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Author: Arif Chowdhury
Publisher:
ISBN:
Category : Aggregates (Building materials)
Languages : en
Pages : 47
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Book Description
Contains images of a slide presentation for a Texas Department of Transportation workshop. Includes a background summary of TxDOT Research Project 0-5627, and research tasks and findings from Project 0-6746; demonstration of Skid Analysis of Asphalt Pavement (SAAP) software; several examples that run the revised program, including hot-mix asphalt (HMA), seal coat, aggregate sources and properties, aggregate combinations, average annual daily traffic (AADT) and truck traffic; and limitations of SAAP.
Author: Arif Chowdhury
Publisher:
ISBN:
Category : Aggregates (Building materials)
Languages : en
Pages : 47
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Book Description
Contains images of a slide presentation for a Texas Department of Transportation workshop. Includes a background summary of TxDOT Research Project 0-5627, and research tasks and findings from Project 0-6746; demonstration of Skid Analysis of Asphalt Pavement (SAAP) software; several examples that run the revised program, including hot-mix asphalt (HMA), seal coat, aggregate sources and properties, aggregate combinations, average annual daily traffic (AADT) and truck traffic; and limitations of SAAP.
Author: Arif Chowdhury
Publisher:
ISBN:
Category : Aggregates (Building materials)
Languages : en
Pages : 154
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Book Description
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.
Author: Fujie Zhou
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages : 200
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Book Description
Author: Sand Aldagari
Publisher:
ISBN: 9781369538816
Category : Pavements, Asphalt
Languages : en
Pages : 256
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Book Description
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.
Author: Adrain Reed Gibby
Publisher:
ISBN:
Category :
Languages : en
Pages : 380
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Book Description
Author: Arash Rezaei
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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.
Author: Sven Agardh
Publisher:
ISBN: 9789162865559
Category :
Languages : en
Pages : 111
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Book Description
Author: Dallas N. Little
Publisher: Springer
ISBN: 331958443X
Category : Technology & Engineering
Languages : en
Pages : 702
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Book Description
This textbook lays out the state of the art for modeling of asphalt concrete as the major structural component of flexible pavements. The text adopts a pedagogy in which a scientific approach, based on materials science and continuum mechanics, predicts the performance of any configuration of flexible roadways subjected to cyclic loadings. The authors incorporate state-of the-art computational mechanics to predict the evolution of material properties, stresses and strains, and roadway deterioration. Designed specifically for both students and practitioners, the book presents fundamentally complex concepts in a clear and concise way that aids the roadway design community to assimilate the tools for designing sustainable roadways using both traditional and innovative technologies.
Author:
Publisher: AASHTO
ISBN: 1560514280
Category : Pavements
Languages : en
Pages : 87
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Book Description
This report contains guidelines and recommendations for managing and designing for friction on highway pavements. The contents of this report will be of interest to highway materials, construction, pavement management, safety, design, and research engineers, as well as others concerned with the friction and related surface characteristics of highway pavements.
Author: American Association of State Highway and Transportation Officials
Publisher: AASHTO
ISBN: 1560510552
Category : Pavements
Languages : en
Pages : 622
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Book Description
Design related project level pavement management - Economic evaluation of alternative pavement design strategies - Reliability / - Pavement design procedures for new construction or reconstruction : Design requirements - Highway pavement structural design - Low-volume road design / - Pavement design procedures for rehabilitation of existing pavements : Rehabilitation concepts - Guides for field data collection - Rehabilitation methods other than overlay - Rehabilitation methods with overlays / - Mechanistic-empirical design procedures.
