sensor locations for parameter estimation in structural dynamics is revisited. The effect of spatially correlated prediction errors on the optimal sensor placement is investigated. ... 
Estimation of the prediction error correlation model in bayesian model updating
Simoen, E.; Papadimitriou, C.; Lombaert, G. (2013)In Bayesian model updating, probability density functions of model parameters are updated accounting both for the information contained in the data and for uncertainties present in the measurements and model predictions, ... 
Hierarchical Bayesian model updating for structural identification
Behmanesh, I.; Moaveni, B.; Lombaert, G.; Papadimitriou, C. (2015)A new probabilistic finite element (FE) model updating technique based on Hierarchical Bayesian modeling is proposed for identification of civil structural systems under changing ambient/environmental conditions. The ... 
Influence of the prediction error correlation model on Bayesian FE model updating results
Simoen, E.; Papadimitriou, C.; De Roeck, G.; Lombaert, G. (2012)Bayesian finite element (FE) model updating is a probabilistic method for uncertainty quantification in FE model updating, where the wellknown Bayes' theorem is used to update probability density functions of model ... 
Joint estimation of states and input in linear structural dynamics
Lourens, E. M.; Lombaert, G.; Papadimitriou, C.; De Roeck, G. (2011)The problem of jointly estimating the input forces and states of a structure from a limited number of acceleration measurements is addressed. Utilizing a modelbased joint inputstate estimation algorithm originally developed ... 
Joint inputresponse estimation for structural systems based on reducedorder models and vibration data from a limited number of sensors
Lourens, E.; Papadimitriou, C.; Gillijns, S.; Reynders, E.; De Roeck, G.; Lombaert, G. (2012)An algorithm is presented for jointly estimating the input and state of a structure from a limited number of acceleration measurements. The algorithm extends an existing joint inputstate estimation filter, derived using ... 
Joint inputresponse predictions in structural dynamics
Lourens, E. M.; Lombaert, G.; Papadimitriou, C. (2011)The problem of jointly estimating the input forces and states of a structure from a limited number of acceleration measurements is adressed. Utilizing a modelbased joint inputstate estimation algorithm originally developed ... 
On prediction error correlation in Bayesian model updating
Simoen, E.; Papadimitriou, C.; Lombaert, G. (2013)In Bayesian model updating, probability density functions of model parameters are updated accounting both for the information contained in the data and for uncertainties present in the measurements and model predictions, ... 
Prediction of fatigue damage accumulation in metallic structures by the estimation of strains from operational vibrations
Papadimitriou, C.; Lourens, E. M.; Lombaert, G.; De Roeck, G.; Liu, K. (2012)This work deals with the problem of estimating damage accumulation due to fatigue in the entire body of a metallic structure using operational vibration measurements collected from a limited number of sensors installed on ...