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原文传递 Prediction of Time-Dependent Temperature Distribution within the Pavement Surface Layer during FWD Testing
题名: Prediction of Time-Dependent Temperature Distribution within the Pavement Surface Layer during FWD Testing
正文语种: 英文
作者: Civil and Environmental Engineering Univ
作者单位: Dong Wang
关键词: Pavement temperature prediction; Analytical method; Falling weight deflectometer (FWD) testing
摘要: This paper presents an infinite series solution to predict the time-dependent temperature profile within the pavement surface layer on the basis of measured pavement surface temperature data during falling weight deflectometer (FWD) testing. The infinite series solution was derived using the method of eigenfunction expansions. The model validation was conducted based on the long-term pavement performance (LTPP) program FWD temperature data. The interpolatory trigonometric polynomials were used to approximate a pavement surface temperature history by using temperatures measured at different times during FWD testing. Total of 2,066 and 1,968 pavement subsurface temperatures within surface layers were predicted by using the derived infinite series solution for flexible and rigid pavements, respectively. These temperature profile predictions were compared with the measured pavement subsurface temperatures, showing that the proposed solution can rapidly and accurately predict the transient temperature profile within the pavement surface layer during the short time period of FWD testing with limited inputs.
出版年: 2016
期刊名称: Journal of Transportation Engineering
卷: Vol.142
期: No.7
页码: 06016002
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