Distributed parameter models for vehicle-suspension systems
by J. Tzioufas, L.A. Bergman, D. Metz
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 1, No. 3, 1994

Abstract: Recent advances in the modelling of complex distributed parameter systems incorporating discrete dynamic components (such as a continuously elastic chassis attached to lumped parameter suspension and control components) and the active control of such devices have appeared in the literature. These techniques are extremely efficient and make possible the notion of real time control of suspension kinematics and forces, as well as of chassis motion. In the present paper, the dynamic analysis of a class of systems which includes multiple-point connected discrete-distributed structures is accomplished using Green's function methods in conjunction with a newly developed hierarchical algorithm for eigenvalue extraction. The modal analysis of such systems, wherein a general rigid body possessing translational and rotational degrees of freedom is connected to a distributed substructure at multiple points, is addressed in a compact and efficient way.

Online publication date: Tue, 18-Jun-2013

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Heavy Vehicle Systems (IJHVS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com