Response analysis of non-Gaussian randomly excited systems via minimum cross entropy method
Author:
Affiliation:
1. Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology
Publisher
Japan Society of Mechanical Engineers
Link
https://www.jstage.jst.go.jp/article/transjsme/82/835/82_15-00528/_pdf
Reference20 articles.
1. Baba, Y., Tsuchida, T. and Kimura, K., Response distribution of nonlinear systems subjected to non-Gaussian random excitation using Gaussian mixture model, Transactions of the JSME (in Japanese), Vol.81, No.823 (2015), DOI:10.1299/transjsme.14-00632.
2. Bitner, E.M., Non-linear effects of the statistical model of shallow-water wind waves, Applied Ocean Research, Vol.2, No.2 (1980), pp.63-73.
3. Cai, G.Q. and Lin, Y.K., Generation of non-Gaussian stationary stochastic processes, Physical Review. E, Vol.54, No.1 (1996), pp.299-303.
4. Cai, G.Q. and Lin, Y.K., An improved equivalent linearization procedure for non-linear systems under bounded random excitations, Structural Control and Health Monitoring, Vol.13, No.1 (2006), pp.336-346.
5. Caughey, T.K., Derivation and application of the Fokker-Planck equation to discrete nonlinear dynamics systems subjected to white random excitation, The Journal of Acoustical Society of America, Vol.35, No.11 (1963), pp.1687-1692.
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