Fuzzy Synthesis Method for Evaluating Quality Class of Coarse Recycled Concrete Aggregate
It’s necessary evaluating for quality of coarse recycled concrete aggregate (CRA) before it is used as feasible alternative of natural coarse aggregate (NCA). The factors affecting the quality of CRA, however, being multitudinous and complicated so much, associated to regional characteristic of CRA, led to a research on evaluating quality of CRA from China. First, the CRA was partitioned into three fuzzy quality classes corresponded to high, middle, and poor, respectively, whose applicable environment action grades and projects in terms of quality classes were suggested. Second, a fuzzy synthesis method how to evaluate quality classes was proposed. The present method used six indices, i.e., attached mortar content, bulk specific density, water absorption, Los Angeles abrasion loss, chlorid content and sulfate content. The weights for six indices were obtained based on credibility matrix and frequency statistic and the memberships based on optimum-intervel-style membership function. Using fuzzy weighted average operator, judgment matrix was calculated and synthetic membership score was considered as quality class judgment standard. Last, large numbers of engineering examples were computed using a program compiled in Matlab language. Computing results show that the present method is objective and reliable.
Guangfan Li, Yong Huang and Chaohe Chen
P. H. Zhu et al., "Fuzzy Synthesis Method for Evaluating Quality Class of Coarse Recycled Concrete Aggregate", Advanced Materials Research, Vols. 250-253, pp. 783-787, 2011