A practical model for bushing components for vehicle dynamic analysis. (8th December 2004)

• Record Type: Journal Article
• Authors: Yoo, Wan-Suk; Baek, Woon-Kyung; Sohn, Jeong-Hyun
• Is Part Of: International journal of vehicle design. Volume 36:Number 4(2004)
• Page Start: 345
• Page End: 364
• Publication Date: 2004-12-08
• Subjects: artificial neural networks -- rubber bushing -- suspension systems -- vehicle dynamic analysis -- automotive bushing components -- bushing modelling; Motor vehicles -- Design and construction -- Periodicals; 629.231
• Languages: English
• ISSNs: 0143-3369

Abstract

In this article, a practical model for automotive bushing components is developed to improve the accuracy of the vehicle dynamic analysis. Bushing components of a vehicle suspension system are tested to capture the nonlinear and hysteretic behaviour of typical rubber bushing elements and the test results are used to develop a practical bushing model using an artificial neural network. A back propagation algorithm is then used to obtain the weighting factor of the neural network. Since the output for a dynamic system depends on the past histories of inputs and outputs, Narendra's algorithm of "NARMAX" form is employed to consider these effects. A numerical example is carried out to demonstrate the developed bushing model.