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...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Mohammad Sedighian-Fard, Nader Solatifar, Henrikas Sivilevičius
פורמט: Article
שפה:English
יצא לאור: Vilnius Gediminas Technical University 2023-03-01
סדרה:Journal of Civil Engineering and Management
נושאים:
asphalt pavement
temperature profile of asphalt layers
prediction models
regression-based models
long-term pavement performance (LTPP)
גישה מקוונת:https://jbem.vgtu.lt/index.php/JCEM/article/view/18611

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