Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)

The Design Method of Aggregate Gradation of AC-25 Asphalt Mixture Based on Road Performance

Authors
Zhaohui Sun, Tiebin Wang, Zefeng Wu, Deying Yu
Corresponding Author
Zhaohui Sun
Available Online February 2018.
DOI
10.2991/ifeesm-17.2018.119How to use a DOI?
Keywords
AC-25 asphalt mixture; Design Method; Road performance; Prediction model;Gradation test; Evaluation index; Fractal dimension; Range
Abstract

The road performance prediction models of AC-25 asphalt mixture are established through a large number of road performance test,the road performance of AC-25 asphalt mixture is predicted in the design calculation process.The gradation test prediction models are established to identify the skeleton structure type of asphalt mixture. The asphalt mixture design method based on road performance is proposed on the basis,which makes the asphalt mixture achieve the optimal in the design process and reduce the unnecessary test amount.

Copyright
© 2018, 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 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
Series
Advances in Engineering Research
Publication Date
February 2018
ISBN
10.2991/ifeesm-17.2018.119
ISSN
2352-5401
DOI
10.2991/ifeesm-17.2018.119How to use a DOI?
Copyright
© 2018, 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  - Zhaohui Sun
AU  - Tiebin Wang
AU  - Zefeng Wu
AU  - Deying Yu
PY  - 2018/02
DA  - 2018/02
TI  - The Design Method of Aggregate Gradation of AC-25 Asphalt Mixture Based on Road Performance
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 632
EP  - 637
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.119
DO  - 10.2991/ifeesm-17.2018.119
ID  - Sun2018/02
ER  -