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...
المؤلفون الرئيسيون: | Mohammad Sedighian-Fard, Nader Solatifar, Henrikas Sivilevičius |
---|---|
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Vilnius Gediminas Technical University
2023-03-01
|
سلاسل: | Journal of Civil Engineering and Management |
الموضوعات: | |
الوصول للمادة أونلاين: | https://jbem.vgtu.lt/index.php/JCEM/article/view/18611 |
مواد مشابهة
-
Development of An Artificial Neural Network Model for Asphalt Pavement Deterioration Using LTPP Data
حسب: Nader Solatifar, وآخرون
منشور في: (2020-02-01) -
LTPP data-based investigation on asphalt pavement performance using geospatial hot spot analysis and decision tree models
حسب: Kun Zhang, وآخرون
منشور في: (2023-06-01) -
Development of Asphalt Pavement Temperature Models for Oman
حسب: H.F. Hassan, وآخرون
منشور في: (2005-12-01) -
Research and Application of Hot In-Place Recycling Technology for Asphalt Pavement /
حسب: Sze, Banting W. P., author 651097, وآخرون
منشور في: (2021) -
Pavement surface course, stone mastic asphalt pavements, and asphalt concrete recycling
حسب: National Research Council (United States). Transportation Research Board
منشور في: (1993)