Abstract
In this paper, a performance curve is used to optimize flexible pavement maintenance. The main aim of this study is to develop a performance model based on Benkelman Beam (BB) results by using prediction models derived from the data for Pavement Condition Index (PCI) that was obtained from three districts belonging to the General Authority for Roads, Bridges and Land Transport (GARBLT) which consist of about Central district (26sections), Middle-Delta (22 sections), and East-Delta (14 sections) with a total length of 124 Kilometers. The proposed model was validated by comparing the predicted values with actual (PCI) with a coefficient of determination R^2 () equals 0.87. Structural evaluation of in-service pavements is a key activity for both the project and network-level pavement management systems. Benkelman Beam was used for measuring the deflection. Test points were taken at a distance of 1.5 m from the edge of the pavement. Since the deflections measured by the Benkelman Beam are influenced by the pavement temperature and seasonal variations in climate, therefore, pavement was recorded temperature for making subsequent corrections to the deflection values. Since the Structure Number (SN) evaluation of in-service pavements is a key component for both the Structural Condition Index (SCI), the resulting deflections from (BB) were converted to structural number (SN) using a model and the validity has been checked by taking samples from the pavement layers, which revealed a strong correlation between them with a coefficient of determination (R^2) of 0.62. The structure number in 2018 is predicted from the proposed model and then compared with actual field measurements for the same year. A conclusion is made regarding the validity of the proposed prediction model with a coefficient of determination (R^2) equals 0.91. Since (BB) reading is important to determine Pavement Condition Index (PCI) value.
Highlights
INTRODUCTIONHE Egyptian road consists of about 188,200 kilometers, 179,900 kilometers paved roads (95,6%) and 8,300 kilometers unpaved by (4,4%)
AND BACKGROUND THE Egyptian road consists of about 188,200 kilometers, 179,900 kilometers paved roads (95,6%) and 8,300 kilometers unpaved by (4,4%).The road network under the (GARBLT) consists of about28,100 kilometers of paved roads [1]
Condition Index (SCI), the resulting deflections from (BB) were converted to structural number (SN) using a model and the validity has been checked by taking samples from the pavement layers, which revealed a strong correlation between them with a coefficient of determination (R^2) of 0.62
Summary
HE Egyptian road consists of about 188,200 kilometers, 179,900 kilometers paved roads (95,6%) and 8,300 kilometers unpaved by (4,4%). Fairly detailed and specific models are required for predicting the performance expected for an individual pavement section. It is used in the life cycle cost analysis of pavement sections. General average prediction models are required to provide estimates of expected performance for atypical pavement or class of pavement. Delay of maintenance and rehabilitation can increase the life cycle cost of providing a good level of pavement performance and may mean that year later the entire pavement will have to be rebuilt.
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