A Machine Learning Approach for the Simultaneous Prediction of Dynamic Modulus and Phase Angle of Asphalt Concrete Mixtures-Reference-Cited by-同舟云学术

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A Machine Learning Approach for the Simultaneous Prediction of Dynamic Modulus and Phase Angle of Asphalt Concrete Mixtures

Published:2023-12-20 Issue: Volume: Page:507-520
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Rondinella Fabio^ORCID,Daneluz Fabiola^ORCID,Hofko Bernhard^ORCID,Baldo Nicola^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-48858-0_40

Reference13 articles.

1. AASHTO, American Association of State Highway Transportation Officials (AASHTO), Guide for Design of Pavement Structures (1993)

2. Pasetto, M., Baldo, N.: Computational analysis of the creep behaviour of bituminous mixtures. Constr. Build. Mater. 94, 784–790 (2015)

3. Pasetto, M., Baldo, N.: Creep response of asphalt concretes: visco-elasto-plastic modeling. Int. J. Pavement Res. Technol. 8(2), 63–71 (2015)

4. Bari, M.J., Witczak, M.W.: Development of a new revised version of the Witczak |E*|: predictive model for hot mix asphalt mixtures. J. Assoc. Asphalt Paving Technol. 75, 381–423 (2006)

5. Fonseca, O.A., Witczak, M.W.: A prediction methodology for the dynamic modulus of in placed aged asphalt mixtures. J. Assoc. Asphalt Paving Technol. 65, 532–572 (1996)

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