MEPDG

Neural Networks for Fatigue Cracking Prediction Using Outputs from Pavement Mechanistic-Empirical Design

Fatigue cracking (FC) on asphalt pavements is one of the most critical performance indicators in the AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG). However, many recent studies have shown that the accuracy of the FC transfer function is …

Improving Accuracy of Rutting Prediction for Mechanistic-Empirical Pavement Design Guide with Deep Neural Networks

Rutting in asphalt pavement is a critical design criterion in the Mechanistic-Empirical Pavement Design Guide (MEPDG). However, many studies have shown that the rutting transfer function in the MEPDG fails to produce reliable predictions in that it …

Local Calibration of the Fatigue Cracking Models in the Mechanistic-Empirical Pavement Design Guide for Tennessee

This study summarises the local calibration of AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) for flexible pavements in Tennessee. Data retrieved from the Highway Pavement Management Application of Tennessee were utilised. The alligator …