Materials and Performance Data for Texas Flexible Pavements and Overlays PDF Download

Author: Lubinda F. Walubita
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages :

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Author: Lubinda F. Walubita
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 1

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Book Description

Author: Sang Ick Lee
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 90

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Book Description
Proper calibration and validation of pavement design and performance models to Texas conditions is essential for cost-effective flexible pavement design, performance predictions, and maintenance/rehab strategies. The veracity of the calibration of the Texas Department of Transportation pavement design models will determine how optimally billions of dollars of future roadway investment capital will be spent. For proper calibration/validation and tangible benefits, quality and reliable pavement performance data should be collected on a sustained basis. In order to accomplish the task of data collection, this five-year project was initiated to develop a comprehensive data storage system (DSS) of material properties and performance data for Texas flexible pavements and overlays. The objective of the project was to collect materials and pavement performance data on a minimum of 100 highway test sections around Texas. In total, the SS comprises 112 highway test sections scattered across Texas. This report documents all the work performed, methods used, and results ompleted throughout the project. These tasks included gathering design and construction data of test sections, executing laboratory and field performance testing, collecting traffic and climate data, and developing the data repository system consisting of the DSS and a raw data storage system (RDSSP). Finally, recommendations for the continuation of data collection to enable further calibration of performance models are given.

Author: Lubinda F. Walubita
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages :

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Book Description

Author: Sang Ick Lee
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 86

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Book Description
This five--year project was initiated to collect materials and pavement performance data on a minimum of 100 highway test sections around the state of Texas, incorporating both flexible pavements and overlays. Besides being used to calibrate and validate mechanistic-empirical (M-E) design models, the data collected will also serve as an ongoing reference data source and/or diagnostic tool for Texas Department of Transportation engineers and other transportation professionals. Toward this goal, this second interim report provides documentation of the work performed from Year 1 through Year 5 of this project, focusing on Phases II and III activities, including the following: (a) collection, processing, and analysis of laboratory and field data; (b) data population and update in the data storage system (DSS) and raw data storage system for the project 0-6658 (RDSSP), respectively; (c) development of M-E calibration plans and guideline; and (d) preliminary calibration of the M-E models and software to Texas conditions using the collected data in the DSS.

Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 0

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Author: K. Anupam
Publisher: CRC Press
ISBN: 1000343480
Category : Juvenile Nonfiction
Languages : en
Pages : 501

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Book Description
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.

Author: A. T. Papagiannakis
Publisher: John Wiley & Sons
ISBN: 1119412773
Category : Technology & Engineering
Languages : en
Pages : 555

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Book Description
A comprehensive, state-of-the-art guide to pavement design and materials With innovations ranging from the advent of SuperpaveTM, the data generated by the Long Term Pavement Performance (LTPP) project, to the recent release of the Mechanistic-Empirical pavement design guide developed under NCHRP Study 1-37A, the field of pavement engineering is experiencing significant development. Pavement Design and Materials is a practical reference for both students and practicing engineers that explores all the aspects of pavement engineering, including materials, analysis, design, evaluation, and economic analysis. Historically, numerous techniques have been applied by a multitude of jurisdictions dealing with roadway pavements. This book focuses on the best-established, currently applicable techniques available. Pavement Design and Materials offers complete coverage of: The characterization of traffic input The characterization of pavement bases/subgrades and aggregates Asphalt binder and asphalt concrete characterization Portland cement and concrete characterization Analysis of flexible and rigid pavements Pavement evaluation Environmental effects on pavements The design of flexible and rigid pavements Pavement rehabilitation Economic analysis of alternative pavement designs The coverage is accompanied by suggestions for software for implementing various analytical techniques described in these chapters. These tools are easily accessible through the book’s companion Web site, which is constantly updated to ensure that the reader finds the most up-to-date software available.

Author: Feng Hong
Publisher:
ISBN:
Category : Pavements, Flexible
Languages : en
Pages : 84

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Book Description

Author: K. M. Saifur Rahman
Publisher:
ISBN: 9781339034737
Category : Pavements
Languages : en
Pages : 183

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Book Description
One of the main elements of any Pavement Management System is Pavement Performance Modeling. Accurate pavement performance models can save millions of dollars through proper maintenance of the transportation pavement infrastructure. Several pavement performance models have been developed over the years to predict pavement performance. However, in the development of pavement performance models the climatic parameters were often ignored. Climatic inputs, especially rainfall, affect pavement performances because material properties change with temperature and moisture conditions particularly in ACP (Asphalt Concrete Pavement). The modulus of the unbound materials is sensitive to the variation of moisture content. Rainwater can infiltrate into the unsaturated pavement layers though cracks, joints or edges of the pavement and can deteriorate the pavement structure by reducing structural capacity. This study investigates rainfall impacts on pavement performance and maintenance costs of asphalt concrete pavement on Texas highways. Performance models are developed to accurately predict the pavement condition and performance for the Texas Department of Transportation (TXDOT) Highway pavement network for San Antonio Districts. In addition, tools are developed to accurately estimate the future maintenance cost considering rainfall. TxDOT's PMIS data for the San Antonio Texas Department of Transportation (TxDOT) District was used for pavement conditions and NOAA data was used for historical rainfall information. One Way Analysis of Variance (ANOVA) was performed to determine the significant variables for the pavement performance model. The San Antonio District's road network broken into five pavement families following functional classes such as Interstate Highways (IH) main lane, Interstate Highways (IH) frontage lane, State Highways (SH), US highways (US) and Farm to Market Road (FM). The statistical modeling reported herein shows that rainfall had a significant impact on deterioration of pavement conditions of Interstate Highways (IH) for main lanes. For Interstate Highways (IH) frontage lane and Farm to Market (FM) pavement families combination of rainfall and traffic class had significant impact on the pavement performance model. Engineering knowledge supported the concept that increasing amount of rainfall will degrade the pavement structure at a faster rate. However, statistical analysis of the available data showed that rainfall did not have a significant statistical impact on the performance model of State Highway (SH) and US highways (US) pavement families. Other significant factors that affect the flexible pavement performance identified in this research for all pavement types are pavement age and previous year's distress scores. Previous maintenance and rehabilitation (M&R) activities performed on a pavement section will also have a significant impact on the pavement deterioration model for pavement families except for Interstate Highway (IH) main lanes and U.S Highways (US). In this research, an application was developed to estimate the maintenance cost of the network considering the rainfall and other significant factors. This tool will allow users to accurately predict future maintenance costs and allocate appropriate budgets.