A Study on the Empirical Modeling of Rubber Bushing for Dynamic Analysis

동역학 해석을 위한 고무부싱의 실험적 모델링에 대한 연구

  • Sohn, Jeong-Hyun (School of Mechanical Engineering, Pukyong National University) ;
  • Baek, Woon-Kyung (School of Mechanical Engineering, Pukyong National University) ;
  • Kim, Dong-Jo (School of Mechanical Engineering, Pukyong National University)
  • Published : 2004.06.30

Abstract

A rubber bushing connects the components of the vehicle each other and reduce the vibration transmitted to the chassis frame. A rubber bushing has the nonlinear characteristics for both the amplitude and the frequency and represents the hysteretic responses under the periodic excitation. In this paper, one-axis durability test is performed to describe the mechanical behavior of typical vehicle elastomeric components. The results of the tests are used to develop m empirical bushing model with an artificial neural network. The back propagation algerian is used to obtain the weighting factor of the neural network. A numerical example is carried out to verify the developed bushing model and the vehicle simulation is performed to show the fidelity of proposed model.

References

  1. CADSI, DADS Revision 8.0 User's Manual, Oakdale, IA, U.S.A. (1995)
  2. ADAMS Version 8.0 User's Guide, An Arbor, MI, U.S.A. (1994)
  3. S. B. Lee, A. Wineman, 'A Model for Non-linear Viscoelastic Coupled Mode Response of an Elastomeric Bushings', Int. J of Non-Linear Mechanics, 35, 177 (2000) https://doi.org/10.1016/S0020-7462(98)00061-4
  4. J. W. Fash, 'Modeling of Shock Absorber Behavior using Artificial Neural Networks', SAE 940248 (1994)
  5. I. Y. Kim, K. T. Chong, T. S. No, D. P. Hong, 'Empirical Closed Loop Modeling of a Suspension System Using Neural Network', KSPE, 14, 7 (1997)
  6. A. J. barber, 'Accurate Models for Complex Vehicle Components using Empirical Methods', SAE2000-01-1625 (2000)
  7. R. C. Dorf, Control Analysis and MATLAB and Simulink Application (2003)
  8. K.S. Narendra, K. Pathasarathy,'Identification and Control of Dynamic System Using Neural Networks', IEEE Transactions on Neural Networks, 1, 1 (1990)
  9. E. Y. Kuo, 'Testing and Characterization of Elastomeric Bushings for Large Deflection Behavior', SAE 970099 (1997)
  10. 김대수, '신경망 이론과 응용(I)', 하이테크 정보, (1995)