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Model updating procedures are traditionally performed off-line.
Model updating procedures are applied in order to improve the matching between experimental data and corresponding model output.
Applied to the magnetic core׳s finite-element model of a real laminated electric machine stator, the method enables simulating the experimental behaviour with good accuracy, without need of time-consuming model updating procedures.
The sensitivity-based parameter updating method was applied and some important issues such as selection of reference data and model parameters, and model updating procedures on the multi-scale model were investigated based on the sensitivity analysis of the selected model parameters.
The use of longitudinal follow-up data in conjunction with model updating procedures, such as the Bayesian estimation procedure described here, will allow an analytical framework to achieve this objective.
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A strategy for including axial load effects in a model updating procedure is developed.
The hybrid genetic/pattern-search optimization algorithm is adopted to perform the dynamic FE model updating procedure.
A robust finite element model updating procedure is then presented for the detection of cracks in beams.
It can also be used during the iterations of a model updating procedure based on measured frequency response functions.
The features used in the model updating procedure are the identified modal frequencies from operational acceleration measurements.
In this paper, a response surface-based FE model updating procedure for civil engineering structures in structural dynamics is presented.
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