Charles Darwin University

CDU eSpace
Institutional Repository

 
CDU Staff and Student only
 

A Structural articulation method for assessing railway bridges subject to dynamic impact loading from track irregularities

Lilley, David M., Gu, Gunmo and Franklin, Francis (2010). A Structural articulation method for assessing railway bridges subject to dynamic impact loading from track irregularities. Vehicle System Dynamics,48(10):1077-1095.

Document type: Journal Article

IRMA ID 81704288xPUB314
Title A Structural articulation method for assessing railway bridges subject to dynamic impact loading from track irregularities
Author Lilley, David M.
Gu, Gunmo
Franklin, Francis
Journal Name Vehicle System Dynamics
Publication Date 2010
Volume Number 48
Issue Number 10
ISSN 0042-3114   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-77956553929
Start Page 1077
End Page 1095
Total Pages 18
Place of Publication United Kingdom
Publisher Taylor & Francis
HERDC Category C1 - Journal Article (DIISR)
Abstract This paper discusses the importance of track irregularities in railway bridge design, and presents a new technique for calculating the dynamic impact load induced by such irregularities: the structural articulation method. The properties of the combined bridge-suspension system are coupled through global mass, stiffness, and damping matrices. Under the proposed method, the true suspension system over a particular point on the bridge girder at time t is divided into equivalent suspension systems attributed to adjacent finite-element nodes of the bridge. The time-dependent effects of a moving mass are thereby included in the equation of motion.
Keywords track irregularities
track roughness
railway bridge dynamic
dynamic impact load
bridge vehicle track interaction
railway bridge assessment
DOI http://dx.doi.org/10.1080/00423110903337273   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
Versions
Version Filter Type
Access Statistics: 67 Abstract Views  -  Detailed Statistics
Created: Fri, 17 Jan 2014, 00:31:26 CST