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One possible way of applying this idea to ballast damage detection is to employ a model updating approach.
A continuous model updating approach based on real-time monitoring data is developed and applied to all the three techniques mentioned above.
A sensitivity-based model updating approach is developed incorporating the proposed anisotropic model and the estimated uniform load surface curvature from vibration measurements to identify the damage variables.
In the inverse analysis, a response sensitivity-based finite element model updating approach is used to identify local damages of the plate in time domain.
A sensitivity-based model updating approach is applied to identify the local damages by minimizing the difference between the measured response and the reconstructed response.
The experimental results are given primacy, and then the model must be modified by trial and error methodologies of model updating approach.
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A multi-scale finite element model (FEM) updating approach is presented for conducting safety evaluation.
Moreover, there will be no disarray between a company's short-term model and the input prior model of the updating approach; the integration will be smooth.
A Markov Chain Monte Carlo (MCMC) simulation method is used to estimate unknown model parameters in the context of a Bayesian updating approach.
Suitable transformations and normalizations are applied to these intensities, and the Bayesian updating approach is employed to construct a probability model.
The present work deals with the determination of the newly discovered conditions necessary for model updating with the eigensensitivity approach.
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