Characterization of the dynamic behavior of structures using the Kriging surrogate and experimental data
Author:
Funder
Petrobras
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Computational Mechanics
Link
https://link.springer.com/content/pdf/10.1007/s00707-023-03631-1.pdf
Reference46 articles.
1. Qin, S., Zhang, Y., Zhou, Y.L., Kang, J.: Dynamic model updating for bridge structures using the kriging model and PSO algorithm ensemble with higher vibration modes. Sensors (Switzerland) 18(6), 1879 (2018). https://doi.org/10.3390/s18061879
2. Cook, R.D., Malkus, D.S., Plesha, M.E., Witt, R.J.: Concepts and Applications of Finite Element Analysis, 4th edn. Wiley, Hoboken (2002)
3. Mottershead, J.E., Link, M., Friswell, M.I.: The sensitivity method in finite element model updating: a tutorial. Mech. Syst. Signal Process. 25(7), 2275–2296 (2011). https://doi.org/10.1016/j.ymssp.2010.10.012
4. Kim, S., Kim, N., Park, Y.S., Jin, S.S.: A sequential framework for improving identifiability of Fe model updating using static and dynamic data. Sensors (Switzerland) (2019). https://doi.org/10.3390/s19235099
5. Zhou, L., Wang, L., Chen, L., Ou, J.: Structural finite element model updating by using response surfaces and radial basis functions. Adv. Struct. Eng. 19(9), 1446–1462 (2016). https://doi.org/10.1177/1369433216643876
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