Model reduction-based Bayesian updating of non-classically damped systems using modal data from multiple setups
Author:
Funder
University of Diyala
Science and Engineering Research Board, Government of India
Aeronautics Research and Development Board
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00707-023-03819-5.pdf
Reference60 articles.
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2. Mottershead, J.E., Friswell, M.I.: Model updating in structural dynamics: A survey. J. Sound Vib. 167, 347–375 (1993). https://doi.org/10.1006/jsvi.1993.1340
3. Jensen, H.A., Millas, E., Kusanovic, D., Papadimitriou, C.: Model-reduction techniques for Bayesian finite element model updating using dynamic response data. Comput. Methods Appl. Mech. Eng. 279, 301–324 (2014). https://doi.org/10.1016/j.cma.2014.06.032
4. Patelli, E., Govers, Y., Broggi, M., Gomes, H.M., Link, M., Mottershead, J.E.: Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data. Arch. Appl. Mech. 87, 905–925 (2017). https://doi.org/10.1007/s00419-017-1233-1
5. Ni, P., Li, J., Hao, H., Han, Q., Du, X.: Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling. Comput. Methods Appl. Mech. Eng. 383, (2021). https://doi.org/10.1016/j.cma.2021.113915.
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