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Author: Dattatray Suresh Patil
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 146
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Book Description
Author: Dattatray Suresh Patil
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 146
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Book Description
Author: Arudi Rajagopal
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 48
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Book Description
This report presents the details of a study conducted to develop pavement performance prediction models and decision trees for various families of pavements, using the data available with the City of Cincinnati. Required data was acquired from city's pavement inventory database. The road network was divided into two classifications namely, major roads and minor roads. These roads were further grouped based on their structural makeup. Statistical regression models were developed for each group. A decision tree was developed to suggest appropriate maintenance and rehabilitation activities based on the condition of the pavement. The city engineers can use these models in conjunction with their pavement management system to predict the future condition of the highway network in Cincinnati and to implement cost effective pavement management solutions. Using the methodology developed in this study, the engineers can also further improve the accuracy of the models in the future.
Author: Lanka Santha
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 110
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Book Description
Author: Ying-Haur Lee
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 344
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Book Description
Author: Robert L. Schmitt (Ph.D.)
Publisher:
ISBN:
Category : Pavements, Asphalt
Languages : en
Pages : 66
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Book Description
Author: John P. Zaniewski
Publisher:
ISBN:
Category :
Languages : en
Pages : 428
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Book Description
Author: H. Yokota
Publisher:
ISBN:
Category : Falling weight deflectometer (FWD)
Languages : en
Pages : 15
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Book Description
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.
Author:
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Category : PaveSpec 3.0 (Computer file)
Languages : en
Pages : 228
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Book Description
"The current performance-related specifications (PRS) methodology has been under development by the Federal Highway Administration (FHWA) for several years and has now reached a level at which it can be implemented by State highway agencies. PRS for highway pavements depend heavily on performance prediction models to determine the impact of varying levels of construction quality. This study focused on the improvement of the key distress and smoothness prediction models used in the PRS for jointed plain concrete pavement (JPCP). Performance models for transverse joint faulting, transverse slab cracking, transverse joint spalling, and smoothness (International Roughness Index [MI]) were evaluated and then improved substantially. This was accomplished using a comprehensive national database of JPCP performance data, along with sound statistical and engineering techniques. Performance model calibration guidelines were also developed so that a State cari calibrate any of these models specifically to its pavement performance data. The PaveSpec PRS demonstration software was upgraded to Version 3.0 under this study. Some of the specific improvements incorporated in PaveSpec 3.0 include: 1) incorporation ofyim proved distress indicator models, as well as the ability to calibrate or modify the default models, 2) sensitivity analysis capabilities, 3) expected pay charts, and 4) online help. Appendix A of this report contains a complete updated PaveSpec User's Guide"--Technical report documentation page
Author: Eyad Masad
Publisher: CRC Press
ISBN: 0429855796
Category : Technology & Engineering
Languages : en
Pages : 879
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Book Description
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.
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.
