Construction Engineering Department, Faculty of Engineering,

Zagazig University, Zagazig, Sharkia, Egypt.


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.

2 تعليقات

  1. Great thinking! That rlelay breaks the mold!

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