Grey Correlation Analysis of Physical Properties and Evaluation Index of Graphene-Oxide-Modified Asphalt

Abstract

The purpose of this study is to analyze the behavior of the performance index of graphene-oxide-modified asphalt. The deviation problem caused by determining graphene oxide content by single performance or several independent properties is also investigated. By testing the physical properties of graphene-oxide-modified asphalt with different admixtures (0%, 0.5%, 1.0%, 1.5%, 2.0% by mass) in terms of viscosity, penetration, softening point, ductility, rheology, etc., it is concluded that the addition of graphene oxide could improve the individual properties of the matrix asphalt by 3% to 250%. Moreover, the grey correlation analysis method is used to calculate and analyze the correlation between the performance of graphene-oxide-modified asphalt and the content of graphene oxide. The latter has the most significant effect on the softening point, the penetration, and the 135 °C Brookfield viscosity of modified asphalt. The content of graphene oxide in graphene-oxide-modified asphalt is calculated based on the above three performance indexes, and an estimation error of less than 0.15% is observed. This proves that the new determination method is reasonable. Finally, by combining the macroscopic properties and the multi-factor statistical analysis, a reference basis is provided for the quality control of the graphene-oxide-modified asphalt.

Experimental Research on Collapsibility of Xi’an Loess Improved by Calcium Lignosulfonate

“…Finally, the correlation coefficient matrix L and the relational degree γi were calculated and ranked for analysis. Each factor in the correlation coefficient matrix L was calculated using the following equation [26]:…”

“…As seen from the table, the correlation rankings derived from the single and double-oedometer methods were consistent, and the order of the sensitive factors of improved loess collapsibility coefficient was moisture content, pore ratio, dry density, and CLS content, in that order. Each factor in the correlation coefficient matrix L was calculated using the following equation [26]:…”