Author: Rafiqul Tarefder
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages : 290

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Author: Rafiqul Alam Tarefder
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages : 412

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Author:
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages :

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Author: Zahid Hossain
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 524

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"The new mechanistic-empirical pavement design guide (MEPDG), based on the National Cooperative Highway Research Program (NCHRP) study 1-37A, replaces the widely used but more empirical 1993 AASHTO Guide for Design of Pavement Structures. The MEPDG adopted a mechanistic-empirical pavement analysis and design procedure by using material properties, traffic and climate data for local conditions as input. Among material properties, resilient modulus (Mr) of underlying soil and aggregate layers is one of the most important parameters for the analysis and design of flexible pavements. Also, dynamic modulus (E*) of the asphalt mixes and rheological properties of asphalt binders are needed to predict pavement distresses for its design life. To this end, Mr data of 712 samples from five unbound subgrade soils, 139 samples from four stabilized subgrade soils, and 105 samples from two aggregates in Oklahoma were evaluated to develop stress-based models. Among selected models for unbound subgrade soils, the universal model outperformed other stress-based models. For stabilized soils and aggregates, the octahedral model, recommended by the MEPDG, performed better than the other models. Also, reasonably good correlations were established to predict Mr values of these materials by using routine material properties (i.e., gradation, index properties). Furthermore, MEPDG input parameters of three performance grade (PG) binders, collected from three different refineries in Oklahoma, were determined as per Superpave(R) test methods. It was observed that the rheological properties (i.e., viscosity, dynamic shear modulus (G*)) of the same PG grade binders varied significantly based on their sources. The present study is expected to provide ODOT with useful data and correlations that can be used to calibrate the MEPDG for local materials and conditions."--Technical report documentation page

Author:
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages :

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Author:
Publisher: AASHTO
ISBN: 1560514493
Category : Technology & Engineering
Languages : en
Pages : 202

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This guide provides guidance to calibrate the Mechanistic-Empirical Pavement Design Guide (MEPDG) software to local conditions, policies, and materials. It provides the highway community with a state-of-the-practice tool for the design of new and rehabilitated pavement structures, based on mechanistic-empirical (M-E) principles. The design procedure calculates pavement responses (stresses, strains, and deflections) and uses those responses to compute incremental damage over time. The procedure empirically relates the cumulative damage to observed pavement distresses.

Author: Stephen Alan Cross
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages : 81

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There has been some reluctance on the part of some in Oklahoma to use SMA mixtures. There are several factors that could be involved in the slow acceptance of SMA mixtures in Oklahoma. These factors are 1) the extra expense associated with the higher binder contents and better quality aggregates required, 2) a lack of data indicating that SMA mixtures perform substantially better than conventional Superpave mixtures and 3) a lack guidance on thickness design benefits, including appropriate input parameters for the MEPDG. The objectives this study are to evaluate the performance of SMA mixes compared to S-4 mixes and to determine the performance benefits. Testing included Hamburg Rut Tests and dynamic modulus testing.

Author:
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 0

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In an effort to move toward pavement designs that employ mechanistic principles, the AASHTO Joint Task Force on Pavements initiated an effort in 1996 to develop an improved pavement design guide. The project called for the development of a design guide that employs existing state-of-the-practice mechanistic-based models and design procedures. The product of this initiative became available in 2004 in the form of software called the Mechanistic-Empirical Pavement Design Guide (MEPDG). The performance prediction models in the MEPDG were calibrated and validated using performance data measured from hundreds of pavement sections across the United States. However, these nationally calibrated performance models in the MEPDG do not necessarily reflect local materials, local construction practices, and local traffic characteristics. Therefore, in order to produce accurate pavement designs for the State of North Carolina, the MEPDG distress prediction models must be recalibrated using local materials, traffic, and environmental data. The North Carolina Department of Transportation (NCDOT) has decided to adopt the MEPDG for future pavement design work and has awarded a series of research projects to North Carolina State University. The primary objective of this study is to calibrate the MEPDG performance prediction models for local materials and conditions using the data and findings generated from this series of research projects. The work presented in this report focuses on four major topics: (1) the development of a GIS-based methodology to enable the extraction of local subgrade soils data from a national soils database; (2) the rutting and fatigue cracking performance characterization of twelve asphalt mixtures commonly used in North Carolina; (3) the characterization of local North Carolina traffic; and (4) calibration of the flexible pavement distress prediction models in the MEPDG to reflect local materials and conditions.

Author: Y. Richard Kim
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 234

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Book Description
In an effort to move toward pavement designs that employ mechanistic principles, the AASHTO Joint Task Force on Pavements initiated an effort in 1996 to develop an improved pavement design guide. The project called for the development of a design guide that employs existing state-of-the-practice mechanistic-based models and design procedures. The product of this initiative became available in 2004 in the form of software called the Mechanistic-Empirical Pavement Design Guide (MEPDG). The performance prediction models in the MEPDG were calibrated and validated using performance data measured from hundreds of pavement sections across the United States. However, these nationally calibrated performance models in the MEPDG do not necessarily reflect local materials, local construction practices, and local traffic characteristics. Therefore, in order to produce accurate pavement designs for the State of North Carolina, the MEPDG distress prediction models must be recalibrated using local materials, traffic, and environmental data. The North Carolina Department of Transportation (NCDOT) has decided to adopt the MEPDG for future pavement design work and has awarded a series of research projects to North Carolina State University. The primary objective of this study is to calibrate the MEPDG performance prediction models for local materials and conditions using the data and findings generated from this series of research projects. The work presented in this report focuses on four major topics: (1) the development of a GIS-based methodology to enable the extraction of local subgrade soils data from a national soils database; (2) the rutting and fatigue cracking performance characterization of twelve asphalt mixtures commonly used in North Carolina; (3) the characterization of local North Carolina traffic; and (4) calibration of the flexible pavement distress prediction models in the MEPDG to reflect local materials and conditions.

Author: Swetha Kesiraju
Publisher:
ISBN:
Category : AASHTO guide for design of pavement structures
Languages : en
Pages : 96

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