The spatial repeatability of dynamic pavement loads caused by heavy goods vehicles
by L. Gyenes, C.G.B. Mitchell
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 1, No. 2, 1994

Abstract: For some time it has been suspected that the higher-than-average dynamic loads imposed on roads by heavy vehicles cluster at particular positions along a road. This paper presents experimental evidence on the degree of clustering that occurs and indicates the extent to which this increases road wear. The Transport Research Laboratory (TRL) has measured dynamic pavement loads for a variety of vehicles, suspension types and speeds on three sections of the TRL research track. These applied loads have been summed for typically 50-100 different axle passes and the total and mean applied loads at each station along the track calculated. Load concentration points do occur at which the mean load is at least 5% greater than the static load. One section of public road has been instrumented with eight weigh-in-motion sensors at 2.7 metre intervals in each wheel track. These have been used to measure the local loads applied by over 2000 HGV axles. The preliminary analysis of these results suggests that average loads vary by 20% along the instrumented section, and that the pattern of load concentration points has been stable over a five month period.

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