Validation Of Asphalt Mixture Pavement Skid Prediction Model And Development Of Skid Prediction Model For Surface Treatments
DOWNLOAD
Download Validation Of Asphalt Mixture Pavement Skid Prediction Model And Development Of Skid Prediction Model For Surface Treatments PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Validation Of Asphalt Mixture Pavement Skid Prediction Model And Development Of Skid Prediction Model For Surface Treatments book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Validation Of Asphalt Mixture Pavement Skid Prediction Model And Development Of Skid Prediction Model For Surface Treatments
DOWNLOAD
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.
Development Of Prediction Models For Skid Resistance Of Asphalt Pavements
DOWNLOAD
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.
Advances In Materials And Pavement Prediction
DOWNLOAD
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 A Prediction Model For Skid Resistance Of Asphalt Pavements
DOWNLOAD
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 And Validation Of Performance Prediction Models And Specifications For Asphalt Binders And Paving Mixes
DOWNLOAD
Author : Robert L. Lytton
language : en
Publisher: Strategic Highway Research Program (Shrp)
Release Date : 1993
Development And Validation Of Performance Prediction Models And Specifications For Asphalt Binders And Paving Mixes written by Robert L. Lytton and has been published by Strategic Highway Research Program (Shrp) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Asphalt concrete categories.
A result of the Strategic Highway Research Program's asphalt research is the development of performance-based specifications for asphalt binders and mixtures to control 3 distress modes: rutting; fatigue cracking; and thermal cracking. The SHRP A-005 project developed detailed pavement performance models to support these binder and mixture specifications and performance-based mixture designs. This report documents the findings of this extensive research effort and provides supporting data for the performance-based specifications and mixture design procedure called SUPERPAVE. The A-005 contract developed and used a sophisticated, mechanistic-based pavement performance model to define the relationships between asphalt binder and mixture properties and pavement distress. A comprehensive pavement performance model was developed that predicts the amount of fatigue cracking, thermal cracking and rutting in asphalt concrete pavements with time, using results from the accelerated laboratory tests. The pavement performance models for each distress were also used to confirm the relevant binder and mixture properties established by other SHRP contractors. The model has 3 parts: a mixture evaluation model; a pavement response model; and a pavement distress model.
Validation Of Txdot Flexible Pavement Skid Prediction Model
DOWNLOAD
Author : Arif Chowdhury
language : en
Publisher:
Release Date : 2017
Validation Of Txdot Flexible Pavement Skid Prediction Model 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.
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.
Verification Of Mechanistic Prediction Models For Permanent Deformation In Asphalt Mixes Using Accelerated Pavement Testing
DOWNLOAD
Author : Mbakisya A. Onyango
language : en
Publisher:
Release Date : 2009
Verification Of Mechanistic Prediction Models For Permanent Deformation In Asphalt Mixes Using Accelerated Pavement Testing written by Mbakisya A. Onyango and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Permanent deformation (rutting) is the most critical load-associated distress that develops on asphalt pavements significantly affecting their performance. Past research work focused on estimating permanent deformation of asphalt mixes using empirical prediction models or prediction models based on linear elastic material models. In recent years, mechanistic and mechanistic-empirical prediction models have been developed to take into account the behavior of asphalt material (viscoelastic, viscoplastic or elasto-visco-plastic). This research project aims to evaluate existing mechanistic models that predict permanent deformation (rutting) in asphalt mixes by comparing computed permanent deformation to that measured in a full-scale accelerated pavement test. Six pavement sections were constructed in the Civil Infrastructure Systems Laboratory (CISL) of Kansas State University with six different asphalt mixes. The sections were loaded with up to 700,000 load repetitions of a 22,000lb single axle. The transverse profiles at the pavement surface were measured periodically. For material characterization, asphalt mix samples fabricated in the laboratory, were subjected to dynamic modulus (E*), static creep - flow time (Ft), dynamic creep - flow number (Fn), triaxial and uniaxial strength tests, repetitive shear at constant height (RSCH) and frequency sweep at constant height (FSCH). The finite element software, Abaqus, was used to simulate and evaluate four permanent deformation prediction models, which are: creep model, elasto-visco-plastic model, viscoelastic model and Drucker-Prager model. The predicted permanent deformation was then compared to permanent deformation measured in CISL for the six of asphalt pavement sections. It was found that, with some improvements, creep and elasto-visco-plastic models could be used to predict permanent deformation in asphalt mixes. The viscoelastic model greatly under-predict permanent deformation, and the Drucker-Prager model with hardening criteria over predicts permanent deformation as compared to values measured in CISL.
Design Prediction Of Pavement Skid Resistance From Laboratory Tests
DOWNLOAD
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.
Laboratory Evaluation Of Friction Loss And Compactability Of Asphalt Mixtures
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2012
Laboratory Evaluation Of Friction Loss And Compactability Of Asphalt Mixtures written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Aggregates (Building materials) categories.
This study aimed to develop prediction models for friction loss and laboratory compaction of asphalt mixtures. In addition, the study evaluated the effect of compaction level and compaction method on skid resistance and the internal structure of asphalt mixtures. The predictive model for friction loss was developed based on parameters that describe aggregate texture and angularity before and after polishing, aggregate gradation, and polishing cycles in the laboratory. Squared-shape slabs of asphalt mixtures were prepared in the laboratory using a linear kneading compactor and polished using a wheel-polishing device. The frictional characteristics were measured after different intervals of polishing cycles. Mixtures with coarser aggregate gradation were found to have better skid resistance than those with fine aggregate gradation. The friction loss model was found to correlate very well with the experimental measurements. The predictive model for laboratory compaction of asphalt mixtures was developed based on parameters that describe aggregate shape characteristics, aggregate gradation, binder content, and binder properties at compaction temperatures. The researchers executed intensive laboratory experiments to quantify the effect of these parameters on the compaction of asphalt mixture in the laboratory. Two models that describe slope and intercept of the laboratory compaction curves of asphalt mixtures were developed. These models showed strong correlations between the predicted values and the measured ones. These models provide essential inputs to quantify the compaction effort needed to compact asphalt mixtures. In the last phase of this study, the researchers evaluated the effect of compaction level and compaction method on skid resistance and internal structure of asphalt pavements. The vibratory roller was found to yield a smoother surface than the static roller. In addition, the results confirmed that the vibratory roller was more effective in reducing the air voids than the static roller. Moreover, the test sections compacted using the vibratory roller had more uniform air void distribution compared to the test sections compacted using the static roller.
Skid Resistance Predictive Models For Asphaltic Concrete Surface Courses
DOWNLOAD
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.