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Advances in Materials Science and Engineering
Volume 2017 (2017), Article ID 1048172, 9 pages
https://doi.org/10.1155/2017/1048172
Research Article

The Variability and Evaluation Method of Recycled Concrete Aggregate Properties

1Engineering Research Center of Urban Transportation, Beijing University of Technology, No. 100 Pin Le Yuan, Chaoyang District, Beijing 100124, China
2College of Metropolitan Transportation, Beijing University of Technology, No. 100 Pin Le Yuan, Chaoyang District, Beijing 100124, China
3College of Engineering and Applied Science, University of Cincinnati, Cincinnati, OH 45221, USA

Correspondence should be addressed to Zhiqing Zhang; nc.ude.tujb@gniqihzgnahz

Received 14 April 2017; Revised 9 July 2017; Accepted 12 September 2017; Published 23 October 2017

Academic Editor: Hainian Wang

Copyright © 2017 Zhiqing Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the same sources and regeneration techniques, given RA’s properties may display large variations. The same single property index of different sets maybe has a large difference of the whole property. How shall we accurately evaluate the whole property of RA? 8 groups of RAs from pavement and building were used to research the method of evaluating the holistic characteristics of RA. After testing and investigating, the parameters of aggregates were analyzed. The data of physical and mechanical properties show a distinct dispersion and instability; thus, it has been difficult to express the whole characteristics in any single property parameter. The Euclidean distance can express the similarity of samples. The closer the distance, the more similar the property. The standard variance of the whole property Euclidean distances for two types of RA is and , respectively, which shows that the property of building RA has great fluctuation, while pavement RA is more stable. There are certain correlations among the apparent density, water absorption, and crushed value of RAs, and the Mahalanobis distance method can directly evaluate the whole property by using its parameters: mean, variance, and covariance, and it can provide a grade evaluation model for RAs.