Download or read book Current Practices in Pavement Performance Modeling written by Applied Pavement Technology, Inc and published by . This book was released on 2010 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Current Practices in Pavement Performance Modeling written by and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Pavement Performance Modeling for Pavement Management written by R. Daryl Pedigo and published by . This book was released on 1981 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modern Pavement Management written by Ralph Haas and published by . This book was released on 1994 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the process of pavement management, this text covers topics such as data acquisition and evaluation, network level priority programming and project level design. Examples of working systems are provided, as well as guidance for implementation.

Download or read book Structural Behavior of Asphalt Pavements written by Lijun Sun and published by Butterworth-Heinemann. This book was released on 2016-08-09 with total page 1072 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Behavior of Asphalt Pavements provides engineers and researchers with a detailed guide to the structural behavioral dynamics of asphalt pavement including: pavement temperature distribution, mechanistic response of pavement structure under the application of heavy vehicles, distress mechanism of pavement, and pavement deterioration performance and dynamic equations. An authoritative guide for understanding the key mechanisms for creating longer lasting pavements, Structural Behavior of Asphalt Pavements describes the intrinsic consistency between macroscopic performance and microscopic response, structure and material, as well as global and local performances, and demonstrates the process of pavement analyses and designs, approaching science from empirical analyses. - Analyzes the external and internal factors influencing pavement temperature field, and provide a review of existing pavement temperature prediction models - Introduces a "Bridge Principle through which pavement performance and fatigue properties are consolidated - Defines the intrinsic consistency between macroscopic performance and microscopic response, structure and material, as well as global and local performance - Summaries the mechanistic response of pavement structure under the application of heavy vehicle, distress mechanism of pavement, pavement deterioration performance and dynamic equations, and life cycle analysis of pavement

Download or read book Pavement Management Performance Modeling written by Faith Bektas and published by . This book was released on 2014 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work described in this report documents the activities performed for the evaluation, development, and enhancement of the Iowa Department of Transportation (DOT) pavement condition information as part of their pavement management system operation. The study covers all of the Iowa DOT's interstate and primary National Highway System (NHS) and non-NHS system. A new pavement condition rating system that provides a consistent, unified approach in rating pavements in Iowa is being proposed. The proposed 100-scale system is based on five individual indices derived from specific distress data and pavement properties, and an overall pavement condition index, PCI-2, that combines individual indices using weighting factors. The different indices cover cracking, ride, rutting, faulting, and friction. The Cracking Index is formed by combining cracking data (transverse, longitudinal, wheel-path, and alligator cracking indices). Ride, rutting, and faulting indices utilize the International Roughness Index (IRI), rut depth, and fault height, respectively.

Download or read book Pavement Performance Model Development Volume II Final Model Development Final Report written by John P. Zaniewski and published by . This book was released on 1985 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Recent Developments in Pavement Design Modeling and Performance written by Sherif El-Badawy and published by Springer. This book was released on 2018-10-30 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes a collection of research and practical papers from an international research and technology activities on recent developments in pavement design, modeling and performance, and effects on infrastructure, green energy, technology and integration. Sustainability is increasingly a key priority in engineering practices. With the aging transportation infrastructure and renewed emphasis on infrastructure renovation by transportation agencies, innovations are urgently needed to develop materials, designs, and practices to ensure the sustainability of transportation infrastructure. The volume is based on the best contributions to the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 – The official international congress of the Soil-Structure Interaction Group in Egypt (SSIGE).

Download or read book Pavement Management Methodologies to Select Projects and Recommend Preservation Treatments written by Kathryn A. Zimmerman and published by Transportation Research Board. This book was released on 1995 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This synthesis will be of interest to highway administrators; pavement management system (PMS), maintenance, and computer engineers; and technologists involved with data collection and computer programming for the purposes of a PMS. This synthesis describes the state of the practice with respect to pavement management methodologies to select projects and recommend preservation treatments. This report of the Transportation Research Board also describes the predominant pavement management methodologies being used by U.S. state and Canadian provincial transportation agencies; provides a general description of each methodology; and summarizes the requirements, benefits, hindrances, and constraints associated with each. It includes a review of domestic literature and a survey of current practices in North America. In addition, case studies are included to illustrate the use of these methodologies within transportation agencies. Operational and soon-to-be implemented technologies are also discussed, and an extensive bibliography is provided for further reference.

Download or read book Flexible Pavement Condition rating Model for Maintenance and Rehabilitation Selection written by Wael Elias Tabara and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Pavement Performance Model Development Volume I Executive Summary Final Report written by W. Ronald Hudson and published by . This book was released on 1985 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book DATA DRIVEN MODELING OF IN SERVICE PERFORMANCE OF FLEXIBLE PAVEMENTS USING LIFE CYCLE INFORMATION written by Arash Mohammad Hosseini and published by . This book was released on 2019 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Development of Performance Models and Maintenance Standards of Urban Pavements for Network Management written by Aleli Osorio and published by . This book was released on 2015 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban pavements in developing countries often provide users with low level of services and result in negative impacts on the population and economy. Two main causes of deferring maintenance actions for urban pavements in developing countries were identified: an institutional organization that limits the optimization of resources assigned to urban pavements because current regulations may not be clear on the responsibilities and faculties of agencies in charge of urban pavement management, and; the lack of effective technical-economic tools that may help agencies in the decision-making process as an updated management system adapted to prevailing urban pavements maintenance requirements. Although the current state-of-the-art and the-practice of PMSs presents great developments in the last decade for interurban pavements, effective tools developed for urban pavement management are still a missing part of current practices. Compared with the management of interurban roads, the management of urban pavements is a comprehensive task given the complexity of urban networks, the coordination with various services and the variable traffic demands. Given this scenario for urban pavement management, there is a need for better understanding urban pavements performance for network management. An overall condition index that combines most relevant distresses affecting urban pavements performance is required for network analysis due to several pavement condition indices available were developed for interurban road networks (highways, express corridor, etc.); moreover, several performance models have been developed for particular distresses, and some of them for pavement condition indexes of interurban pavements. Then, their direct application to urban networks (streets, avenues, etc.) is not representative and their adaptability for these conditions requires previous adjustments and calibration. This research was focused on the network level analysis of urban pavements, towards the development of practical and sustainable technical tools to be further integrated into an Urban Pavement Management System (UPMS). The main objective was to calibrate an Urban Pavement Condition Index (UPCI) and Performance Models, technical components required for an UPMS, based on data collected in urban networks in Chile.

Download or read book Pavement Management Systems written by Md. Shohel Reza Amin and published by . This book was released on 2016 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The physical condition of road infrastructure in Canada is not good and roads are in critically condition in many regions. Canadian transportation agencies still require a comprehensive pavement management system (PMS) to guide and recommend the best practices for their appropriate application and communication. The general objective of this research is to extend PMS by incorporating dynamic states of land use, regional economics, travel modeling, and socio-economic development criteria. The specific objectives at regional scale is to integrate regional economy, transport modeling and community development criteria to simulate freight-traffic distribution between Atlantic Provinces of Canada to improve pavement-deterioration modeling and overall province-wide PMS. The specific objective at urban scale is to develop PMS for the road network of Montreal city incorporating simulated traffic and measurement errors free pavement performance curves. Comparison of current practices and proposed PMS based on simulated truck traffic reveals that incorporation of simulated truck traffic into PMS resulted in a more accurate estimation of required levels of funding for maintenance and rehabilitation (M&R). Socio-economic factors of the communities of Atlantic Provinces of Canada are integrated with regional economy and transportation modeling to support multi-criteria based PMS considering that policy makers are not only guided by the engineering characteristics but also by socio-economic benefits of the communities to allocate M&R budget. With and without scenarios of community development criteria into PMS have different implications on M&R budgets. The Backpropagation Neural Network (BPN) method with Generalized Delta Rule (GDR) learning algorithm is applied to develop pavement performance curves for Montreal road network reducing the measurement errors. Finally, a linear programming of PMS is developed for Montreal city incorporating the simulated traffic and pavement performance curves developed by BPN networks. Lifecycle optimization of PMS estimates that CAD 150 million is the minimum annual budget to achieve most of arterial and local roads are at least in good condition (PCI>70) in Montreal city. This research will provide the transportation agencies with an improved decision-making framework capable of delivering a more balanced M&R budget for the achievement of global objectives, such as cost, condition, service, accessibility, and community benefits.

Download or read book Probabilistic Modeling of Flexible Pavement Overlay Performance and Performance related Pay Adjustment written by Zilong Wang and published by . This book was released on 2016 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: The performance of pavement plays a critical role in maintenance, rehabilitation and reconstruction (MR & R) for highway agencies. Reliable and accurate estimation of pavement performance can be instrumental in prioritization of the limited resources and funding in highway agencies. This dissertation presented a rational development of performance-related pay adjustments framework with deterministic and probabilistic models of pavement performance, with application to in-place air void contents and international roughness index (IRI) of asphalt pavements. The analyses were performed based on the quality assurance data collected from construction database and pavement performance data extracted from pavement management system. Performance-related pay adjustments were formulated using life-cycle cost analysis (LCCA) considering two different scenarios of maintenance strategy and the variations of pavement overlay life. Comparison was made between the calculated performance-related pay adjustments and the pay adjustments currently used by highway agency. The similarity and dissimilarity were discussed and recommendations were provided based on the analysis results. The results indicate that there are unneglectable variations in the model parameters for estimating the expected pavement life due to deviations in acceptance quality characteristics. This implies that addressing the variations in pavement performance modeling is a critical issue in deriving performance-related pay adjustments. Probabilistic results show that the Bayesian approach with Markov chain Monte Carlo (MCMC) methods can capture unobserved variations in pavement condition data and relate the quality measure to the expected pavement life with satisfactory goodness of fit. The probabilistic modeling results reflect the need to consider the level of reliability in decision making of pay adjustments. The pavement overlay performance after minor and major rehabilitation was evaluated considering the effect of pre-overlay condition. Through deterministic LCCA, optimal rehabilitation strategy can be recommended based on pre-overlay condition. Probability index, a risk related factor was proposed based on probabilistic LCCA and demonstrated its merit compared to the result from deterministic analysis. It can quantitatively show the risk of choosing inappropriate rehabilitation treatment under different scenarios for decision maker. The methodology can be implemented into PMS and reduce the failure risk of roadway network.

Download or read book Developing Cost effective Pavement Maintenance and Rehabilitation Schedules written by Gulfam Jannat and published by . This book was released on 2017 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pavement Maintenance and Rehabilitation (M&R) are the most critical and expensive components of infrastructure asset management. Increasing traffic load, climate change and resource limitations for road maintenance accelerate pavement deterioration and eventually increase the need for future maintenance treatments. Consequently, pavement management programs are increasingly complex. The complexities are attributed to the precise assessment process of the overall pavement condition, realistic distress prediction and identification of cost-effective M&R schedules. Cost-effective road M&R practices are only possible when the evaluation of pavement condition is precise, pavement deterioration models are accurate, and resources must also be available at the right time. In a Pavement Management System (PMS), feasible M&R treatments are identified at the end of each branch of the decision trees. The decision trees are based on empirical relationships of the pavement performance index. Moreover, the predicted improvements in pavement performance for any treatment are set based on engineering experiences. Furthermore, the remaining service life of the pavement is estimated from the predicted deterioration of the overall condition. The future deterioration of the overall condition is estimated based on the initial condition and by considering only the effect of age notwithstanding the effect of traffic or materials. In assessing the overall condition of the pavement, this research overcomes the limitations of engineering judgment by incorporating a Mechanistic-Empirical (M-E) approach and estimating the improvement in performance for specific treatment types. It also considers the effect of traffic and materials on pavement performance to precisely predict its future deterioration and subsequent remaining service life. The objective of this research is to develop cost-effective pavement M&R schedules by incorporating (a) the M-E approach into the overall condition index and (b) the estimate of performance indices by considering the factors affecting pavement performance. The research objective will be accomplished by (i) incorporating variability analysis of existing performance evaluation practices and maintenance decisions of pavement, (ii) investigating estimates of existing performance indices, (iii) incorporating the M-E approach: sensitivity analysis, prediction, comparison and verification, (iv) estimating the deterioration model based on traffic characteristics and material types, and (v) identifying cost-effective M&R treatment options through Life Cycle Cost Analysis (LCCA). This study uses the pavement performance data of Ontario highways recorded in the Ministry of Transportation (MTO) pavement database. Precise assessment of pavement condition is a significant part in achieving the research goal. In a PMS, an accurate location reference system is necessary for managing pavement evaluations and maintenance. The length of the pavement section selected for evaluation may have a significant impact on the assessment irrespective of the type of performance indices. In Ontario, the highway section lengths range from 50m to 50,000m. For this reason, a variability in performance evaluation is investigated due to changes in section length. This study considers rut depth, Pavement Condition Index (PCI), and International Roughness Index (IRI) as performance indices. The distributions of these indices are compared by the following groupings of section lengths: 50m, 500m, 1,000m and 10,000m. The variations of performance assessments due to changing section lengths are investigated based on their impact on maintenance decisions. A Monte Carlo simulation is carried out by varying section lengths to estimate probabilities of maintenance work requirements. Results of such empirical investigations reveal that most of the longer sections are evaluated with low rut depth and the shorter sections are evaluated with high rut depth. This Monte Carlo simulation also reveals that 50m sections have a higher probability of maintenance requirements than 500m sections. The method of estimating performance indices is also investigated to identify the requirement of improvement in estimation of the prediction models. Generally, in a PMS, the prediction models of Key Performance Indicators (KPIs) are estimated by using the Ordinary Least Square (OLS) approach. However, the OLS approach can be inefficient if unobserved factors influencing individual KPIs are correlated with each other. For this reason, regression models for KPI predictions are estimated by using an approach called the 'Seemingly Unrelated Regression (SUR)' method. The M-E approach is used in this study to predict the future distresses by employing mechanistic-empirical models to analyze the impact of traffic, climate, materials and pavement structure. The Mechanistic-Empirical Pavement Design Guide (MEPDG) software uses a three-level hierarchical input to predict performance in terms of IRI, permanent deformation (rut depth), total cracking (reflective and alligator), asphalt concrete (AC) thermal fracture, AC bottom-up fatigue cracking and AC top-down fatigue cracking. However, these inputs have different levels of accuracy, which may have a significant impact on performance prediction. It would be ineffective to put effort for obtaining accuracy at Level 1 for all inputs. For this reason, a sensitivity analysis is carried out based on an experimental design to identify the effect of the accuracy level of inputs on the distresses. Following this, a local sensitivity analysis is carried out to identify the main effect of input variables. Interaction effects are also analyzed based on a random combination of the inputs. Since the deterioration of pavement is affected by site-specific traffic, local climate and properties of materials, these variables are carefully considered during the development of the pavement deterioration model to assess overall pavement conditions. The prediction model is developed by using a regression approach considering distresses of the M-E approach. In this study, the deterioration model is estimated for three groups of Annual Average Daily Traffic (AADT) to recognize their individual impact along with properties of materials. The time required for maintenance is also estimated for these categories. The investigations reveal that the expected time to maintenance for overlay with Dense Friction Course (DFC) and Superpave mixes is higher than other Hot Laid (HL) asphalt layers. This will help pavement designers and managers to make informed decisions. The probability of failure is also investigated by a probabilistic approach. With the increasing trend towards M&R of existing pavements, it is essential to make cost-effective use of the M&R budget. As such, identification of associated cost-effective M&R treatments is not always simple in most PMS. For this reason, a LCCA is carried out for alternate pavement treatments using the deterioration model based on traffic levels and material types. Comparing the Net Present Worth (NPW) value of alternative treatment options reveals that the overlay of pavement with DFC is the most cost-effective choice in the case of higher AADT. On the other hand, overlay with Hot Laid-1 (HL-1) is a cost-effective treatment option for highway sections with lower AADT. Although the results are related to the Ontario highway system, this can also be applied elsewhere with similar conditions. The outcome of the empirical investigations will result in the adoption of efficient road M&R programs for highways based on realistic performance predictions, which have significant impact on infrastructure asset management.

Download or read book Pavement Performance Models written by Matthew W. Witczak and published by . This book was released on 1976 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: