Coleta, estruturação e análise de um banco de dados de ensaios sobre misturas asfálticas e seus componentes

Abstract

This study presents the structuring of a database for laboratory tests on asphalt mixtures, including information on binders, aggregates, and different types of mixtures, such as conventional, modified, and recycled ones (with RAP – Reclaimed Asphalt Pavement). The objective is to organize and make this data available in a structured and accessible manner, facilitating studies and applications in pavement engineering. The construction of the database involved collecting, standardizing, and organizing information from various laboratory tests, ensuring an efficient system for storing, retrieving, and analyzing results. A total of 355 asphalt mixtures were collected. The database gathers a wide variety of binders, classified by performance grade (PG), penetration, viscosity, softening point, thermal susceptibility, ductility, and fatigue resistance. It also includes data on aggregates, such as gradation and adhesion to the bituminous binder. For asphalt mixtures, different binder contents, resilient modulus, and dynamic modulus are recorded, along with mechanical behavior curves that consider sigmoidal curve coefficients and temperature shift factors for complex modulus testing. In addition to the stored results, the database includes a glossary of tests, listing key information such as descriptions, standards, and execution procedures. Besides storing raw results, the database enables statistical analyses, assisting in the interpretation of trends and material variability. This information can be used to evaluate mixture performance, optimize dosage, and develop predictive modeling. The systematization of data improves the organization of laboratory information and establishes a foundation for future research, contributing to new pavement techniques and the enhancement of road infrastructure. The database is an open resource for researchers and professionals, driving progress in pavement engineering.