Avaliação da influência da granulometria na aderência pneu-pavimento

• Ano de defesa: 2013
• Autor(a) principal: Rodrigues, Amanda Cavalcante
• Orientador(a): Soares, Jorge Barbosa
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Palavras-chave em Português: Transportes; Atrito; Pavimentos; Segurança viária
• Link de acesso: http://www.repositorio.ufc.br/handle/riufc/11176

A difficulty that affects pavement contractors regarding road safety is to achieve minimum values of surface friction required to the pavement in the field. Minimum values of microtexture tested through the British pendulum and ranges of macrotexture tested by the sand patch test are found in the DNIT Manual of Asphalt Pavements Restoration (2006). In situations where the friction parameters are controlled, oftentimes the pavement needs to be reexecuted when the micro and macrotexture do not meet the required values. This is a problem only observed during the construction phase as friction is not determined indirectly in the laboratory during the design phase. Research indicates that changes in the properties of the aggregates and the particle size can affect the microtexture and macrotexture of the surface course. In order to contribute to the topic of friction, seeking the prediction of this parameter in the laboratory, this work aimed to develop a methodology capable of evaluating gradations and the effect of the sieve fractions of materials in the of pavement surface friction. The proposed methodology consisted in comparing the texture of the asphalt mixture compacted in laboratory, and field tests using sand patch and British pendulum. It also aimed to develop a model to predict the value of macrotexture of the surface course through the gradation of the asphalt mixtures studied. The model was composed by data of retained fractions in sieve #40 to 3/8". The main results obtained led to the conclusion that the methodology developed in the laboratory was consistent in the aspect of microtexture between field and laboratory. Regarding the model, there was a satisfactory correlation, indicating the potential of predicting macrotexture in the design phase from the mixture gradation