A power series method is presented for the computation of normal modes and frequencies of an elastic beam resting on a non-linear foundation. The equation of motion is first discretized by using the Galerkin procedure. The time-dependent generalized co-ordinates are obtained by transforming the time
NON-LINEAR NORMAL MODES AND NON-PARAMETRIC SYSTEM IDENTIFICATION OF NON-LINEAR OSCILLATORS
β Scribed by X. MA; M.F.A. AZEEZ; A.F. VAKAKIS
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 224 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0888-3270
No coin nor oath required. For personal study only.
β¦ Synopsis
The Karhunen}Loeve (K}L) decomposition procedure is applied to a system of coupled cantilever beams with non-linear grounding sti!nesses and a system of non-linearly coupled rods. The former system possesses localized non-linear normal modes (NNMs) for certain values of the coupling parameters and has been studied in the literature using various asymptotic techniques. In this work, the K}L method is used to locate the regions of such localized motions. The method yields orthogonal modes that best approximate the spatial behaviour of the beams. In order to apply this method simultaneous time series of the displacements at several points of the system are required. These measurements are obtained by a direct numerical integration of the governing partial di!erential equations, using the assumed modes method. A two-point correlation matrix is constructed using the measured time-series data, and its eigenvectors represent the dominant K}L modes of the system; the corresponding eigenvalues give an estimate of the participations (energies) of these modes in the dynamics. These participations are used to estimate the dimensionality of the system and to identify regions of localized motion in the coupling parameter space. The same approach is applied to a system of non-linearly coupled rods. Through the comparison of system response reconstructions of the responses using a simple K}L mode and a number of physical modes, it is shown that the K}L modes can be used to create lower-order models that can accurately capture the dynamics of the original system.
π SIMILAR VOLUMES
A method based on the power series technique is developed for the computation of normal modes and frequencies of a non-linear conservative lumped parameter system. The power series analysis is facilitated upon transforming the time variable into an harmonically oscillating time. Recurrence relations
A robust identification technique is presented which extracts the linear frequency response kernel from an input/response measurement of a general non-linear system. Also the number and significance of higher order frequency response kernels required for a complete identification may be assessed fro
For a strongly non-linear multi-degree-of-freedom system, in general, one cannot consider one mode at a time as in linear modal analysis. In the absence of external excitation, the natural vibration often involves more than one mode at a time resulting in quasi-periodic or multi-periodic (toroidal)
## Abstract This paper employs a nonβparametric method to forecast highβfrequency Canadian/US dollar exchange rate. The introduction of a microstructure variable, order flow, substantially improves the predictive power of both linear and nonβlinear models. The nonβlinear models outperform random wa
Many vibrating systems when experimentally tested show weak non-linearity. In these cases linear response features such as natural frequencies and damping ratios though clearly identifiable, nevertheless show amplitude dependency. This paper describes an approach where the underlying non-linear diff