Kriging-Based Surrogate Modeling for Rotordynamics Prediction in Rotor-Bearing System

Author:

Barbosa Mateus P. F.,Alves William M.

Publisher

Springer International Publishing

Reference23 articles.

1. Wu, X., Wang, C., Kozlowski, T.: Kriging-based surrogate models for uncertainty quantification and sensitivity analysis. Presented at the International Conference on Mathematics and Computational Methods Applied to Nuclear Science & Engineering, Korea (2017)

2. Viana, F.A.C., Simpson, T.W., Balabanov, V., Toropov, V.: Metamodeling in multidisciplinary design optimization: how far have we really come? AIAA J. 52(4), 670–690 (2014)

3. Yu, J.J.: Dynamic analysis of rotor-bearing systems using three-dimensional solid finite elements. Dissertation, University of Alberta (1997)

4. Lalanne, M., Ferraris, G.: Rotordynamics Prediction in Engineering, 2nd edn. Wiley, New York (1999)

5. Friswell, M.I., Penny, J.E.T., Garvey, S.D., Lees, A.W.: Dynamics of Rotating Machines. Cambridge University Press, New York (2010)

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