Calibration of regression-based models for prediction of temperature profile of asphalt layers using LTPP data

For analysis, design, and rehabilitation purposes of flexible pavements, the temperature profile of asphalt layers should be determined. The predictive models as an alternative to in-situ measurements, are rapid and easy methods to determine the temperature of asphalt layer at various depths. These...

書目詳細資料
Main Authors:	Mohammad Sedighian-Fard, Nader Solatifar, Henrikas Sivilevičius
格式:	Article
語言:	English
出版:	Vilnius Gediminas Technical University 2023-03-01
叢編:	Journal of Civil Engineering and Management
主題:	asphalt pavement temperature profile of asphalt layers prediction models regression-based models long-term pavement performance (LTPP)
在線閱讀:	https://jbem.vgtu.lt/index.php/JCEM/article/view/18611

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