Application of Grey Clustering Method for Quality Grade Estimate of Recycled Concrete Coarse Aggregate
Bao Xueying and Wang Qicai
DOI:10.11835/j.issn.1674-4764.2014.03.018
Received September 09, 2013,Revised , Accepted , Available online July 01, 2015
Volume ,2014,Pages 112-117
- Abstract
A comprehensive estimate scheme employed multiple parameters is proposed for quality grade of recycled concrete coarse aggregate based on grey clustering theory. In the scheme, seven parameters are selected as comprehensive evaluation indices according to Recycled Coarse Aggregate for Concrete of China. The parameters are apparent density, porosity, sturdiness, crushing index, micro-mist content, silt content and water absorption respectively. Secondly, weighted similarity method is adopted to determine the objective weight, and divide the quality grade into four grey ranks according to characteristics of grade assignment interval of the indices. Then, whitening weight function is employed to make an estimate model, by which the quality grade estimate result of recycled concrete coarse aggregate can be achieved through compute of grey clustering coefficients. Finally, a case study is adopted to verify the practicability of the proposed scheme.