Parametric analysis and new performance correlation of the surface conventional rigid pavement temperature

Case Studies in Construction Materials

卷:16

Naseebah Almarzouqi¹  Nawal Alhanaee¹  Timothy Sinclair¹  Marwa Alsalami¹  Fatma Abdulla¹  Maryam Alansari¹  Oussama Rejeb²  Chaouki Ghenai² 

[1] Ministry of Energy and Infrastructure, United Arab Emirates;

[2] Renewable Energy and Energy Efficiency Research Group, Sustainable Energy and Power Systems Research Centre, Research Institute for Sciences and Engineering (RISE), University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates;

关键词: Pavement;    Surface pavement temperature;    Solar energy absorption;    Parametric study;    New correlation;    Response surface methodology (RSM);   

DOI  :  

来源: DOAJ

【 摘 要 】

A statistical model for predicting pavement surface temperature has been developed for the first time in this study. The main objective of this work is to analyse the impact of the input factors (solar radiation, ambient temperature, wind speed, and albedo) most affecting the conventional rigid pavement surface temperature. A multi-physics numerical model combining radiative, conductive, and convective heat transfers with a response surface methodology (RSM) model was created as an innovative and integrated approach. The numerical model of two-dimensional heat transport based on volume finite techniques is performed using FORTRAN software. Moreover, the analysis of variance (ANOVA) is used to establish the polynomial model or new correlation (quadratic regression) and analyse each input factor's statistical importance. Heat transfer model findings were in good agreement with the experimental data. For pavement surface temperature, the results show that the adjusted Radj2and predicted determination coefficients R2 achieved are 0.9912 and 0.9604, respectively. A good agreement is obtained between the statistical model's prediction values and the heat transfer model's numerical data. Based on the four analysed input factors, a simple polynomial statistical model is developed to forecast and reduce the conventional rigid surface pavement temperature. A wind speed of 1.215 m/s, an air temperature of 293.634 K, solar radiation of 222.305 W/m2 and albedo of 0.782 were found to be the optimal operating conditions for obtaining the lowest possible temperature on the pavement's surface.

【 授权许可】

Unknown