RESEARCH ARTICLE


Research on the Mechanical Strength of Emulsified Asphalt-Cementstabilized Macadam Based on Neural Network Algorithm



Chenhao Guo1, Xianpeng Cheng2, Xiaoming Zhang*, 3
1 School of Materials Science and Engineering, Chang' an University, Xi'an 710064, China
2 Xi'an Municipal Engineer-ing & Research Institute Co., Ltd, Xi'an 710068, China
3 Shanxi Academy of Building Research, Xi'anɼ710082, China


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Creative Commons License
© 2015 Guo et al;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the School of Materials Science and Engineering, Chang' an University, Xi'an 710064, China; Tel: +86 15029229996; E-mail: guochenhao@sohu.com


Abstract

In this paper, we researched the application of mechanical strength experiment on emulsified asphalt cementstabilized macadam based on neural network algorithm. Based on the analysis of the early diseases of asphalt pavement, which uses semi-rigid base, solving the problem of semi-rigid base asphalt pavement's reflection crack, this paper proposes the research approach that uses a modified semi-rigid base, appropriate pavement structure as the point of starting. Combining with the past emulsified asphalt-cement-stabilized macadam material mixing methods, the construction technologies of cement-stabilized macadam and synchronous chip sealing, this paper has come up with a new method for modification of semi-rigid base. The unconfined compressive strength and splitting strength of the mixtures would decrease as the mixing amount of emulsified asphalt increases, and the reduction rate of compressive strength decreases as the curing age grows. The mixing amount of emulsified asphalt has almost no influence on the flexural-tensile strength at normal temperature, so it can be ignored. The experimental result shows that the emulsified asphalt cement-stabilized macadam has good performance than traditional methods.

Keywords: Emulsified asphalt-cement stabilized macadam, mechanical strength, neural network algorithm, simulation.