Unascertained Average Clustering Analysis on SMA Mixture Ratio Design

Chang Ping Wen; Liang Zhao

doi:10.4028/www.scientific.net/AMR.639-640.539

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 639-640Unascertained Average Clustering Analysis on SMA...

Unascertained Average Clustering Analysis on SMA Mixture Ratio Design

Abstract:

Based on unascertained mathematical theory, the unascertained average clustering model (UACM) is established in the ratio design of stone matrix asphalt (SMA). Six parameters including Marshall stability, flow value, volume of air voids (VV), void in the mineral mixture (VMA), VCAmix, and asphalt saturation are selected as the index in the clustering analysis to establish UACM of design indexes including penetration, ductility, softening point, percent passing 9.5 mm sieve, percent passing 4.75 mm sieve, percent passing 0.075 mm sieve, and the asphalt-aggregate ratio respectively. The study shows that UACM has strong applicability; the results meet the engineering requirements, and can be provided a new way of SMA mixture ratio design in practical engineering.

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Periodical:

Advanced Materials Research (Volumes 639-640)

Pages:

539-543

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.639-640.539

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Online since:

January 2013

Authors:

Chang Ping Wen, Liang Zhao

Keywords:

Clustering Analysis, Ratio Design, SMA, Unascertained Average

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