Searched for: author%3A%22Lombaert%2C+G.%22
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Maes, K (author), de Roeck, G (author), Lombaert, G (author), van Nimmen, K (author), Lourens, E. (author), Rezayat, A (author), Guillaume, P (author)
This paper presents a verification of a state-of-the-art joint input-state estimation algorithm using data obtained from in situ experiments on a footbridge. A dynamic model of the footbridge is based on <br/>a detailed finite element model that is calibrated using a set of experimental modal characteristics. The joint input-state estimation...
conference paper 2016
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Maes, K. (author), Lourens, E. (author), Van Nimmen, K. (author), Reynders, E. (author), Van den Broeck, P. (author), Guillaume, P. (author), De Roeck, G. (author), Lombaert, G. (author)
An existing joint input-state estimation algorithm is extended for applications in structural dynamics. The estimation of the input and the system states is performed in a minimum-variance unbiased way, based on a limited number of response measurements and a system model. An additional method is proposed to identify the noise statistics, which...
conference paper 2013
document
Maes, K (author), Lourens, E. (author), van Nimmen, K (author), van den Broeck, P (author), Guillaume, P (author), de Roeck, G (author), Lombaert, G (author)
An existing joint input-state estimation algorithm is extended for applications in<br/>structural dynamics. The estimation of the input and the system states is performed in a minimum-variance unbiased way, based on a limited number of response<br/>measurements and a system model. The noise statistics are estimated, as they are<br/>essential for...
conference paper 2013