Abstract
The method of statistical linearization, which has been extensively applied to obtain estimates of the stationary statistics of randomly excited non-linear systems, is here applied to systems with parametric uncertainties under random excitation. In the present study, the stochastic parameters are not limited to Gaussians and can have arbitrary densities. Although the procedure can be used for multiple-degree-of-freedom systems, illustrative examples are presented for one- and two-degree-of-freedom systems. Comparison with Monte Carlo simulation indicates that the method does indeed provide an efficient tool for estimating the response characteristics of such non-linear systems.
Original language | English (US) |
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Pages (from-to) | 547-563 |
Number of pages | 17 |
Journal | International Journal of Non-Linear Mechanics |
Volume | 27 |
Issue number | 4 |
DOIs | |
State | Published - Jul 1992 |
ASJC Scopus subject areas
- Mechanics of Materials
- Mechanical Engineering
- Applied Mathematics