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Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches. [PDF]

Sci Rep
Khawaja L, Asif U, Onyelowe K, Al Asmari AF, Khan D, Javed MF, Alabduljabbar H.   +6 more
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Study of MEPDG Sensitivity Using Nonparametric Regression Procedures

Journal of Computing in Civil Engineering, 2014
AbstractBecause the new Mechanistic-Empirical Pavement Design Guide (MEPDG) includes numerous inputs, a sensitivity analysis using the Monte Carlo approach is not practical because it requires thousands of MEPDG runs. Instead, nonparametric regression procedures can be very useful to perform MEPDG sensitivity analysis.
Rafiqul A. Tarefder, Nasrin Sumee, Curtis Storlie   +2 more
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Validating MEPDG with Tennessee Pavement Performance Data

Journal of Transportation Engineering, 2013
To implement the Mechanistic-Empirical Pavement Design Guide (MEPDG) developed by AASHTO for pavement construction and rehabilitation, it is necessary to evaluate its performance prediction models using actual pavement performance data, material properties, traffic information, and environmental factors.
Changjun Zhou, Baoshan Huang, Xiang Shu, Qiao Dong   +3 more
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Simple AC/CRC Composite Pavement Design Using MEPDG

Journal of the Korean Society of Road Engineers, 2014
PURPOSES : Analysis and design of asphalt concrete (AC) and continuously reinforced concrete (CRC) composite pavements. METHODS : In this study, the service life of the AC/CRC composite pavements was determined based on the probabilistic method in the mechanistic-empirical pavement design guide(MEPDG).
Jongeun Baek, Hyung Bae Kim, Hyun Jong Lee   +2 more
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Probabilistic Numerical Simulation of Pavement Performance using MEPDG

Road Materials and Pavement Design, 2010
ABSTRACT It is widely acknowledged that the accurate simulation of complex engineering systems, such as nuclear power reactors, modern weapon systems, and aircraft, requires probabilistic analysis due to inherent uncertainties in their models' parameters.
Steven F. Wojtkiewicz, Lev Khazanovich, Gaurav Gaurav, Raul Velasquez   +3 more
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Enhancing MEPDG distress models prediction for Saudi Arabia by local calibration

Road Materials and Pavement Design, 2021
During the development of pavement design methods, the MEPDG is evolved by NCHRP 1-37 project. This reason led the roadway agencies to implement the MEPDG.
Abdulraaof H. Al-Qaili, Hamad Al-Solieman   +1 more
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Application of MEPDG Dynamic Modulus Prediction Model in China

CICTP 2015, 2015
In order to research the dynamic modulus prediction of asphalt mixtures, one section of Lianxu Highway in Jiangsu Province, China was picked. The applied prediction equations are from the Mechanistic-Empirical Pavement Design Guide (MEPDG), and the prediction procedure could be broken into 3 steps: establishing the viscosity-temperature relationship ...
Yuqin Zhu, Fujian Ni
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Effects of Subgrade Resilient Modulus and Climate Inputs on MEPDG

GeoCongress 2012, 2012
Local validation and calibration are essential steps before the local implementation of the newly developed Mechanistic-Empirical Pavement Design Guide (MEPDG). Recently, a comprehensive study was carried out in Louisiana to validate and calibrate the MEPDG models using the network-level pavement management performance data.
Xiaoming Yang, Zhong Wu
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