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A platform for research: civil engineering, architecture and urbanism
Perpetual pavement temperature prediction model
Structural capacities of flexible pavements are determined from surface deflection measurements. These deflections must be corrected to a standard load and/or a reference pavement temperature. A number of models are available to predict pavement temperature, but they may not be applicable to perpetual (thicker) asphalt pavements. Mid-depth pavement temperature was measured in six sessions on four perpetual pavement sections in Kansas. Data from five sessions were used to develop the prediction model based on four independent variables. Data from the last session were used to validate it. Predicted mid-depth pavement temperatures from the new model and three other models were compared with the measured mid-depth pavement temperature. Sensitivity of the model to changes in all independent variables was also investigated. The effect of mid-depth pavement temperature on the centre deflection of the falling weight deflectometer was also studied. The prediction model developed in this study yields mid-depth pavement temperature that is closest to the measured mid-depth temperature. It also results in lowest bias in terms of centre deflection. Predicted mid-depth pavement temperature is most sensitive to the time of day when measurements are made and least sensitive to the layer mid-depth thickness.
Perpetual pavement temperature prediction model
Structural capacities of flexible pavements are determined from surface deflection measurements. These deflections must be corrected to a standard load and/or a reference pavement temperature. A number of models are available to predict pavement temperature, but they may not be applicable to perpetual (thicker) asphalt pavements. Mid-depth pavement temperature was measured in six sessions on four perpetual pavement sections in Kansas. Data from five sessions were used to develop the prediction model based on four independent variables. Data from the last session were used to validate it. Predicted mid-depth pavement temperatures from the new model and three other models were compared with the measured mid-depth pavement temperature. Sensitivity of the model to changes in all independent variables was also investigated. The effect of mid-depth pavement temperature on the centre deflection of the falling weight deflectometer was also studied. The prediction model developed in this study yields mid-depth pavement temperature that is closest to the measured mid-depth temperature. It also results in lowest bias in terms of centre deflection. Predicted mid-depth pavement temperature is most sensitive to the time of day when measurements are made and least sensitive to the layer mid-depth thickness.
Perpetual pavement temperature prediction model
Gedafa, Daba S. (author) / Hossain, Mustaque (author) / Romanoschi, Stefan A. (author)
Road Materials and Pavement Design ; 15 ; 55-65
2014-01-02
11 pages
Article (Journal)
Electronic Resource
English
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