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Development Of Pavement Life Prediction Models


Development Of Pavement Life Prediction Models
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Development Of Pavement Life Prediction Models


Development Of Pavement Life Prediction Models
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Author : Erland O. Lukanen
language : en
Publisher:
Release Date : 1986

Development Of Pavement Life Prediction Models written by Erland O. Lukanen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Pavements categories.


The objective of this study was to develop mathematical models to predict pavement conditions.



Development Of Pavement Prediction Models


Development Of Pavement Prediction Models
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Author : Ying-Haur Lee
language : en
Publisher:
Release Date : 1994

Development Of Pavement Prediction Models written by Ying-Haur Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Pavements categories.




Development Of Pos Prediction Models Using Project Historical And Project Generated Quality Assurance Data


Development Of Pos Prediction Models Using Project Historical And Project Generated Quality Assurance Data
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Author : Raymond K. Moore
language : en
Publisher:
Release Date : 1996

Development Of Pos Prediction Models Using Project Historical And Project Generated Quality Assurance Data written by Raymond K. Moore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Pavements categories.


The KDOT Pavement Management System includes a Project Optimization System (POS). For each pavement distress, the POS requires models which predict the probability that a given distress level occurs at some time in the future. This K-TRAN project investigated the mechanistic and empirical-mechanistic models and techniques advanced in research conducted by the National Cooperative Highway Research Program (NCHRP) and the Strategic Highway Research Program (SHRP). In addition, the project specific data developed for the models were reanalyzed using SHRP sensitivity analysis and regression procedures to determine if improved models could be developed.



Development Of Pavement Performance Prediction Models For Georgia Pavements


Development Of Pavement Performance Prediction Models For Georgia Pavements
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Author : Lanka Santha
language : en
Publisher:
Release Date : 1993

Development Of Pavement Performance Prediction Models For Georgia Pavements written by Lanka Santha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Pavements categories.




Advances In Materials And Pavement Performance Prediction Ii


Advances In Materials And Pavement Performance Prediction Ii
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Author : K. Anupam
language : en
Publisher: CRC Press
Release Date : 2020-12-08

Advances In Materials And Pavement Performance Prediction Ii written by K. Anupam and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Juvenile Nonfiction categories.


Inspired from the legacy of the previous four 3DFEM conferences held in Delft and Athens as well as the successful 2018 AM3P conference held in Doha, the 2020 AM3P conference continues the pavement mechanics theme including pavement models, experimental methods to estimate model parameters, and their implementation in predicting pavement performance. The AM3P conference is organized by the Standing International Advisory Committee (SIAC), at the time of this publication chaired by Professors Tom Scarpas, Eyad Masad, and Amit Bhasin. Advances in Materials and Pavement Performance Prediction II includes over 111 papers presented at the 2020 AM3P Conference. The technical topics covered include: - rigid pavements - pavement geotechnics - statistical and data tools in pavement engineering - pavement structures - asphalt mixtures - asphalt binders The book will be invaluable to academics and engineers involved or interested in pavement engineering, pavement models, experimental methods to estimate model parameters, and their implementation in predicting pavement performance.



Pavement Forecasting Models


Pavement Forecasting Models
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Author : Eddie Chou
language : en
Publisher:
Release Date : 2008

Pavement Forecasting Models written by Eddie Chou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Markov processes categories.


The primary objectives of this study were to develop models to forecast future pavement conditions and to determine remaining service life of pavements based on the forecasted conditions. Based on available data in the ODOT pavement database, which contains the condition history of each pavement section, along with its location, year of construction, thickness, materials used, climate, and rehabilitation records, individual regression, family regression, and Markov probabilistic models were developed . For the latter two models, pavements were first grouped into "families" with similar characteristics, based on pavement type, priority, District location, and past performance. Forecasting models were then developed for each such "family." The developed models were evaluated by comparing the predicted conditions with the actual observed conditions for the five year period between 2001 and 2005. The Markov model was found to have the highest overall prediction accuracy among all the models evaluated, and it can also predict future distresses in addition to the PCR values. As a result of this study, ODOT can forecast future pavement conditions and estimate the remaining service life of pavements. Future rehabilitation needs can also be determined. Such capabilities will significantly benefit planning and management decision-makings at both project and network levels



Data Driven Modeling Of In Service Performance Of Flexible Pavements Using Life Cycle Information


Data Driven Modeling Of In Service Performance Of Flexible Pavements Using Life Cycle Information
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Author : Arash Mohammad Hosseini
language : en
Publisher:
Release Date : 2019

Data Driven Modeling Of In Service Performance Of Flexible Pavements Using Life Cycle Information written by Arash Mohammad Hosseini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


Current pavement performance prediction models are based on the parameters such as climate, traffic, environment, material properties, etc. while all these factors are playing important roles in the performance of pavements, the quality of construction and production are also as important as the other factors. The designed properties of Hot Mix Asphalt (HMA) pavements, known as flexible pavements, are subjected to change during production and construction stages. Therefore, most of the times the final product is not the exact reflection of the design. In almost any highway project, these changes are common and likely to occur from different sources, by various causes, and at any stage. These changes often have considerable impacts on the long-term performance of a project. The uncertainty of the traffic and environmental factors, as well as the variability of material properties and pavement structural systems, are obstacles for precise prediction of pavement performance. Therefore, it is essential to adopt a hybrid approach in pavement performance prediction and design; in which deterministic values work along with stochastic ones. Despite the advancement of technology, it is natural to observe variability during the production and construction stages of flexible pavements. Quality control programs are trying to minimize and control these variations and keep them at the desired levels. Utilizing the information gathered at the production and construction stages is beneficial for managers and researchers. This information enables performing analysis and investigations of pavements based on the as-produced and as-constructed values, rather than focusing on design values. This study describes a geo-relational framework to connect the pavement life-cycle information. This framework allows more intelligent and data-driven decisions for the pavements. The constructed geo-relational database can pave the way for artificial intelligence tools to help both researchers and practitioners having more accurate pavement design, quality control programs, and maintenance activities. This study utilizes data collected as part of quality control programs to develop more accurate deterioration and performance models. This data is not only providing the true perspective of actual measurements from different pavement properties but also answers how they are distributed over the length of the pavement. This study develops and utilizes different distribution functions of pavement properties and incorporate them into the general performance prediction models. These prediction models consist of different elements that are working together to produce an accurate and detailed prediction of performance. The model predicts occurrence and intensity of four common flexible pavement distresses; such as rutting, alligator, longitudinal and transverse cracking along with the total deterioration rate at different ages and locations of pavement based on material properties, traffic, and climate of a given highway. The uniqueness of the suggested models compared to the conventional pavement models in the literature is that; it carries out a multiscale and multiphysics approach which is believed to be essential for analyzing a complex system such as flexible pavements. This approach encompasses the discretization of the system into subsystems to employ the proper computational tools required to treat them. This approach is suitable for problems with a wide range of spatial and temporal scales as well as a wide variety of different coupled physical phenomena such as pavements. Moreover, the suggested framework in this study relies on using stochastic and machine learning techniques in the analysis along with the conventional deterministic methods. In addition, this study utilizes mechanical testing to provide better insights into the behavior of the pavement. A series of performance tests are conducted on field core samples with a variety of different material properties at different ages. These tests allow connecting the lab test results with the field performance survey and the material, environmental and loading properties. Moreover, the mix volumetrics extracted from the cores assisted verifying the distribution function models. Finally, the deterioration of flexible pavements as a result of four different distresses is individually investigated and based on the findings; different models are suggested. Dividing the roadway into small sections allowed predicting finer resolution of performance. These models are proposed to assist the highway agencies s in their pavement management process and quality control programs. The resulting models showed a strong ability to predict field performance at any age during the pavements service life. The results of this study highlighted the benefits of highway agencies in adopting a geo-relational framework for their pavement network. This study provides information and guidance to evolve towards data-driven pavement life cycle management consisted of quality pre-construction, quality during construction, and deterioration post-construction.



Accelerated Pavement Testing To Transport Infrastructure Innovation


Accelerated Pavement Testing To Transport Infrastructure Innovation
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Author : Armelle Chabot
language : en
Publisher: Springer Nature
Release Date : 2020-08-25

Accelerated Pavement Testing To Transport Infrastructure Innovation written by Armelle Chabot and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-25 with Technology & Engineering categories.


This volume gathers the latest advances, innovations, and applications in the field of accelerated pavement testing (APT), presented at the 6th International Conference on Accelerated Pavement Testing, in Nantes, France, in April 2022. Discussing APT, which involves rapid testing of full-scale pavement constructions for structural deterioration, the book covers topics such as APT facilities, APT of asphalt concrete and sustainable/innovative materials, APT for airfield pavements, testing of maintenance and rehabilitation solutions, testing of smart and multi-functional pavements, data analysis and modeling, monitoring and non-destructive testing, and efficient means of calibrating/developing pavement design methods. Featuring peer-reviewed contributions by leading international researchers and engineers, the book is a timely and highly relevant resource for materials scientists and engineers interested in determining the performance of pavement structures during their service life (10+ years) in a few weeks or months.



Advances In Materials And Pavement Prediction


Advances In Materials And Pavement Prediction
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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.



Flexible Pavement Condition Prediction Models For Local Governments


Flexible Pavement Condition Prediction Models For Local Governments
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Author : Adrain Reed Gibby
language : en
Publisher:
Release Date : 1990

Flexible Pavement Condition Prediction Models For Local Governments written by Adrain Reed Gibby and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.