Abstract
Many situations occur in engineering in which the loading on structures and the resulting response are random. In the design of these structures it is important that the maximum stresses and fatigue life can be predicted and, for this purpose, it is necessary to employ probabilistic techniques to characterise the statistical properties of the response. For the situation when the system is linear and the excitation is Gaussian, the response statistics are well-known [1]. However, most engineering structures are nonlinear to some extent and these nonlinearities can have a significant influence on the response statistics of the system. This is especially the case at the “tails” of the response distribution which are used to predict the probability of failure.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lin, Y.K. Probabilistic Theory of Structural Dynamics, McGraw-Hill, New York (1967).
Lin, Y.K. and Cai, G.Q. Probabilistic Structural Dynamics: Advanced theory and applications, McGraw-Hill, Singapore (1995).
Roberts, J.B. A shochastic theory for nonlinear ship rolling in irregular seas, J Ship Research, 26(4),229 (1982).
Bhandari, R.G. and Sherrer, R.E. Random vibrations in discrete nonlinear dynamical systems, Journal of Mechanical Engineering Science, 10, 168 (1968).
Wojtkiewicz, S.F., Bergman, L.A., and Spencer, B.F.Numerical solution of some three-state random vibration problems, Vibration of nonlinear,random, and time-varying systems, S.C. Sinha, et al., eds, ASME DE-84–1, 939–947 (1995).
Naess, A. and Johnsen, J.M. Response statistics of nonlinear, compliant offshore structures by the path integral solution method, Probabilistic Engineering Mechanics, 8, 91 (1993).
Dunne, J and Ghanbari,Journal of Sound and Vibration, 206(5), 697–724 (1997).
Schueller, G.I., A State-of-the-art report on computational stochastic mechanics, Probabilistic Engineering Mechanics, 12(4), 197–321 (1997).
Hoffman, D.K., Nayer, N., Sharafeddin, O.A., and Kouri, D.J. Analytic banded approximation for the discretised free propagator, J. Phys. Chem., 95, 8299 (1991).
Hoffman, D.K., and Kouri, D.J. Distributed approximating Function theory: A general, fully quantal approach to wave propagation, J Phys. Chem., 96, 1179 (1992).
Zhang, D.S., Wei, G.W., Kouri, D.J., and Hoffman, D.K. Numerical method for the nonlinear Fokker-Planck equation, Physical Review E, 56, 1 (1997).
Davenport, W.B., and Root, W.L. An introduction to the theory of random signals and noise, IEEE Press (1987).
Knappett, DJ Response statistics of nonlinear systems, Internal report, Department of Mechanical Engineering, University of Nottingham, U.K. (1998).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Mcwilliam, S. (2001). Numerical Solution of the Stationary FPK Equation for A Nonlinear Oscillator. In: Narayanan, S., Iyengar, R.N. (eds) IUTAM Symposium on Nonlinearity and Stochastic Structural Dynamics. Solid Mechanics and its Applications, vol 85. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0886-0_12
Download citation
DOI: https://doi.org/10.1007/978-94-010-0886-0_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-3808-9
Online ISBN: 978-94-010-0886-0
eBook Packages: Springer Book Archive