Determination method of optimum asphalt content of SMA mixture considering homogeneity

  • GUO Nai-sheng ,
  • LI Wei ,
  • ZHAO Ying-hua ,
  • TAN Yi-qiu
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  • (1. Institute of Road and Bridge Engineering, Dalian Maritime University, Dalian, 116026,  China; 2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)

Received date: 2017-02-21

  Revised date: 2017-03-23

  Online published: 2017-03-27

Abstract

In order to determine the optimum asphalt content of stone mastic asphalt (SMA) mixture precisely, the characteristics of inner structure of components of SMA mixture were identified by using CT technique. The relationship between the inner characteristics of components and the Marshall volumetric parameters for SMA mixture was analyzed, and the homogeneity of inner structure of the SMA mixture was taken into account, and then a determination method of the optimum asphalt content of SMA mixture was established, and three types of SMA mixtures (SMA-13, SMA-16 and SMA-20) were chosen to verify the method through Marshall design method. Results show that the volume of air voids obtained by using CT technique exhibits a favorable consistency with that measured by the density tests for SMA mixture with different asphalt contents. The average differences between the voids in mineral aggregate, the voids filled with asphalt and those obtained by Marshall design method are 0.35% and 1.45%, respectively. The optimum asphalt contents of SMA mixtures (SMA-13, SMA-16 and SMA-20) are determined based on Marshall design method, and the differences between those and the optimum asphalt contents achieved by the proposed method are 0.08%, 0.18% and 0.15%, respectively, which demonstrates the effectiveness of the proposed method.

Cite this article

GUO Nai-sheng , LI Wei , ZHAO Ying-hua , TAN Yi-qiu . Determination method of optimum asphalt content of SMA mixture considering homogeneity[J]. Journal of Dalian Maritime University, 2017 , 43(2) : 115 -122 . DOI: 10.16411/j.cnki.issn1006-7736.2017.02.018

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