Please enter verification code
Identification of Compliant Contact Force Parameters in Multibody Systems Based on the Neural Network Approach Related to Municipal Property Damages
American Journal of Neural Networks and Applications
Volume 3, Issue 5, October 2017, Pages: 49-55
Received: Nov. 14, 2017; Accepted: Dec. 14, 2017; Published: Jan. 8, 2018
Views 2657      Downloads 171
Gholamhossein Lari, Safety and Fire Fighting Organization, Shiraz Municipality, Shiraz, Iran
Saeed Ebrahimi, Department of Mechanical Engineering, Yazd University, Yazd, Iran
Article Tools
Follow on us
In this paper, a new approach for identification of the compliant contact parameters model in multibody systems simulation using a neural network algorithm is presented. Based on the training and testing the network for some input and output data sets, a general framework is established for identification of these parameters. For this purpose, first, the literature devoted to the identification of contact parameters using analytical approaches and methods based on the neural network is reviewed in brief. Next, the proposed approach is outlined. Finally, considering a classical example of contact of two bodies, the proposed approach is applied for verification of the obtained results.
Compliant Contact Force Model, Multibody Systems, Stiffness and Damping Coefficients, Neural Network
To cite this article
Gholamhossein Lari, Saeed Ebrahimi, Identification of Compliant Contact Force Parameters in Multibody Systems Based on the Neural Network Approach Related to Municipal Property Damages, American Journal of Neural Networks and Applications. Vol. 3, No. 5, 2017, pp. 49-55. doi: 10.11648/j.ajnna.20170305.11
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
P. Wriggers. Computational Contact Mechanics. John Wiley & Sons, Chichester, 2002.
H. M. Lankarani and P. E. Nikravesh. Continuous Contact Force Models for Impact Analysis in Multibody Systems. Nonlinear Dynamics, 5, 193 207, 1994.
K. L. Johnson. Contact Mechanics. Cambridge University Press, Cambridge, 1985.
Y. A. Khulief and A. A. Shabana. A Continuous Force Model for the Impact Analysis of Flexible Multibody Systems. Mechanism and Machine Theory, 22, 213 224, 1987.
H. M. Lankarani and P. E. Nikravesh. A Contact Force Model with Hysteresis Damping for Impact Analysis of Multibody Systems. ASME Journal of Mechanical Design, 112, 369 376, 1990.
J. M. P. Dias and M. S. Pereira. Dynamics of Flexible Mechanical Systems with Contact-Impact and Plastic Deformations. Nonlinear Dynamics, 8, 491 512, 1995.
K. H. Hunt and F. R. E. Grossley. Coefficient of Restitution Interpreted as Damping in Vibroimpact. ASME Journal of Applied Mechanics, 97, 440 445, 1975.
M. Weber, K. Patel, O. Ma, and I. Sharf. Identification of Contact Dynamics Model Parameters from Constrained Robotic Operations. Journal of Dynamic Systems, Transactions ASME, 128, 307-318, 2006.
S. T. Venkataraman, S. Gulati, J. Barhen and N. Toomarian. A Neural Network Based Identification of Environments Models for Compliant Control of Space Robots. IEEE Transactions On Robotics And Automation, 9, 685-697, 1993.
O. zsahin, H. N. zgü ven and E. Budak. Estimation of Dynamic Contact Parameters For Machine Tool Spindle-Holder-Tool Assemblies Using Artificial Neural Networks. Proceedings of the 3rd International Conference on Manufacturing Engineering (ICMEN), 1-3 October, Chalkidiki, Greece, 2008.
F. Sharifi. Collision Modeling, Simulation and Identification of Robotic Manipulators Interacting with Enviroments. Journal of intelligent and robotic systems, 13, 1-44, 1995.
F. Pfeiffer and C. Glocker. Multibody Dynamics with Unilateral Contacts. John Wiley & Sons, NewYork, 1996.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186