Asi, Ibrahim Muhammad

King Fahd University of Petroleum and Minerals

Axle loads and pavement performance indicators for 
typical highways in Eastern Province 
Ibrahim Muhammad Asi 
Civil Engineering 
May 1986 
Abstract 
In this study five primary highways carrying heavy truck traffic were selected  as candidate 
sections for pavement evaluation with an ultimate objective to developing maintenance management 
system for the Eastern Province. A number of equipment recently acquired by the Research Institute, 
UPM, were employed to measure the important pavement performance indicators, such as the structural 
capacity measured by the Benkelman beam, the roughness measured by the Mays Ride Meter, and the 
skid resistance mesured by the Mini Texture Meter. In addition, the pavement condition survey was 
conducted by visual inspection using a set of simple hand tools for linear measurements. Axle load 
measurements, backed up by classified volume counts, were also made on each selected highway at 
appropriate locations. The results clearly demonstrate the usefulness of equipment based approach in 
identifying sections in need of maintenance. Heavy axle loads, far exceeding the M.O.C. limits, coupled 
with high volume of truck traffic, as represented by equivalent-number of 8.2-Tonne standard single axle 
load applications (EAL) are identified as a significant casual factor for prematured pavement damage. 
Computer-aided data base has been developed for the selected sections to facilitate easy updating and 
retrieval of information. The monitoring should be continued annually to assist in the development of 
pavement deterioration curves for this region so that cost-effective maintenance strategies can be evolved 
well in time. 


Axle loads and pavement performance indicators for typical highways in Eastern Province

https://eprints.kfupm.edu.sa/id/eprint/1835/1/T_M_A_2.pdf

Axle loads and pavement performance indicators for typical highways in Eastern Province

Abstract

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King Fahd University of Petroleum and Minerals