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Relatam-se e discutem-se resultados obtidos em ações de uma tentativa para mostrar que o formato da seção transversal de rodovias pode ser usado para explicar uma parcela do comportamento de pavimentos e qualidade de viagens em estradas vicinais. Incluiu-se o uso de medidas sobre variáveis para explicação de estado de equipamentos para drenar água das vias. O tipo de variável usada para explicar o comportamento de pavimentos e qualidade de viagens foi a distribuição de notas atribuídas a viagens por segmentos de rodovias por um grupo de avaliadores treinados. A técnica estatística usada para análise dos dados foi a regressão linear múltipla passo a passo. Relata-se resultados de aplicação a um estudo de caso sobre um conjunto de rodovias vicinais próximo à Araraquara, estado de São Paulo. / lt is related and discussed the results from actions in an attempt to show that the format of the cross section of highways can be used to explain the behavior of the pavements and quality of trips in local highways. Measures on variables to explain the state of drainage equipments was taking into account. The variable used to explain the behavior of pavements and quality of trips was the distribution of scores attributed to the highway segments trips by a group of trained appraisers. The statistical technique used to analyze the data was the multiple linear step-by-step regressions. lt is told the application results to a case study on a set of local highway segments near the city of Araraquara, State of Sao Paulo.

Este trabalho relata e discute resultados obtidos em tentativa para mostrar que a distribuição de notas atribuídas às viagens por segmentos de rodovias, o formato da seção transversal e medidas sobre variáveis que classifiquem o estado ou funcionamento de equipamentos para drenar água de chuva, podem classificar e identificar informações que contribuam na manutenção ou construção de componentes de vias. Estas informações podem tornar possíveis melhorias nos serviços prestados pela superfície de pavimentos ao tráfego de veículos, e, por conseqüência, na qualidade de viagens por rodovias. O processo usado foi identificar e quantificar índices que expressam medidas de solicitação em equipamentos para drenar. O manuseio e análise ele dados adotaram métodos estatísticos para obter parâmetros de conseqüências de obras ou assemelhados que alterem a condução de água. O estudo de caso, usado para obtenção de argumentos que orientaram o trabalho, adotou um conjunto ele rodovias vicinais, localizado próximo à Araraquara, estado ele São Paulo, onde um grupo de pesquisadores levantou dados e analisou qualidade de viagens, pavimentos, geometria e drenagem. / It is related and discussed the results from actions in an attempt to show that the scores to trips on highways, the format of the cross section of highways and surveys on variables that classify drainage equipments can be used to classify information that contributes to maintenance and construction decisions. Measures on variables to explain the state of drainage equipments was taking into account. The variable used to explain the behavior of pavements and quality of trips was the distribution of scores attributed to the highway segments trips by a group of trained appraisers. The statistical technique used to analyze the data was the multiple linear step-by-step regressions. lt is told the application results to a case study on a set of local highway segments near the city of Araraquara, State of Sao Paulo.

Este trabalho relata e discute resultados obtidos em tentativa para mostrar que a distribuição de notas atribuídas às viagens por segmentos de rodovias, o formato da seção transversal e medidas sobre variáveis que classifiquem o estado ou funcionamento de equipamentos para drenar água de chuva, podem classificar e identificar informações que contribuam na manutenção ou construção de componentes de vias. Estas informações podem tornar possíveis melhorias nos serviços prestados pela superfície de pavimentos ao tráfego de veículos, e, por conseqüência, na qualidade de viagens por rodovias. O processo usado foi identificar e quantificar índices que expressam medidas de solicitação em equipamentos para drenar. O manuseio e análise ele dados adotaram métodos estatísticos para obter parâmetros de conseqüências de obras ou assemelhados que alterem a condução de água. O estudo de caso, usado para obtenção de argumentos que orientaram o trabalho, adotou um conjunto ele rodovias vicinais, localizado próximo à Araraquara, estado ele São Paulo, onde um grupo de pesquisadores levantou dados e analisou qualidade de viagens, pavimentos, geometria e drenagem. / It is related and discussed the results from actions in an attempt to show that the scores to trips on highways, the format of the cross section of highways and surveys on variables that classify drainage equipments can be used to classify information that contributes to maintenance and construction decisions. Measures on variables to explain the state of drainage equipments was taking into account. The variable used to explain the behavior of pavements and quality of trips was the distribution of scores attributed to the highway segments trips by a group of trained appraisers. The statistical technique used to analyze the data was the multiple linear step-by-step regressions. lt is told the application results to a case study on a set of local highway segments near the city of Araraquara, State of Sao Paulo.

In 2007, the Mechanistic-Empirical Pavement Design Guide (MEPDG) was successfully approved as the new American Association of State Highway and Transportation Officials (AASHTO) pavement design standard (Von Quintus et al., 2007). Calibration and validation of the MEPDG is currently in progress in several provinces across Canada. The MEPDG will be used as the standard pavement design methodology for the foreseeable future (Tighe, 2013). This new pavement design process requires several parameters specific to local conditions of the design location. In order to perform an accurate analysis, a database of parameters including those specific to local materials, climate and traffic are required to calibrate the models in the MEPDG. In 1989, the Canadian Strategic Highway Research Program (C-SHRP) launched a national full scale field experiment known as the Canadian Long-Term Pavement Performance (C-LTPP) program. Between the years, 1989 and 1992, a total of 24 test sites were constructed within all ten provinces. Each test site contained multiple monitored sections for a total of 65 sections. Each of these sites received rehabilitation treatments of various thicknesses of asphalt overlays. The C-LTPP program attempted to design and build the test sections across Canada so as to cover the widest range of experimental factors such as traffic loading, environmental region, and subgrade type. With planned strategic pavement data collection cycles, it would then be possible to compare results obtained at different test sites (i.e. across traffic levels, environmental zones, soil types) across the country. The United States Long-Term Pavement Performance (US-LTPP) database is serving as a critical tool in implementing the new design guide. The MEPDG was delivered with the prediction models calibrated to average national conditions. For the guide to be an effective resource for individual agencies, the national models need to be evaluated against local and regional performance. The results of these evaluations are being used to determine if local calibration is required. It is expected that provincial agencies across Canada will use both C-LTPP and US-LTPP test sites for these evaluations. In addition, C-LTPP and US-LTPP sites provide typical values for many of the MEPDG inputs (C-SHRP, 2000). The scope of this thesis is to examine the existing data in the C-LTPP database and assess its relevance to Canadian MEPDG calibration. Specifically, the thesis examines the dynamic modulus parameter (|E*|) and how it can be computed using existing C-LTPP data and an Artificial Neural Network (ANN) model developed under a Federal Highway Administration (FHWA) study (FHWA, 2011). The dynamic modulus is an essential property that defines the stiffness characteristics of a Hot Mix Asphalt (HMA) mixture as a function of both its temperature and rate of loading. |E*| is also a primary material property input required for a Level 1 analysis in the MEPDG. In order to perform a Level 1 MEPDG analysis, detailed local material, environmental and traffic parameters are required for the pavement section being analyzed. Additionally, it can be used in various pavement response models based on visco-elasticity. The dynamic modulus values predicted using both Level 2 and Level 3 viscosity-based ANN models in the ANNACAP software showed a good correlation to the measured dynamic modulus values for two C-LTPP test sections and supplementary Ontario mixes. These findings support previous research findings done during the development of the ANN models. The viscosity-based prediction model requires the least amount data in order to run a prediction. A Level 2 analysis requires mix volumetric data as well as viscosity testing and a Level 3 analysis only requires the PG grade of the binder used in the HMA. The ANN models can be used as an alternative to the MEPDG default predictions (Level 3 analysis) and to develop the master curves and determine the parameters needed for a Level 1 MEPDG analysis. In summary, Both the Level 2 and Level 3 viscosity-based model results demonstrated strong correlations to measured values indicating that either would be a suitable alternative to dynamic modulus laboratory testing. The new MEPDG design methodology is the future of pavement design and research in North America. Current MEPDG analysis practices across the country use default inputs for the dynamic modulus. However, dynamic modulus laboratory characterization of asphalt mixes across Canada is time consuming and not very cost-effective. This thesis has shown that Level 2 and Level 3 viscosity-based ANN predictions can be used in order to perform a Level 1 MEPDG analysis. Further development and use of ANN models in dynamic modulus prediction has the potential to provide many benefits.

This report focuses on the impacts of traffic generated as a result of the windmill on pavement structures. The wind energy industry is a fast growing sector of the U.S. economy. Lately concerns have been raised over the transportation of heavy windmill components on the pavement infrastructure. This report analyzes the impacts of windmill traffic on two pavement structures in Texas: 1) rural interstate facility, and 2) rural collector roadway facility. Windmill traffic was disaggregated by windmill component and categorized into eight vehicle classes. Two traffic scenarios were developed and a damage ratio for pavement rutting was developed. Based on the rutting damage ratio, results showed that windmill traffic has a significant impact on rural collector facilities when compared against normal truck traffic activity. Meanwhile, impacts on rural interstate facilities were determined to be insignificant when compared to normal truck traffic activity. / text

In 2007, the Mechanistic-Empirical Pavement Design Guide (MEPDG) was successfully approved as the new American Association of State Highway and Transportation Officials (AASHTO) pavement design standard (Von Quintus et al., 2007). Calibration and validation of the MEPDG is currently in progress in several provinces across Canada. The MEPDG will be used as the standard pavement design methodology for the foreseeable future (Tighe, 2013). This new pavement design process requires several parameters specific to local conditions of the design location. In order to perform an accurate analysis, a database of parameters including those specific to local materials, climate and traffic are required to calibrate the models in the MEPDG. In 1989, the Canadian Strategic Highway Research Program (C-SHRP) launched a national full scale field experiment known as the Canadian Long-Term Pavement Performance (C-LTPP) program. Between the years, 1989 and 1992, a total of 24 test sites were constructed within all ten provinces. Each test site contained multiple monitored sections for a total of 65 sections. Each of these sites received rehabilitation treatments of various thicknesses of asphalt overlays. The C-LTPP program attempted to design and build the test sections across Canada so as to cover the widest range of experimental factors such as traffic loading, environmental region, and subgrade type. With planned strategic pavement data collection cycles, it would then be possible to compare results obtained at different test sites (i.e. across traffic levels, environmental zones, soil types) across the country. The United States Long-Term Pavement Performance (US-LTPP) database is serving as a critical tool in implementing the new design guide. The MEPDG was delivered with the prediction models calibrated to average national conditions. For the guide to be an effective resource for individual agencies, the national models need to be evaluated against local and regional performance. The results of these evaluations are being used to determine if local calibration is required. It is expected that provincial agencies across Canada will use both C-LTPP and US-LTPP test sites for these evaluations. In addition, C-LTPP and US-LTPP sites provide typical values for many of the MEPDG inputs (C-SHRP, 2000). The scope of this thesis is to examine the existing data in the C-LTPP database and assess its relevance to Canadian MEPDG calibration. Specifically, the thesis examines the dynamic modulus parameter (|E*|) and how it can be computed using existing C-LTPP data and an Artificial Neural Network (ANN) model developed under a Federal Highway Administration (FHWA) study (FHWA, 2011). The dynamic modulus is an essential property that defines the stiffness characteristics of a Hot Mix Asphalt (HMA) mixture as a function of both its temperature and rate of loading. |E*| is also a primary material property input required for a Level 1 analysis in the MEPDG. In order to perform a Level 1 MEPDG analysis, detailed local material, environmental and traffic parameters are required for the pavement section being analyzed. Additionally, it can be used in various pavement response models based on visco-elasticity. The dynamic modulus values predicted using both Level 2 and Level 3 viscosity-based ANN models in the ANNACAP software showed a good correlation to the measured dynamic modulus values for two C-LTPP test sections and supplementary Ontario mixes. These findings support previous research findings done during the development of the ANN models. The viscosity-based prediction model requires the least amount data in order to run a prediction. A Level 2 analysis requires mix volumetric data as well as viscosity testing and a Level 3 analysis only requires the PG grade of the binder used in the HMA. The ANN models can be used as an alternative to the MEPDG default predictions (Level 3 analysis) and to develop the master curves and determine the parameters needed for a Level 1 MEPDG analysis. In summary, Both the Level 2 and Level 3 viscosity-based model results demonstrated strong correlations to measured values indicating that either would be a suitable alternative to dynamic modulus laboratory testing. The new MEPDG design methodology is the future of pavement design and research in North America. Current MEPDG analysis practices across the country use default inputs for the dynamic modulus. However, dynamic modulus laboratory characterization of asphalt mixes across Canada is time consuming and not very cost-effective. This thesis has shown that Level 2 and Level 3 viscosity-based ANN predictions can be used in order to perform a Level 1 MEPDG analysis. Further development and use of ANN models in dynamic modulus prediction has the potential to provide many benefits.

Relatam-se e discutem-se resultados obtidos em ações de uma tentativa para mostrar que o formato da seção transversal de rodovias pode ser usado para explicar uma parcela do comportamento de pavimentos e qualidade de viagens em estradas vicinais. Incluiu-se o uso de medidas sobre variáveis para explicação de estado de equipamentos para drenar água das vias. O tipo de variável usada para explicar o comportamento de pavimentos e qualidade de viagens foi a distribuição de notas atribuídas a viagens por segmentos de rodovias por um grupo de avaliadores treinados. A técnica estatística usada para análise dos dados foi a regressão linear múltipla passo a passo. Relata-se resultados de aplicação a um estudo de caso sobre um conjunto de rodovias vicinais próximo à Araraquara, estado de São Paulo. / lt is related and discussed the results from actions in an attempt to show that the format of the cross section of highways can be used to explain the behavior of the pavements and quality of trips in local highways. Measures on variables to explain the state of drainage equipments was taking into account. The variable used to explain the behavior of pavements and quality of trips was the distribution of scores attributed to the highway segments trips by a group of trained appraisers. The statistical technique used to analyze the data was the multiple linear step-by-step regressions. lt is told the application results to a case study on a set of local highway segments near the city of Araraquara, State of Sao Paulo.

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abstract: The accurate prediction of pavement network condition and performance is important for efficient management of the transportation infrastructure system. By reducing the error of the pavement deterioration prediction, agencies can save budgets significantly through timely intervention and accurate planning. The objective of this research study was to develop a methodology for calculating a pavement condition index (PCI) based on historical distress data collected in the databases from Long-Term Pavement Performance (LTPP) program and Minnesota Road Research (Mn/ROAD) project. Excel™ templates were developed and successfully used to import distress data from both databases and directly calculate PCIs for test sections. Pavement performance master curve construction and verification based on the PCIs were also developed as part of this research effort. The analysis and results of LTPP data for several case studies indicated that the study approach is rational and yielded good to excellent statistical measures of accuracy. It is believed that the InfoPaveTM LTPP and Mn/ROAD database can benefit from the PCI templates developed in this study, by making them available for users to compute PCIs for specific road sections of interest. In addition, the PCI-based performance model development can be also incorporated in future versions of InfoPaveTM. This study explored and analyzed asphalt pavement sections. However, the process can be also extended to Portland cement concrete test sections. State agencies are encouraged to implement similar analysis and modeling approach for their specific road distress data to validate the findings. / Dissertation/Thesis / Masters Thesis Civil Engineering 2015