Model updating in structural dynamics a survey
07-Dec-2019 18:30
Firstly, the mathematical relationship between the updating parameters and the output interesting qualities is created based on the copula approach and the vast samples of inputs and outputs are obtained by the Monte Carlo (MC) sampling technology according to the copula model.Secondly, the samples of updating parameters are rechosen by combining the copula model and the experiment intervals of the interesting qualities.In order to improve the accuracy of FE simulating to serve the structural design better, the FE model updating techniques are needed to develop.In the past few decades, various kinds of FE model updating approaches have been widely investigated based on the actually observed behaviors of the system.In reality, there are always uncertainties in nominally identical structures, such as the structural parameter uncertainty (physical material properties, geometric parameters), the assembly joints uncertainty, and the experiment uncertainty (measurement noise, modal identification techniques, etc.).As a result, the FE model updating approaches with uncertainty have received great attentions recently.
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A FE model updating approach in structural dynamics with interval uncertain parameters is proposed in this work.Next, 95% confidence intervals of updating parameters are calculated by the nonparameter kernel density estimation (KDE) approach, which is regarded as the intervals of updating parameters.
