Elaboração de modelos de desempenho para pavimentos rodoviários de concreto de cimento Portland utilizando parâmetros microestruturais: estudo de caso da BR-101/PB

• Autor(a) principal: Araújo Junior, Moacir Carlos
• Data de Publicação: 2022
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFPB
• Texto Completo: https://repositorio.ufpb.br/jspui/handle/123456789/27062
• topic: Pavimento - Modelo de desempenho; ICP - Índice de Condição de Pavimento; Pavimento rígido - BR-101/PB; Microestrutura do concreto - Cimento Portland; Floor - Performance model; PCI - Pavement Condition Index; Rigid pavement - BR-101/PB; Microstructure of concrete - Portland cement; CNPQ::ENGENHARIAS

A good application of resources for pavement maintenance and restoration activities depends, among other factors, on road management systems. For this, it is essential to use representative performance models for each region. The work consists in the elaboration of two performance models for the rigid pavement of BR-101/PB, with one of them using materials characterization techniques. For this, data were collected from the period of operation of the highway between the years 2008 and 2019. The Pavement Condition Index - ICP was defined as a performance parameter. Initially, a model was developed using sources commonly used in road engineering. Thirty-six road study points were determined from concrete along the road where they were tested to the slab test, which allowed, through the laboratory, the macrostructural characterization of the slabs, identification of resistance to tests, tensile strength, health module, Poisson's ratio and carbonation front. This first performance model, based on de use of 18 independent variables and 89 observations, obtained a coefficient of determination of 0,77. Subsequently, this model of variable characteristics was concreted from the characterization of the Portland cement structure of the pavement slabs, generating the second performance model with microstructural parameters. For this, X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Thermogravimetry (TG) and Infrared Spectroscopy (IR) tests were carried out, which provide qualitative and quantitative information about the presence of the concrete in the slabs. The model obtained, based on the use of 8 independents variables and 57 observations, obtained a coefficient of determination of 0,79. The two performance models generated are not a contribution in the area of pavement management, but also a potential that road engineering offers.