Validation of joint input-state estimation for force identification and response estimation in structural dynamics
Abstract »This paper presents a validation of a recently developed joint input-state estimation algorithm for force identification and response estimation in structural dynamics, using data obtained from in situ experiments on a footbridge. First, the algorithm is used to identify two impact forces applied to the bridge deck. Next, the algorithm is used to extrapolate measured accelerations due to wind loading to unmeasured locations in the structure. The dynamic model of the footbridge used in the system inversion is obtained from a detailed finite element model, that is calibrated using a set of experimental modal characteristics. The quality of the estimated forces and accelerations is assessed by comparison with the corresponding measured quantities. In both cases, a very good overall agreement is obtained.
Biography: Kristof Maes holds MSc (2011) and PhD (2016) degrees in Civil Engineering from the KU Leuven, Belgium. His PhD research focused on the application of filtering techniques for force identification and response estimation in structural dynamics.
Affiliation: KU Leuven 3001 Leuven BelgiumLourens, Eliz-MariLourens, Eliz-Mari email@example.com +31(0)152787568
Biography: Eliz-Mari Lourens graduated from the Faculty of Civil Engineering of the University of Stellenbosch, South Africa, in 2006. In 2012, she received a PhD degree for her work on dynamic force identification from the KU Leuven, Belgium. She is currently employed as Assistant Professor at the Faculty of Civil Engineering and Geosciences of Delft University of Technology. Since 2014, she additionally holds the position of Assistant Editor for the Journal of Sound and Vibration.
Affiliation: Delft University of Technology Faculty of Civil Engineering and Geosciences 2628CN Delft NetherlandsRezayat, AliRezayat, Ali