Proposição de um sistema de classificação das propriedades de forma de agregados caracterizados com o uso do processamento digital de imagens a partir de materiais oriundos do Brasil

Abstract

The cons#tuent aggregates of the asphalt mixtures correspond to about 90% of their volumes. The behavior of these mixtures, concerning the main problems of the pave-ment (permanent deforma#on, fa#gue cracking and thermal cracking), is directly re-lated to the characteris#cs of these aggregates. Aggregate Imaging Measurement Sys-tem 2 (AIMS2) is established as one of the main techniques of Digital Image Processing (DIP) for the characteriza#on of the shape proper#es of aggregates used in Transporta-#on Infrastructure, using direct and efficient methods. Considering the importance of evalua#ng these characteris#cs, this research aimed to propose a system of classifica-#on of the shape proper#es based on the results of AIMS2, using a database composed of aggregates of dis#nct mineralogies, coming from different loca#ons in Brazil. To gen-erate the limit values of the proposed classifica#on, the cluster sta#s#cal method was used. Finally, the proposed classifica#on was compared to other exis#ng classifica#ons and the results showed that an aggregate can be classified differently, depending on the system adopted. This conclusion is important because the class in which a material is categorized can be determinant for its selec#on, in the project scope, depending on the proper#es required for its applica#on.