Local structural nonlinearities identification based on the minimum error linear frequency response function

Local structural nonlinearities identification based on the minimum error linear frequency... Purpose – The purpose of this paper is to consider the dynamic characteristics identification of local structural nonlinearities. Design/methodology/approach – Proposed identification method is based on minimum error linear frequency response function (MELF). Two different techniques are developed to extract nonlinear element's dynamic behavior from MELF. The first method, in which no pre‐assumed model is considered for the nonlinearity mechanism behavior, is called “direct identification method.” The second method is “model based identification method.” Findings – Cubic stiffness dynamic characteristics are identified using the proposed techniques as a case study. Originality/value – The paper shows that the proposed identification technique is simple and free of any sophisticated measurement hardwares and constraints, which is required by most of the methods proposed so far. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Aircraft Engineering and Aerospace Technology Emerald Publishing

Local structural nonlinearities identification based on the minimum error linear frequency response function

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Publisher
Emerald Publishing
Copyright
Copyright © 2009 Emerald Group Publishing Limited. All rights reserved.
ISSN
0002-2667
DOI
10.1108/00022660910997829
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to consider the dynamic characteristics identification of local structural nonlinearities. Design/methodology/approach – Proposed identification method is based on minimum error linear frequency response function (MELF). Two different techniques are developed to extract nonlinear element's dynamic behavior from MELF. The first method, in which no pre‐assumed model is considered for the nonlinearity mechanism behavior, is called “direct identification method.” The second method is “model based identification method.” Findings – Cubic stiffness dynamic characteristics are identified using the proposed techniques as a case study. Originality/value – The paper shows that the proposed identification technique is simple and free of any sophisticated measurement hardwares and constraints, which is required by most of the methods proposed so far.

Journal

Aircraft Engineering and Aerospace TechnologyEmerald Publishing

Published: Oct 16, 2009

Keywords: Frequency response; Aerospace engineering; Modelling

References

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