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Baoshan Huang

Gradient Boosted Models for Enhancing Fatigue Cracking Prediction in Mechanistic-Empirical Pavement Design Guide
Investigating Impacts of Asphalt Mixture Properties on Pavement Performance Using LTPP Data through Random Forests
Direct Shear Properties of Railway Ballast Mixed with Tire Derived Aggregates: Experimental and Numerical Investigations
Neural Networks for Fatigue Cracking Prediction Using Outputs from Pavement Mechanistic-Empirical Design
Improving Accuracy of Rutting Prediction for Mechanistic-Empirical Pavement Design Guide with Deep Neural Networks
Use of Random Forests Regression for Predicting IRI of Asphalt Pavements
Field Performance Evaluation of Asphalt Mixtures Containing High Percentage of RAP Using LTPP Data
Development in Innovative Characterization, Modeling and Simulation of Pavements and Materials
Local Calibration of the Fatigue Cracking Models in the Mechanistic-Empirical Pavement Design Guide for Tennessee
Effectiveness Analyses of Flexible Pavement Preventive Maintenance Treatments with LTPP SPS-3 Experiment Data

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