Quantifying the Differential Phase Angle Behaviour of Asphalt Concrete Mixtures Using Artificial Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42947-021-00042-0.pdf
Reference48 articles.
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3. Biligiri, K. P., Kaloush, K., & Uzan, J. (2010). Evaluation of asphalt mixtures’ viscoelastic properties using phase angle relationships. International Journal of Pavement Engineering, 11(2), 143–152
4. Biligiri, K. P., & Kaloush, K. E. (2014). Effect of specimen geometries on asphalt mixtures’ phase angle characteristics. Construction and Building Materials, 67, 249–257
5. Naik, A. K., & Biligiri, K. P. (2015). Predictive models to estimate phase angle of asphalt mixtures. Journal of Materials in Civil Engineering, 27(8), 04014235
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