We have attempted to express the frequency response functions of a linear and a quadratic non-linear system in terms of spectral vectors. These vector notations convey the system characteristics in physically realisable measures. One of the valuable tools to verify the non-linear system features is
A NEW DERIVATION OF THE FREQUENCY RESPONSE FUNCTION MATRIX FOR VIBRATING NON-LINEAR SYSTEMS
โ Scribed by D.E. ADAMS; R.J. ALLEMANG
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 272 KB
- Volume
- 227
- Category
- Article
- ISSN
- 0022-460X
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โฆ Synopsis
Frequency response function matrices relate the inputs and the outputs of structural dynamic systems. If a system is linear the frequency response function matrix is the same for any combination or types of inputs over the entire operating range. Furthermore, the frequency response matrix of a linear vibrating system is a simple combination of temporal and spatial characteristics, the modal frequencies, modal vectors and modal scale factors. When a system is non-linear, the inputs interact through an exchange of energy between the linear and non-linear elements in the system. No general combination of the temporal and spatial non-linear characteristics has to date been proposed to describe these linear}non-linear interactions. This article introduces a unifying perspective of non-linearities as internal feedback forces that act together with the external forces to generate the response of the non-linear system. This perspective of the non-linearities is spatial in nature and leads to two simple but conceptually powerful relationships between the frequency response function matrix of a non-linear multiple-degree-of-freedom system and its linear counterpart. Several single-and multiple-degree-of-freedom systems are used to demonstrate the use and interpretation of these relationships. The broad implication of the new input}output frequency response representation for both linear and non-linear systems are also addressed. In particular, the merits of the spatial perspective of non-linear systems and the new frequency response relationships are stated in the context of linear and non-linear system characterization and identi"cation. One implication is that these relationships suggest there is an input}output-dependent temporal-spatial (modal) decomposition of the frequency response function matrix for non-linear systems.
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