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

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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Bibliografski detalji
Glavni autori: Mohammad Sedighian-Fard, Nader Solatifar, Henrikas Sivilevičius
Format: Članak
Jezik:English
Izdano: Vilnius Gediminas Technical University 2023-03-01
Serija:Journal of Civil Engineering and Management
Teme:
asphalt pavement
temperature profile of asphalt layers
prediction models
regression-based models
long-term pavement performance (LTPP)
Online pristup:https://jbem.vgtu.lt/index.php/JCEM/article/view/18611

Internet

https://jbem.vgtu.lt/index.php/JCEM/article/view/18611

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