للكاتبين
ASHRAF EL-SHAHAT MOHAMMED* AND MAHMOUD FATHY KHAMIS*
Construction Engineering Department, Faculty of Engineering,
Zagazig University, Zagazig, Sharkia, Egypt.
ABSTRACT
The evaluation of the pavement condition is a prerequisite for any pavement management
system and has received considerable attention by a number of agencies during the past
decade. It is a complex process since it requires actual field measurements on the road
regarding its structural capacity, roughness, surface distress and skid resistance. Sample
size should represent the condition of pavement of each section. Determining sample size is
a very important issue because samples that are too large may waste time, resources and
money, while samples that are too small may lead to inaccurate results. The main objective
of this study is to determine the optimum sample size required for pavement condition
evaluation. To achieve this objective, some highways were selected randomly. These
highways include desert and agricultural links. A complete survey of the selected highways
was performed. The results of survey of each 100 meter was collected in a separate form
paper. The total length of selected highways was 69 kilometer. Pavement condition index
method was used in this study. For results analysis, a pavement condition index of 10%,
20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100% sample size was calculated for
each one kilometer of each link. A comparison of the results of pavement condition index
of the selected sample sizes was made. Also, the percent of error of the average of results of
pavement condition index of the selected sample sizes and complete survey of each one
kilometer was calculated. The study revealed that a sample size of 30 to 40% is the
optimum sample size for pavement condition evaluation which gives the smallest value of
error percent comparing to the pavement condition index of 100% sample size. Also, a
correction factors was concluded for each selected sample size to obtain the pavement
condition index value at 100% sample size.
Great thinking! That rlelay breaks the mold!
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