Development Of Empirical Mechanistic Pavement Performance Models Using Data From The Washington State Pms Database
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Development Of Empirical Mechanistic Pavement Performance Models Using Data From The Washington State Pms Database
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Author : Ziad Nakat
language : en
Publisher:
Release Date : 2008
Development Of Empirical Mechanistic Pavement Performance Models Using Data From The Washington State Pms Database written by Ziad Nakat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Pavements categories.
Development Of Empirical Mechanistic Pavement Performance Models Using Data From The Washington State Pms Database
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Author :
language : en
Publisher:
Release Date : 2005
Development Of Empirical Mechanistic Pavement Performance Models Using Data From The Washington State Pms Database written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Pavements categories.
Development Of Empirical And Mechanistic Empirical Performance Models At Project And Network Levels
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Author : Amr Ayed
language : en
Publisher:
Release Date : 2016
Development Of Empirical And Mechanistic Empirical Performance Models At Project And Network Levels written by Amr Ayed and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Performance prediction models are a vital component in pavement management systems (PMS). Along with decision trees, prediction models are used to set priorities for maintenance and rehabilitation planning, and ultimately for budget allocations at the network level. Reliable and accurate prediction of pavement deterioration over time helps transportation agencies accurately predict future spending and save significant amounts of money. Within a PMS, raw performance data is often converted into aggregated performance indices, such as the Riding Comfort Index (RCI), to quantify the road's roughness, or the Distress Surface Index (SDI), to quantify accumulated pavement distress. Technology has evolved rapidly in the last two decades, making data collection for pavement conditions (i.e. roughness and distress data) more feasible for transportation agencies. However, transportation agencies, especially at the municipal level, only maintain condition data to evaluate the present pavement status. Only limited attempts have so far been made to develop or enhance existing deterioration models in pavement management systems, using periodically collected condition data over time. A well-maintained historical database of pavement condition measurements and performance indices can be a useful source for the development of performance prediction models. In some cases, however, the database may contain incomplete data and insufficient information to develop reliable performance models. In addition to inconsistency in the historical performance data, the age of the pavement or the date of the last maintenance/ rehabilitation treatment may not be available to develop the pavement performance over time. The goal of this research is to develop enhanced empirical performance models capable of capturing the unpredictable and indeterminate nature of pavement deterioration behavior. This research provides a methodology to develop empirical models in the absence of the construction and/or rehabilitation dates. The models developed in this research use limited available historical data, and examine different parameters, such as pavement thickness, traffic pattern, and subgrade condition. Parameters such as the date of pavement construction and the age of the pavement are also incorporated into the proposed models, and are constrained by local experience and engineering judgment. A linear programming optimization technique is employed to develop the empirical models presented in this research. The approach demonstrated in this research can also be expanded to account for additional parameters, and can easily be adapted to match the needs of different agencies based on their local experience. In addition, the current research develops a second set of deterioration models based on mechanistic-empirical principles. Models incorporated into the mechanistic-empirical design guide are locally calibrated. A genetic algorithm optimization technique is employed to guide the calibration process, in order to determine the coefficients that best represent pavement performance over time. The two sets of performance models developed in this research are compared at both the project and network level of analysis. A decision-making framework is implemented to incorporate the two sets of models, and a comprehensive life cycle cost analysis is carried out to compare design alternatives in the project level analysis. The two model sets are also evaluated at the network level analysis using a municipal pavement management system. Two budget scenarios are executed, based on the developed performance models, and a comparison between network performance and budget spending is presented. Finally, a summary and current research contribution to the pavement industry will be presented, along with recommendations for future research.
The Roles Of Accelerated Pavement Testing In Pavement Sustainability
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Author : José P. Aguiar-Moya
language : en
Publisher: Springer
Release Date : 2016-09-15
The Roles Of Accelerated Pavement Testing In Pavement Sustainability written by José P. Aguiar-Moya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-15 with Technology & Engineering categories.
This compendium gathers the latest advances in the area of Accelerated Pavement Testing (APT), a means of testing full-scale pavement construction in an accelerated manner for structural deterioration in a very short term. Compiling novel research results presented at the 5th International Conference on Accelerated Pavement Testing, San Jose, Costa Rica, the volume serves as a timely and highly relevant resource for materials scientists and engineers interested in determining the performance of a pavement structure during its service life (10+ years) in a few weeks or months.
Stochastic Empirical Mechanistic Models For Infrastructure S Crack Initiation And Progression
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Author : Ziad Salim Nakat
language : en
Publisher:
Release Date : 2006
Stochastic Empirical Mechanistic Models For Infrastructure S Crack Initiation And Progression written by Ziad Salim Nakat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Evaluation Of Current Louisiana Flexible Pavement Structures Using Pms Data And New Mechanistic Empirical Pavement Design Guide
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Author : Zhong Wu
language : en
Publisher:
Release Date : 2012
Evaluation Of Current Louisiana Flexible Pavement Structures Using Pms Data And New Mechanistic Empirical Pavement Design Guide written by Zhong Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Pavements categories.
Revisiting The Estimation Of Highway Maintenance Marginal Cost
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Author : Shadi Bassam Anani
language : en
Publisher:
Release Date : 2008
Revisiting The Estimation Of Highway Maintenance Marginal Cost written by Shadi Bassam Anani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Direct costing categories.
Mechanistic Empirical Pavement Design Guide
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Author : American Association of State Highway and Transportation Officials
language : en
Publisher: AASHTO
Release Date : 2008
Mechanistic Empirical Pavement Design Guide written by American Association of State Highway and Transportation Officials and has been published by AASHTO this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Pavements categories.
Local Calibration Of Mechanistic Empirical Pavement Design Guide For North Eastern United States
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Author : Shariq A. Momin
language : en
Publisher:
Release Date : 2011
Local Calibration Of Mechanistic Empirical Pavement Design Guide For North Eastern United States written by Shariq A. Momin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
The Mechanistic-Empirical Pavement Design Guide (MEPDG) developed under the National Cooperative Highway Research Program (NCHRP) 1-37A project is based on mechanistic-empirical analysis of the pavement structure to predict the performance of the pavement under different sets of conditions (traffic, structure and environment). MEPDG takes into account the advanced modeling concepts and pavement performance models in performing the analysis and design of pavement. The mechanistic part of the design concept relies on the application of engineering mechanics to calculate stresses, strains and deformations in the pavement structure induced by the vehicle loads. The empirical part of the concept is based on laboratory developed performance models that are calibrated with the observed distresses in the in-service pavements with known structural properties, traffic loadings, and performances. These models in the MEPDG were calibrated using a national database of pavement performance data (Long Term Pavement Performance, LTPP) and will provide design solution for pavements with a national average performance. In order to improve the performance prediction of the models and the efficiency of the design for a given state, it is necessary to calibrate it to local conditions by taking into consideration locally available materials, traffic information and the environmental conditions. The objective of this study was to calibrate the MEPDG flexible pavement performance models to local conditions of Northeastern region of United States. To achieve this, seventeen pavement sections were selected for the calibration process and the relevant data (structural, traffic, climatic and pavement performance) was obtained from the LTPP database. MEPDG software (Version 1.1) simulation runs were made using the nationally calibrated coefficients and the MEPDG predicted distresses were compared with the LTPP measured distresses (rutting, alligator and longitudinal cracking, thermal cracking and IRI). The predicted distresses showed fair agreement with the measured distresses but still significant differences were found. The difference between the measured and the predicted distresses were minimized through recalibration of the MEPDG distress models. For the permanent deformation models of each layer, a simple linear regression with no intercept was performed and a new set of model coefficients (ßr1, ßGB, and ßSG) for asphalt concrete, granular base and subgrade layer models were calculated. The calibration of alligator (bottom-up fatigue cracking) and longitudinal (topdown fatigue cracking) was done by deriving the appropriate model coefficients (C1, C2, and C4) since the fatigue damage is given in MEDPG software output. Thermal cracking model was not calibrated since the measured transverse cracking data in the LTPP database did not increase with time, as expected to increase with time. The calibration of IRI model was done by computing the model coefficients (C1, C2, C3, and C4) based on other distresses (rutting, total fatigue cracking, and transverse cracking) by performing a simple linear regression.
Development Of Local Calibration Factors And Design Criteria Values For Mechanistic Empirical Pavement Design
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Author : Bryan Smith
language : en
Publisher:
Release Date : 2015
Development Of Local Calibration Factors And Design Criteria Values For Mechanistic Empirical Pavement Design written by Bryan Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Pavements categories.
A mechanistic-empirical (ME) pavement design procedure allows for analyzing and selecting pavement structures based on predicted distress progression resulting from stresses and strains within the pavement over its design life. The Virginia Department of Transportation (VDOT) has been working toward implementing ME design by characterizing traffic and materials inputs, training with the models and design software, and analyzing current pavement designs in AASHTOware Pavement ME Design software. This study compared the measured performance of asphalt and continuously reinforced concrete pavements (CRCP) from VDOTs Pavement Management System (PMS) records to the predicted performance in AASHTOware Pavement ME Design. Model coefficients in the software were adjusted to match the predicted asphalt pavement permanent deformation, asphalt bottom-up fatigue cracking, and CRCP punchout outputs to the measured values from PMS records. Values for reliability, design life inputs, and distress limits were identified as a starting point for VDOT to consider when using AASHTOware Pavement ME Design through consideration of national guidelines, existing VDOT standards, PMS rating formulas, typical pavement performance at time of overlay, and the data used for local calibration. The model calibration coefficients and design requirement values recommended in this study can be used by VDOT with AASHTOware Pavement ME Design as a starting point to implement the software for design, which should allow for more optimized pavement structures and improve the long-term performance of pavements in Virginia.