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Discussions on the relative accuracy of identified natural frequency and mode shape and their relative significance in the model updating process have been made via processing the vibration data through the Fast Bayesian FFT modal identification method.
A preliminary model updating process was applied to define the boundary conditions and initial material properties.
The real application to a full-size bridge has demonstrated that the FE model updating process is efficient and convenient.
The model updating process using the developed sampling scheme can be terminated once the user defined confidence target is satisfied.
This variability propagates through the FE model updating process and therefore yields uncertainty in the FE model updating results.
The structural stiffness parameters in the intact state and damaged state are, respectively, derived with a two-stage model updating process.
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In our case, due to the significant biological variations existing among blueberry samples, the classifier required frequent updates in practical applications, and the active learning algorithms could remarkably reduce label effort during the model updating processes.
Three variants of online ELM are utilized in the model update process for comparison.
The system model and model update process is introduced in Sect. 4. In the following Sect.
We then analyze the reason for model drift during the model update process, and propose a new model updating method under a PF.
Further, in order to avoid errors caused by model drift, the updating process should only be implemented in a reliable manner, and the rate of updating can be controlled according to this reliability.
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