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Models For Pavement Deterioration Using Ltpp
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Book Synopsis Models for Pavement Deterioration Using LTPP by : Kaan Özbay
Download or read book Models for Pavement Deterioration Using LTPP written by Kaan Özbay and published by . This book was released on 2001 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significant contribution of the research presented in this report lies in the fact that it utilizes the most comprehensive database of pavement conditions that is readily available and promises to provide the sought data in future years. The first part of this report reviews the existing literature covering related topics including pavement roughness, the LLTP background, artificial neural networks, regression analysis and the existing pavement deterioration models. The second part discusses the work done in data analysis and data manipulation in addition to the development of the training of the neural network model. The third part deals with various aspects of the model development using neural networks and regression analysis. The next part concludes the research with summarizing the results of model development. The models developed in this research are then compared to some existing models by applying the models to similar data sets and performing statistical analysis of the results.
Book Synopsis Pavement Deterioration Modeling Using Historical Roghness Data by : Michelle Elizabeth Beckley
Download or read book Pavement Deterioration Modeling Using Historical Roghness Data written by Michelle Elizabeth Beckley and published by . This book was released on 2016 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pavement management systems and performance prediction modeling tools are essential for maintaining an efficient and cost effective roadway network. One indicator of pavement performance is the International Roughness Index (IRI), which is a measure of ride quality and also impacts road safety. Many transportation agencies use IRI to allocate annual maintenance and rehabilitation strategies to their road network. The objective of the work in this study was to develop a methodology to evaluate and predict pavement roughness over the pavement service life. Unlike previous studies, a unique aspect of this work was the use of non-linear mathematical function, sigmoidal growth function, to model the IRI data and provide agencies with the information needed for decision making in asset management and funding allocation. The analysis included data from two major databases (case studies): Long Term Pavement Performance (LTPP) and the Minnesota Department of Transportation MnROAD research program. Each case study analyzed periodic IRI measurements, which were used to develop the sigmoidal models.The analysis aimed to demonstrate several concepts; that the LTPP and MnROAD roughness data could be represented using the sigmoidal growth function, that periodic IRI measurements collected for road sections with similar characteristics could be processed to develop an IRI curve representing the pavement deterioration for this group, and that pavement deterioration using historical IRI data can provide insight on traffic loading, material, and climate effects. The results of the two case studies concluded that in general, pavement sections without drainage systems, narrower lanes, higher traffic, or measured in the outermost lane were observed to have more rapid deterioration trends than their counterparts. Overall, this study demonstrated that the sigmoidal growth function is a viable option for roughness deterioration modeling. This research not only to demonstrated how historical roughness can be modeled, but also how the same framework could be applied to other measures of pavement performance which deteriorate in a similar manner, including distress severity, present serviceability rating, and friction loss. These sigmoidal models are regarded to provide better understanding of particular pavement network deterioration, which in turn can provide value in asset management and resource allocation planning.
Book Synopsis The Development of Pavement Deterioration Models on the State Highway Network of New Zealand by : Theunis F. P. Henning
Download or read book The Development of Pavement Deterioration Models on the State Highway Network of New Zealand written by Theunis F. P. Henning and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pavement Deterioration Modeling by : Luis Esteban Amador Jimenez
Download or read book Pavement Deterioration Modeling written by Luis Esteban Amador Jimenez and published by LAP Lambert Academic Publishing. This book was released on 2012-06 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deterioration models are employed to forecast pavement performance and to support decisions of funds allocation for maintenance and rehabilitation. However, they traditionally lack a measure of reliability. This book uses multilevel Bayesian regression modeling for mixing prior knowledge with experimental observations in order to develop deterioration modeling with the ability to quantify uncertainty. It explicitly considers materials properties, structural capacity (or strength), external loading and environmental exposure by adapting classical mechanistic models. Two network level case studies illustrate the applicability of the method and deal with some of the practical limitations: (1) a novel method develops performance modeling from two time series data, using the concept of apparent age, (2) another model uses pavement roughness and strength to address practical limitations such as missing data, incorporating expert criteria and handling predictors from different data structures. The methods presented can help local, regional or national authorities to develop initial, practical or more advanced models for pavement deterioration, capable of capturing uncertainty.
Book Synopsis Development of Deterioration Models for Street Pavement in Dallas-Fort Worth Metroplex by : Mladjan John Grujicic
Download or read book Development of Deterioration Models for Street Pavement in Dallas-Fort Worth Metroplex written by Mladjan John Grujicic and published by . This book was released on 2021 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate prediction of pavement deterioration is vital for an efficient and cost-effective allocation of available budgets for keeping an agency's road networks operating at a desirable level. Currently, most cities in the Dallas-Fort Worth Metroplex area are using the software PAVERTM and the associated performance models to predict future conditions as they do not have available reliable prediction models. However, the problem with this type of modeling is that the models are not calibrated to local conditions.The Pavement Deterioration Prediction models that have been developed in this research will help any pavement management agencies within DFW Metroplex area to identify and predict the future pavement performance for any planning period. The models were developed based on the available data collected by the city's pavement management department for the DFW Metroplex area. In this research, a family modeling approach has been used as this method reduces the number of independent variables in performance modeling to a single variable (age in this research) by enabling the development of models in each pavement family. Separate models are also developed for areas with expansive and non-expansive subgrade soil. A total of eleven models are developed for the areas non-expansive subgrade soil area and nine models for the areas with expansive subgrade soil. Deterministic models that are developed are applicable to cities with available historical data on PCI or IRI. The developed probabilistic models are applicable to cities with a current pavement condition data, but no less than the last two consecutive years.
Book Synopsis Development of Pavement Deterioration Models by Combining Experimental and Field Data by : Da-Jie Lin
Download or read book Development of Pavement Deterioration Models by Combining Experimental and Field Data written by Da-Jie Lin and published by . This book was released on 2001 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Applicability of Published Pavement Deterioration Models for National Roads by : Louw Kannemeyer
Download or read book The Applicability of Published Pavement Deterioration Models for National Roads written by Louw Kannemeyer and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing interest in pavement management systems (PMSs), both in South Mrica and internationally, has been in response to a shift in importance from the construction of new roads to the maintenance of the existing paved network coupled with increasingly restrictive road funding. In order to develop a balanced expenditure programme for the national roads of South Africa there is a need to predict the rate of deterioration of a pavement and the nature of the changes in its condition so that the timing, type and cost of maintenance needs could be estimated. Internationally these expected changes in pavement condition are predicted by pavement deterioration models, which normally are algorithms developed mathematically or from a study of pavement deterioration. Since no usable pavement deterioration models existed locally, it was necessary to evaluate overseas literature on pavement deterioration prediction models with the aim of identifying models possibly applicable to the national roads of South Africa. Only deterioration models developed from the deterioration results of inservice pavements under a normal traffic spectrum were evaluated. Models developed from accelerated testing were avoided since these models virtually eliminated long?term effects (these are primarily environmental but also include effects of the rest periods between loads), and that the unrepresentative traffic loading regimes can distort the behaviour of the pavement materials, which is often stress dependent. Models developed from the following studies were evaluated: AASHO Road Test The Kenya study Brazil-UNDP study (HDM-ill models) Texas study Of all the above models studied that were developed from major studies it was concluded that the incremental models developed during the Brazil study, were the most appropriate for further evaluation under South African conditions. A sensitivity analysis was conducted on the HDM-III models to evaluate their sensitivity to changes in the different parameters comprising each model. The results obtained from the sensitivity analysis indicate that the incremental roughness prediction model incorporated into the HDM-III model tends to be insensitive to changes in most parameters. Accuracy ranges for input data were, however, also identified for parameters which indicated an increase in sensitivity in certain ranges. The local applicability of the HDM-III deterioration models were finally evaluated by comparing HDM-III model predictions with the actually observed deterioration values of a selected number of national road pavement sections. To enable the above comparison, a validation procedure had to be developed according to which the format of existing data could be transformed to that required by the HDM-ill model, as well as additional information be calculated. From the comparison it was concluded that the HDM-III models are capable of accurately predicting the observed deterioration on South African national roads, but that for most models calibration is needed for local conditions. Guidelines regarding recommended calibration factor ranges for the different HDM-ill models are given. Finally it is recommended that the HDM-III models should be considered for incorporation into a balanced expenditure programme for the national roads of South Africa.
Book Synopsis Early Analyses of LTPP General Pavement Studies Data by : J. Brent Rauhut
Download or read book Early Analyses of LTPP General Pavement Studies Data written by J. Brent Rauhut and published by Strategic Highway Research Program (Shrp). This book was released on 1994 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: This summary presents the results of the first data analyses of the Strategic Highway Research Program Long-Term Pavement Performance (LTPP) project. Data analyzed included information collected up to 1992. These analyses included: 1) developing a data analysis plan, 2) receipt and processing of data into suitable data bases for analysis and conducting statistical evaluations of the data bases, 3) using the LTPP data to evaluate the American Association of State Highway and Transportation Officials (AASHTO) design equations, 4) conducting sensitivity analyses to identify the independent variables that have significant impacts on pavement performance and to quantify the relative impact of each, and 5) using the experience gained from these early data analyses to recommend concepts for future data analyses.
Book Synopsis Pavement Performance Prediction by :
Download or read book Pavement Performance Prediction written by and published by . This book was released on 1987 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented at this session include: concepts of pavement performance prediction and modeling (lytton, rl); proposed development of pavement performance prediction models from shrp/ltpp data (rauhut, jb and gendell, ds); predictive pavement condition program in the washington state pavement management system (jackson, nc, kay, rk and peters, aj); a rating system for unsurfaced roads to be used in maintenance management (eaton, ra, gerard, s and dattilo, rs); pavement performance prediction and risk modelling in rehabilitation budget planning : a markovian approach (cook, wd and kazakov, a); development of pavement performance curves for the iowa department of transportation (cable, jk and suh, yc); a norwegian model for prediction of pavement deterioration (bertelsen, d); pavement performance prediction model (gschwendt, i, poliacek, i and lehovec, f); mn/dot's implementation of a pavement life prediction model (hill, ld); impacts of studded tyres and their role in pavement management (isotalo, j). for the covering abstract of the conference see irrd 807044.
Book Synopsis Road and Airfield Pavement Technology by : H. R. Pasindu
Download or read book Road and Airfield Pavement Technology written by H. R. Pasindu and published by Springer Nature. This book was released on 2022-03-03 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers the latest advances, innovations, and applications in the field of pavement technology, presented at the 12th International Conference in Road and Airfield Pavement Technology (ICPT), hosted by the University of Moratuwa, Sri Lanka, and held on July 14-16, 2021. It covers topics such as pavement design, evaluation and construction, pavement materials characterization, sustainability in pavement engineering, pavement maintenance and rehabilitation techniques, pavement management systems and financing, transportation safety, law and enforcement related to pavement engineering, pavement drainage and erosion control, GIS applications, quarry material assessment, pavement instrumentation, IT and AI applications in pavement. 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 pavement engineering.
Download or read book Asset Management Primer written by and published by DIANE Publishing Inc.. This book was released on 1999 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Prediction of Pavement Deterioration Based on FWD Results by : H. Yokota
Download or read book Prediction of Pavement Deterioration Based on FWD Results written by H. Yokota and published by . This book was released on 2000 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prediction models for pavement deterioration of major roads in Miyazaki Pre-fecture, Japan, using falling weight deflectometer (FWD) data are presented. The models would be incorporated in a pavement management system (PMS), for the prefecture, which is under development. At first, a relation between Japanese maintenance control index (MCI) and cumulative equivalent single axle loads (CESAL) was established. MCI was computed using variables that were automatically measured by a vehicle mounted with laser beam, cameras and profilometers. AASHO performance equation provided the basis for the development of these new models. Strength (deflection) factor was introduced into the coefficient that controls the slope of the performance curve through multiple regression analysis. Given FWD deflection and CESAL, these models could predict the trend of future pavement deterioration. This method increases the range of applicability of FWD data and may complement pavement condition rating systems that provide a measure of current pavement conditions only.
Download or read book הגן של עדן written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Models for Predicting Pavement Deterioration by : Lum Kong Lim
Download or read book Models for Predicting Pavement Deterioration written by Lum Kong Lim and published by . This book was released on 1990 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pavement Deterioration Modeling and Design of a Composite Pavement Distress Index for Kentucky Interstate Highways and Parkways by : Chenglong Luo
Download or read book Pavement Deterioration Modeling and Design of a Composite Pavement Distress Index for Kentucky Interstate Highways and Parkways written by Chenglong Luo and published by . This book was released on 2014 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pavement deterioration is one of the most important driver for prioritizing pavement management and preservation (PMP) projects. The primary goal of this thesis is to provide reasonable predictive functions from multiple linear regression (MLR) models and artificial neural networks (ANN) that can be adopted by Kentucky Transportation Cabinet (KYTC). Furthermore, we use analytic hierarchy process (AHP) to design a composite pavement distress index in order to help Kentucky Transportation Cabinet (KYTC) prioritizing PMP projects based on 11 different distress indices. Numerical results show that the MLR models provide relatively high R square values of approximately 0.8. Both MLR and ANN models have small average squared errors (ASE). Finally, for all nine distress indices studied in this thesis, MRL models are recommended to KYTC due to their simplicity, interpretability along with robust performance that is comparable to the ANN model. Finally, a priority rating method is developed using analytical hierarchy process and it integrates 11 pavement distress indices into one priority score. A case study shows that the propose AHP-based rating method overcomes the drawback of KYTC's current rating system for overemphasizing the international roughness index (IRI) among all distress indices.
Book Synopsis Pavement Management for Airports, Roads, and Parking Lots by : M.Y. Shahin
Download or read book Pavement Management for Airports, Roads, and Parking Lots written by M.Y. Shahin and published by Springer. This book was released on 1994-08-31 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing sound, cost-effective management rather than emergency repairs, this comprehensive volume offers practical guidelines on evaluating and managing pavements for airports, roads, and parking lots. The author focuses on the implementation and maintenance of successful management strategies for both network and project levels, with repair techniques also described . Detailed chapters: 1) outline step-by-step procedures for project and network level pavement management 2) illustrate effective cost analysis and budget planning for pavement maintenance 3) guide the reader in the selection and use of non-destructive deflection, roughness measurement, and friction measurement equipment 4) present state-of-the-art pavement rehabilitation and condition prediction techniques 5) demonstrates the Pavement Condition Index (PCI) procedure for airfields and surfaced and unsurfaced roads. Extensive appendices serve as a field manual for identifying all types of pavement distress and their causes, and hundred of photographs facilitate accurate pavement evaluation. Civil and pavement engineers will find complete information on pavement inspection, evaluation, and management in this indispensable reference.
Book Synopsis A Methodology for Developing Performance-Related Specifications for Pavement Preservation Treatments by : Litao Liu
Download or read book A Methodology for Developing Performance-Related Specifications for Pavement Preservation Treatments written by Litao Liu and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Current materials and construction specifications for pavement preservation treatments are predominantly prescriptive and they have little or no methodical linkage between initial treatment quality and future performance. There is an imperative need for performance-related specifications (PRS) that link the initial quality of pavement preservation treatments to their long-term performance and life-cycle costs so that rational pay adjustment and acceptance decisions can be made. However, the current literature lacks a methodology for developing PRS for pavement preservation treatments. The aim of this research is to fill this gap in the literature, with focus on thin HMA overlays. In this dissertation, a novel approach was devised for developing performance prediction models for pavements that received preservation treatments. In this approach, the model consists of two tightly-coupled components: the first component is responsible for predicting the performance (e.g., IRI) of the existing pavement if no treatment was applied. The second component is responsible for predicting the reduction in pavement deterioration due to the application of the treatment. Inputs to the first component include material and construction properties of the existing pavement layers, climatic conditions, and traffic factors. Inputs to the second component include the treatment's acceptance quality characteristics (AQCs), climatic conditions, and traffic factors. The artificial neural networks (ANNs) and the Bayesian regression methods were used for developing the two model components. Using this approach, a model was developed for predicting the International Roughness Index (IRI) of flexible pavement treated with thin HMA overlay. The data used for developing and testing this model was obtained from the Long-Term Pavement Performance (LTPP) database. Artificial neural networks (ANNs) and Bayesian regression techniques were employed for developing the first and second components of this model, respectively. A PRS methodology was developed for quantifying the difference between the initial quality levels of as-constructed and as-designed treatments. This methodology consists of a novel approach for determining the probability distributions of service life and present-worth value (PWV). This approach allows for transforming the probabilistic distribution of future IRI (predicted by the Bayesian model) into probability distributions for service life and PWV. Pay factors are then estimated based on the difference between the as-constructed and target PWVs. Finally, this dissertation provides insights into the relationships between initial quality (measured in terms of both mean and standard deviation of key acceptance quality characteristics) and expected pay factors through analysis of real world case studies of asphalt pavements treated with thin HMA overlays. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/151708
