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...

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Dades bibliogràfiques
Autors principals:	Mohammad Sedighian-Fard, Nader Solatifar, Henrikas Sivilevičius
Format:	Article
Idioma:	English
Publicat:	Vilnius Gediminas Technical University 2023-03-01
Col·lecció:	Journal of Civil Engineering and Management
Matèries:	asphalt pavement temperature profile of asphalt layers prediction models regression-based models long-term pavement performance (LTPP)
Accés en línia:	https://jbem.vgtu.lt/index.php/JCEM/article/view/18611

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