Optimization of surface free energy parameters for asphalt binder-aggregate system based on RBF neural network model
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference43 articles.
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1. Multiscale evaluation of asphalt binder-aggregate interface exposed to sodium chloride deicer;International Journal of Pavement Engineering;2024-07-08
2. The Evaluation and Prediction of Flame Retardancy of Asphalt Mixture Based on PCA-RBF Neural Network Model;Materials;2024-07-04
3. Evaluation of Moisture Sensitivity of Asphalt Mixtures Based on Surface Energy of Asphalt Mastic;Journal of Materials in Civil Engineering;2024-07
4. Testing and Evaluation of Hard Sandstone Aggregate in Hot Mix Asphalt;Advances in Materials Science and Engineering;2024-05-14
5. Modeling and prediction of surface free energy of pavement materials based on a single probe liquid using artificial neural network;Surfaces and Interfaces;2024-03
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