Desenvolvimento de modelos de previsão de desempenho a partir da implantação de trechos monitorados na região de Santa Maria - RS

• Autor(a) principal: Santos, Mauricio Silveira dos
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Manancial - Repositório Digital da UFSM
• dARK ID: ark:/26339/001300000nj8x
• Texto Completo: http://repositorio.ufsm.br/handle/1/7886
• topic: Trechos monitorados; Modelos de previsão de desempenho; Durabilidade; Stretches monitored; Performance prediction models; Durability; CNPQ::ENGENHARIAS::ENGENHARIA CIVIL

In a country with continental dimensions like Brazil, road infrastructure that provides a displacement with comfort and safety is extremely important, once it is from these roads that the majority of supplies and people moves daily to distant regions. Is through appropriate management of corrective floors and measurements taken at the correct times that these highways provides safety and comfort to users in their displacement. One way to perform this management properly is making use of performance prediction models that makes the manager can predict the appearance of defects and the necessity of performing maintenance, providing financial resources required for repairs. Thus, the objective of this research is to monitor three highway stretches implemented in the region of Santa Maria - RS, checking their functional and structural performance in order to assist in the development of performance prediction models. To achieving the study, tests were performed at predetermined periods: Sand Patch, British Pendulum, Roughness, Rutting analysis, Distress identification and Deflections Basin Survey by Benkelman Beam and Falling Weight Deflectometer (FWD) at Roraima Avenue (restoration stretch), Hélvio Basso Avenue and Quartéis Intersection (new highway stretches). In these tests, quantitative and classifying counts of vehicles were made in order to find the number of equivalent demand of standard axis through the FEC calculation by AASHTO and USACE methodology. With that was obtained in all 34 performance prediction models for Avenues Roraima and Hélvio Basso (17 - AASHTO and 17 - USACE). No models have been developed for Quartéis Intersection once it is at the beginning of monitoring. In addition to performance prediction models, performance evaluations were carried out of three sections monitored the mediated that it were requested by the traffic, and found that the Roraima Avenue had the highest deflection values, IGG and cracked area. The Quartéis Intersection had the highest values of rutting. Back Analysis were performed by BAKFAA software to obtain resilient modulus in all layers of pavements studied and, in general, met values coherent with those studied in the literature. It was also made structural analysis by AEMC/SisPAv (2009) software in order to find the estimated durability in the highway stretches. The Roraima Avenue despite being an old stretch and present the highest amount of early distress, was the one that had the highest prediction of durability between the three analysed sections. Furthermore, structural analysis was performed for Roraima Avenue, by standard DNER PRO 011/1979, once it is a restored pavement, it was found that this stretch is expected five years and ten months of durability. Therefore, monitoring and obtaining performance prediction models are extremely important for the proper management of pavements.