Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

The Water Stability Prediction Model of AC-25 Asphalt Mixture

Authors
Zhao-hui Sun, De-ying Yu, Tie-bin Wang, Guang-qiang Zhu
Corresponding Author
Zhao-hui Sun
Available Online February 2017.
DOI
10.2991/icmeim-17.2017.21How to use a DOI?
Keywords
Water Stability, Prediction Model, Asphalt Mixture
Abstract

AC-25 asphalt mixture are designed by referencing the orthogonal design method, the freeze-thaw cycle rutting test are carried out, the related model of the fractal dimension and the water stability evaluation index including freeze-thaw cycle dynamic stability ratio is established by using fractal theory. The water stability of AC-25 asphalt mixture can be predicted according to the gradation designed. This can reduce the test workload and offer the reference for engineering design.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Series
Advances in Engineering Research
Publication Date
February 2017
ISBN
10.2991/icmeim-17.2017.21
ISSN
2352-5401
DOI
10.2991/icmeim-17.2017.21How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhao-hui Sun
AU  - De-ying Yu
AU  - Tie-bin Wang
AU  - Guang-qiang Zhu
PY  - 2017/02
DA  - 2017/02
TI  - The Water Stability Prediction Model of AC-25 Asphalt Mixture
BT  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 110
EP  - 114
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.21
DO  - 10.2991/icmeim-17.2017.21
ID  - Sun2017/02
ER  -