Development Of A Prediction Model For Skid Resistance Of Asphalt Pavements
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Development Of A Prediction Model For Skid Resistance Of Asphalt Pavements
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Author : Arash Rezaei
language : en
Publisher:
Release Date : 2012
Development Of A Prediction Model For Skid Resistance Of Asphalt Pavements written by Arash Rezaei and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
The skid resistance of asphalt pavement is a major characteristic that determines the driving safety on a road, especially under wet surface conditions. Skid resistance is primarily a function of the microtexture and macrotexture of a pavement surface. Microtexture is influenced by aggregate surface characteristics and is required to disrupt the continuity of surface water film and attain frictional resistance between the tire and the pavement surface. Macrotexture is affected mostly by mixture design or aggregate gradation and contributes to skid resistance by providing drainage paths of water that can be otherwise trapped between a tire and a pavement surface. The increase in macrotexture contributes to preventing hydroplaning and improving wet frictional resistance, particularly at high speeds. While much research has been conducted in the past to identify material factors that affect skid resistance, there is still a need to develop a model for predicting asphalt pavement skid resistance as a function of mixture characteristics and traffic level. The purpose of this study was to develop such a model based on extensive laboratory experiments and field measurements involving different mixture types and aggregate sources. The model incorporates functions that describe the resistance of aggregates to polishing and aggregate size distribution. The aggregate resistance to polishing was quantified by measuring aggregate texture using the Aggregate Imaging System (AIMS) before and after polishing in the Micro-Deval device. The analysis in this dissertation demonstrates how this model can be used to design mixtures and classify aggregates that provide desirable skid resistance levels.
Development Of Prediction Models For Skid Resistance Of Asphalt Pavements
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Author : Sand Aldagari
language : en
Publisher:
Release Date : 2017
Development Of Prediction Models For Skid Resistance Of Asphalt Pavements written by Sand Aldagari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Pavements, Asphalt categories.
Pavement skid resistance is one of the primary factors in highway safety. Pavements with adequate skid resistance reduce the number of crashes in wet conditions. The friction between pavement surface and vehicle tires is related to the macrotexture and microtexture of pavement surface. The macrotexture of asphalt pavement is dependent on aggregate gradation, while the microtexture is dependent on aggregate shape characteristics. Aggregates with angular shape and rough texture provide higher level of skid resistance compared to aggregates with smooth surface. In addition, pavement surfaces with high macrotexture provide higher skid resistance compared to those with low macrotexture. There were two main objectives of this study. The first object was to investigate and examine the surface and friction characteristics of various test sections of asphalt mixtures as well as seal coat surfaces. The test sections included different asphalt mixture types (e.g., dense graded, stone matrix asphalt, porous friction course), seal coat grades (Grade 1, Grade 2, and Grade 3), aggregate types (e.g., limestone, gravel, granite, sandstone), and the test sections were located in regions with different environmental conditions. The second objective was to develop a predictive model for skid resistance of seal coat surfaces and validate and revise an existing skid prediction model for asphalt pavements. Field testing primarily included measurements of coefficient of friction using a dynamic friction tester, pavement surface texture using a circular texture meter, and skid number using a skid trailer. The measurements were conducted on the outer lane where pavement surfaces experience significant polishing rates because most of the trucks use that lane. The resistance of aggregate to polishing and abrasion was studied using laboratory test methods. Several analytical models were developed to predict the friction and skid resistance of asphalt pavements and seal coat surfaces over their service life. These models incorporate parameters that describe aggregate resistance to abrasion and polishing, aggregate shape characteristics, aggregate gradation, and traffic level. These models were developed based on comprehensive field testing and aggregate laboratory characterization. Good correlations were found between the developed models and experimental data. The results demonstrated that aggregate and surface characteristics as well as traffic level have significant effect on skid resistance and rate of skid reduction. These models can be used during the mix design procedure to optimize the aggregate selection and aggregate gradation to produce mixtures with proper friction. In addition, these models can be incorporated in a Project Management System (PMS) at the network level to plan and program preventive maintenance activities to ensure that pavements have adequate skid resistance.
Validation Of Asphalt Mixture Pavement Skid Prediction Model And Development Of Skid Prediction Model For Surface Treatments
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Author : Arif Chowdhury
language : en
Publisher:
Release Date : 2017
Validation Of Asphalt Mixture Pavement Skid Prediction Model And Development Of Skid Prediction Model For Surface Treatments written by Arif Chowdhury and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Aggregates (Building materials) categories.
Pavement skid resistance is primarily a function of the surface texture, which includes both microtexture and macrotexture. Earlier, under the Texas Department of Transportation (TxDOT) Research Project 0-5627, the researchers developed a method to predict asphalt pavement skid resistance based on inputs including aggregate texture before and after polishing, gradation of asphalt mixture, and traffic levels. In this study, the researchers validated and revised the skid prediction model for asphalt pavements and developed oped a skid prediction model for seal coat surfaces. The researchers investigated and examined the surface friction characteristics of 70 test sections of asphalt mixtures and surface-treated roads in Texas. The test sections covered a wide range of mixtures and aggregate types. The researchers measured pavement macrotexture and microtexture of these sections and revised the traffic calculation. Historical skid numbers were obtained from TxDOT's Pavement Management Information System database and measured using a skid trailer. Aggregate texture and angularity was quantified using the aggregate image measurement system. Statistical methods were used to develop a prediction model for skid numbers, and the predicted values were compared to the measured ones in the field. The revised model describes the skid resistance of asphalt pavements as a function of aggregate characteristics, mixture gradation, and traffic level. The researchers incorporated aggregate angularity as an additional parameter in the model. Similarly, the researchers developed a skid prediction model for seal coat surfaces using the same parameters. A Microsoft Access--based Visual Basic desktop application was developed to automatically calculate the predicted skid numbers by incorporating the skid prediction mode ls. Using this standalone application, one can input the basic aggregate characteristics and traffic data to predict the pavement's skid resistance during its service life.
Design Prediction Of Pavement Skid Resistance From Laboratory Tests
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Author : William H. Parcells
language : en
Publisher:
Release Date : 1980
Design Prediction Of Pavement Skid Resistance From Laboratory Tests written by William H. Parcells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Motor vehicles categories.
Develops and refines methods for pre-evaluating aggregates and paving mixtures so that predictions can be made covering skid resistance properties of proposed and in service pavement types.
Predictor Model For Seasonal Variations In Skid Resistance
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Author :
language : en
Publisher:
Release Date : 1984
Predictor Model For Seasonal Variations In Skid Resistance written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Automobile driving in rain categories.
Two models, utilizing data collected in 1979 and 1980, were developed to predict variations in skid resistance due to rainfall conditions, temperature effects, and time of the year. A generalized predictor model was developed from purely statistical considerations and a mechanistic model was developed from hypothesized mechanisms. This model may be utilized to estimate the skid resistance at any time in the season from a measurement made during the same season, or to adjust skid-resistance measurement made at any time during the season to the end-of-season level. For the purpose of these estimates it is necessary only to know the length of time since the last rainfall, the 30-day temperature history from a nearby weather recording station, the average daily traffic, and a skid-resistance measurement and the date on which it was made. The mechanistic model requires, in addition to the above inputs, two pavement properties describing the polishing characteristics of the aggregate and an estimate of the percent normalized gradient of the skid resistance. The application of these models is summarized in Vol. I. Their development is given in Vol. II.
Advances In Materials And Pavement Prediction
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Author : Eyad Masad
language : en
Publisher: CRC Press
Release Date : 2018-07-16
Advances In Materials And Pavement Prediction written by Eyad Masad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-16 with Technology & Engineering categories.
Advances in Materials and Pavement Performance Prediction contains the papers presented at the International Conference on Advances in Materials and Pavement Performance Prediction (AM3P, Doha, Qatar, 16- 18 April 2018). There has been an increasing emphasis internationally in the design and construction of sustainable pavement systems. Advances in Materials and Pavement Prediction reflects this development highlighting various approaches to predict pavement performance. The contributions discuss links and interactions between material characterization methods, empirical predictions, mechanistic modeling, and statistically-sound calibration and validation methods. There is also emphasis on comparisons between modeling results and observed performance. The topics of the book include (but are not limited to): • Experimental laboratory material characterization • Field measurements and in situ material characterization • Constitutive modeling and simulation • Innovative pavement materials and interface systems • Non-destructive measurement techniques • Surface characterization, tire-surface interaction, pavement noise • Pavement rehabilitation • Case studies Advances in Materials and Pavement Performance Prediction will be of interest to academics and engineers involved in pavement engineering.
Development Of Pavement Prediction Models
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Author : Ying-Haur Lee
language : en
Publisher:
Release Date : 1994
Development Of Pavement Prediction Models written by Ying-Haur Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Pavements categories.
Skid Resistance Predictive Models For Asphaltic Concrete Surface Courses
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Author : MA. Lee
language : en
Publisher:
Release Date : 1982
Skid Resistance Predictive Models For Asphaltic Concrete Surface Courses written by MA. Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Asphalt concrete categories.
Skid resistance performance models for dense and open graded asphaltic concrete surface courses are presented. Previous studies for dense graded mixes and high traffic volumes resulted in a predictive linear model for the skid number (SN) at 100 km/h (60 mph) (SN100) in terms of known aggregate and mix parameters and available traffic data. However, the SN100 does approach a constant level requiring a rational function to describe traffic influences. Further work has confirmed the overall importance of mix designs in achieving desired skid resistance with accumulated traffic influences, particularly in preventing coarse aggregate immersion due to traffic compaction. High stability mixes (all steel slag, blast furnace slag, or traprock, for instance) have proven most suitable, and coarse aggregate factors such as polished stone value and aggregate abrasion value are of secondary importance once adequate levels are provided. Using a wider range of test sections, improved predictive models have been developed for various traffic volumes and surface types. Full details on model development are given.
Developing A Dynamic Prediction Model For As Built Roughness Of Highway Pavement Construction
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Author : Duk Gyoo Lee
language : en
Publisher:
Release Date : 2004
Developing A Dynamic Prediction Model For As Built Roughness Of Highway Pavement Construction written by Duk Gyoo Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Advances In Materials And Pavement Prediction
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Author : Eyad Masad
language : en
Publisher: CRC Press
Release Date : 2018-07-16
Advances In Materials And Pavement Prediction written by Eyad Masad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-16 with Technology & Engineering categories.
Advances in Materials and Pavement Performance Prediction contains the papers presented at the International Conference on Advances in Materials and Pavement Performance Prediction (AM3P, Doha, Qatar, 16- 18 April 2018). There has been an increasing emphasis internationally in the design and construction of sustainable pavement systems. Advances in Materials and Pavement Prediction reflects this development highlighting various approaches to predict pavement performance. The contributions discuss links and interactions between material characterization methods, empirical predictions, mechanistic modeling, and statistically-sound calibration and validation methods. There is also emphasis on comparisons between modeling results and observed performance. The topics of the book include (but are not limited to): • Experimental laboratory material characterization • Field measurements and in situ material characterization • Constitutive modeling and simulation • Innovative pavement materials and interface systems • Non-destructive measurement techniques • Surface characterization, tire-surface interaction, pavement noise • Pavement rehabilitation • Case studies Advances in Materials and Pavement Performance Prediction will be of interest to academics and engineers involved in pavement engineering.