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STIFFNESS NON-LINEARITY CLASSIFICATION THROUGH STRUCTURED RESPONSE COMPONENT ANALYSIS USING VOLTERRA SERIES

โœ Scribed by ANIMESH CHATTERJEE; N.S. VYAS


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
566 KB
Volume
15
Category
Article
ISSN
0888-3270

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โœฆ Synopsis


Most non-linear analysis problems, consider only the Du$ng oscillator as a representative case. In engineering analysis, it is however, also important to recognise the type of non-linearity actually in#uencing the system. A procedure, involving structured higherorder FRF analysis based on Volterra theory is suggested in the present work, to distinguish a polynomial form of non-linearity from other possible forms. Volterra theory provides concepts of linear, bilinear, trilinear, etc. kernels, which upon convolution with the excitation force and subsequent summation can be employed to represent the response of a non-linear system. The kernels of the system are understood as multidimensional unit impulse response functions. The Volterra series response representation is employed in this work to facilitate its processing in a structured manner, to extract characteristic features, which can help in placing the system non-linearity in an appropriate class. The Volterra series platform is also employed to make a distinction between symmetric and asymmetric forms of the restoring force function. A multi-tone excitation procedure is further suggested, through which higher-order kernels of the system can be constructed for identi"cation of the structure of the polynomial representing the restoring force. The procedures are illustrated through numerical simulation.


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โœ I. TAWFIQ; T. VINH ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 727 KB

Modal analysis is extensively used to study dynamic behaviour of linear mechanical structures. The extension of this tool to non-linear structures is examined here, using Volterra functional series which generalises the superposition principle and permits to obtain impulse responses and transfer fun