The Application of Quasi-Linearization Techniques to Rail Vehicle Dynamic Analyses

Hedrick, J. Karl; Cooperrider, N. K.; Law, E. H.

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The Application of Quasi-Linearization Techniques to Rail Vehicle Dynamic Analyses

1978-11-01
By Hedrick, J. Karl ; Cooperrider, N. K. ; Law, E. H.

File Language:

English

Details

Creators:

Hedrick, J. Karl ; Cooperrider, N. K. ; Law, E. H.
Corporate Creators:

Massachusetts Institute of Technology ; Arizona State University ; Clemson University
Corporate Contributors:

John A. Volpe National Transportation Systems Center (U.S.) ; United States. Department of Transportation. Federal Railroad Administration
Subject/TRT Terms:
Publication/ Report Number:

DOT-TSC-FRA-78-6 ; FRA/ORD-78/56
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Railroad Administration
Abstract:

The objective of the work reported here was to define methods for applying the describing function technique to realistic models of nonlinear rail cars. The describing function method offers a compromise between the accuracy of nonlinear digital simulation and the computational efficiency of linear methods. This work entailed the development of realistic describing function representations for nonlinearities such as the wheel/rail contact interaction and the development of algorithms for using these describing functions to predict the occurrence and stability of hunting and the forced response of rail vehicles to sinusoidal and statistical track irregularities. This report explains the describing function technique, demonstrates how it can be applied to nonlinear rail vehicle dynamics problems, describes algorithms that can be used for such problems, and presents results for typical nonlinear problems, including wheel profile and suspension nonlinearities.
Format:

PDF
Funding:

DOT-TSC-902
Download URL:

https://rosap.ntl.bts.gov/view/dot/10221/dot_10221_DS1.pdf
File Type:

[PDF - 7.08 MB]
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha256:9b235906417dbdb01779b4525facb7902f75f4a3c1fbbe37f2a29c03b8e74fdb

File Language:

English

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