The Experts below are selected from a list of 29718 Experts worldwide ranked by ideXlab platform
Lev Khazanovich - One of the best experts on this subject based on the ideXlab platform.
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enhanced model for continuous dielectric based asphalt compaction evaluation
Transportation Research Record, 2018Co-Authors: Kyle Hoegh, Trevor Steiner, Lev KhazanovichAbstract:The compaction of asphalt concrete significantly affects long-term Pavement Performance. Although coring provides a relatively accurate way of assessing in-place density at specific locations, the ...
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comprehensive evaluation of effect of climate in mechanistic empirical Pavement design guide predictions
Transportation Research Record, 2010Co-Authors: Luke Johanneck, Lev KhazanovichAbstract:Climatic and environmental conditions have significant effects on Pavement Performance but have been inadequately considered in previous design methods. The Mechanistic-Empirical Pavement Design Guide (MEPDG) accounts for these effects through the use of the enhanced integrated climatic model. The present study examined the effects of climate on Pavement Performance predictions and the effects of climatic file generation by using MEPDG. The paper details the effort required to compare Performance predictions for composite Pavement consisting of asphalt cement over portland cement concrete (PCC) for 610 locations across the United States, with the use of MEPDG, Version 1.0. Analysis of the results was performed at the national, regional, and local levels. Although in general the results agree with the anticipated trends of environmental effects on Pavement Performance, the prediction of Performance according to the predicted transverse cracking in the PCC layer was found to contain inconsistencies. These i...
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Performance of concrete Pavements volume iii improving concrete Pavement Performance
1998Co-Authors: K D Smith, Michael I Darter, J Jiang, Lev KhazanovichAbstract:With the goal of improving future concrete Pavement design and construction practices, this project evaluated the Performance of 303 inservice concrete Pavement sections located throughout North America. An extensive field testing program, consisting of Pavement condition surveys, drainage surveys, falling weight deflectometer (FWD) testing, coring/boring operations, and roughness testing, was conducted in order to collect the information needed for analysis. Because many of these Pavement sections are part of State-level studies on concrete Pavements, a range of design variables (e.g., load transfer, slab thickness, joint spacing, drainage) thought to affect concrete Pavement Performance are present. Over one-third of the sections was evaluated under a preceding Federal Highway Administration study, meaning that 5-year Performance trends are available for some of the sections. Additional Pavement Performance data are also available for 96 European concrete Pavement sections and for 21 Chilean concrete Pavement sections. The average age and average cumulative equivalent single axle loads (ESALs) for the North American sections are 16 years and 7.1 million, respectively, compared to 21 years and 21.8 million for the European sections and 9 years and 5.9 million for the Chilean sections. This volume presents Pavement Performance prediction models that were developed from the data collected under this study. Prediction models are presented for transverse joint faulting (doweled and nondoweled), transverse cracking [jointed plain concrete Pavement (JPCP) and jointed reinforced concrete Pavement (JRCP)], transverse joint spalling (JPCP and JRCP), Pavement serviceability (JPCP and JRCP), and Pavement roughness (JPCP only). Based on the results of the models and on the results of the field evaluation findings, guidelines for the improved design of concrete Pavements are presented.
Dan G Zollinger - One of the best experts on this subject based on the ideXlab platform.
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Performance evaluation of jointed plain concrete Pavement made with portland cement concrete containing reclaimed asphalt Pavement
Road Materials and Pavement Design, 2019Co-Authors: Xijun Shi, Anol Mukhopadhyay, Dan G Zollinger, Kaijian HuangAbstract:A lack of good understanding of effect of reclaimed asphalt Pavement (RAP) on portland cement concrete (PCC)’s properties and its impact on Pavement Performance has hindered the implementation of p...
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mechanistic empirical models for better consideration of subgrade and unbound layers influence on Pavement Performance
Transportation geotechnics, 2017Co-Authors: Xue Luo, Yuqing Zhang, Robert L Lytton, Dan G ZollingerAbstract:It has been reported that the Pavement Performance predicted by the current mechanistic-empirical Pavement design shows low or no sensitivity to subgrade and unbound layers. This issue has raised wide attention. Targeting this problem, this paper summarizes the process used by the authors to find better models of the influence of subgrade and unbound base course layers on the Performance of flexible and rigid Pavements. A comprehensive literature review is first conducted and the findings are categorized. It is found that the resilient modulus, permanent deformation, shear strength, and erosion are key factors. In particular, the properties that provide greater sensitivity are 1) the moisture-dependency of the modulus, shear strength, and permanent deformation; 2) stress-dependency of the modulus and permanent deformation; and 3) cross-anisotropy of the modulus. A number of unbound layer/subgrade models have been located and categorized. Three criteria are developed to identify the candidate models in terms of the degree of susceptibility, degree of accuracy, and ease of development. The first two criteria are used to evaluate the collected unbound layer/subgrade models, while associated development and implementation issues are planned as subsequent work. Two models that the authors previously developed are selected as examples to illustrate the improvement of the Performance prediction, including the moisture-sensitive, stress-dependent, and cross-anisotropic modulus model for unbound layers and stress-dependent mechanistic-empirical permanent deformation model for unbound base layers. These two models are verified through laboratory tests and numerical simulations. Moreover, they are compared to their counterparts in the AASHTOWare Pavement ME Design. The advantages of accuracy and sensitivity to the operational conditions (e.g. moisture, traffic stress, and load-induced/particle-induced anisotropy) are obvious. In addition to these two models, the development of the shear strength model and erosion model are sketched. The candidate models need further development and implementation, which address issues such as hierarchical inputs, calibration/validation, and implementation. These are the on-going and planned work on this topic to better incorporate the influence of subgrade and unbound layers so as to contribute to the improvement of Pavement designs.
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characterization of transverse cracking spatial variability use of long term Pavement Performance data for continuously reinforced concrete Pavement design
Transportation Research Record, 2003Co-Authors: Olga Selezneva, Michael I Darter, Dan G Zollinger, Sarmir ShoukryAbstract:Mechanistic-empirical design procedures for continuously reinforced concrete Pavement (CRCP) require characterization of variations in major design parameters so that a new or rehabilitated Pavement can be designed for a desired level of reliability. Transverse cracking is an important CRCP design parameter affecting the prediction of crack width, crack load transfer efficiency, and critical stresses leading to longitudinal cracking and punchout development. The primary focus of this study was to investigate spatial characteristics of transverse cracking occurring in CRCP and to develop a theoretical model that would provide a means for systematic characterization of transverse crack spacing variability along the Pavement length. Long-term Pavement Performance distress data were utilized to analyze transverse crack spacing characteristics for CRCP sections. From the results of the field data analysis, a theoretical model utilizing a Weibull distribution was developed to characterize the along-the-section transverse crack spacing frequency distribution. This theoretical model could be incorporated into the mechanistic-empirical procedures for CRCP structural design. The relationship between transverse crack spacing characteristics and punchout development and the location of the longitudinal cracks, which are a punchout precursor, were also analyzed using field survey data. Conclusions derived from field data analysis and the theoretical model presented here will be of interest to practicing engineers and researchers involved in CRCP design and Performance modeling.
Mark B Snyder - One of the best experts on this subject based on the ideXlab platform.
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calibration of national rigid Pavement Performance models for the Pavement mechanistic empirical design guide
Transportation Research Record, 2015Co-Authors: Steven G Sachs, Julie M Vandenbossche, Mark B SnyderAbstract:AASHTOWare Pavement ME Design, software developed from the AASHTO Mechanistic–Empirical Pavement Design Guide (MEPDG), uses Performance data extracted primarily from the long-term Pavement Performance database to calibrate the Performance prediction models for rigid Pavements. In this study, factorial designs were generated as a subset of the national rigid Pavement database for calibration of the MEPDG rigid Pavement Performance models. Three separate factorial designs were included for each rigid Pavement Performance model for (a) jointed plain concrete Pavement (JPCP) transverse cracking, (b) JPCP faulting (doweled and undoweled), and (c) continuously reinforced concrete Pavement punchouts. Experimental design variables for each model were selected to provide the broadest possible representation of key design, construction, and environmental features. The three Performance models were then calibrated with the developed factorial matrices. The results were presented along with the calibration procedure....
Richard C Meininger - One of the best experts on this subject based on the ideXlab platform.
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effect of coefficient of thermal expansion test variability on concrete Pavement Performance as predicted by mechanistic empirical Pavement design guide
Transportation Research Record, 2007Co-Authors: Jussara Tanesi, Emin M Kutay, Ala R Abbas, Richard C MeiningerAbstract:The coefficient of thermal expansion (CTE) of concrete is a property that can affect the Performance of the Pavement and its service life and is one of the most important inputs in the Mechanistic—Empirical Pavement Design Guide (MEPDG). The CTE can be either estimated or measured in the laboratory. The test method used to determine this property is AASHTO TP 60, still a provisional test method and not yet evaluated for its precision. CTEs of more than 1,800 concrete specimens were measured at the Turner-Fairbank Highway Research Center. The specimens included cylinders that were cast in the laboratory as well as field cores obtained from the Long-Term Pavement Performance Pavement sections. Approximately 150 of the specimens were tested individually several times for assessment of repeatability of the test method. An analysis is presented of test differences observed, as is a sensitivity analysis of the CTE test variability on predicted Performance based on the MEPDG. The differences in predicted interna...
Steven G Sachs - One of the best experts on this subject based on the ideXlab platform.
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calibration of national rigid Pavement Performance models for the Pavement mechanistic empirical design guide
Transportation Research Record, 2015Co-Authors: Steven G Sachs, Julie M Vandenbossche, Mark B SnyderAbstract:AASHTOWare Pavement ME Design, software developed from the AASHTO Mechanistic–Empirical Pavement Design Guide (MEPDG), uses Performance data extracted primarily from the long-term Pavement Performance database to calibrate the Performance prediction models for rigid Pavements. In this study, factorial designs were generated as a subset of the national rigid Pavement database for calibration of the MEPDG rigid Pavement Performance models. Three separate factorial designs were included for each rigid Pavement Performance model for (a) jointed plain concrete Pavement (JPCP) transverse cracking, (b) JPCP faulting (doweled and undoweled), and (c) continuously reinforced concrete Pavement punchouts. Experimental design variables for each model were selected to provide the broadest possible representation of key design, construction, and environmental features. The three Performance models were then calibrated with the developed factorial matrices. The results were presented along with the calibration procedure....