Influence of bedrock on viscoelastic responses and parametric back-calculation results for asphalt pavements and prediction of bedrock depth under FWD tests
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference65 articles.
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1. Machine Learning Models for Bedrock Condition Classification in Pavement Structure Evaluation: A Comparative Study;Journal of Nondestructive Evaluation;2024-03-09
2. The Effectiveness of the Havriliak-Negami Model in Predicting the Master Curves of the Asphalt Blends with SBS Triblock Copolymer and Organic-Montmorillonite at Different Temperatures and Frequencies;Journal of Materials Science and Chemical Engineering;2024
3. Expanding In-Place Pavement Modulus Forward Calculation Theory Through Ensemble Learning, Deep Ensemble Learning, and Deep Ensemble Learning with Expanded Feature Space;2024
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