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Author:
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ISBN:
Category : Pavements
Languages : en
Pages : 0
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Author:
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ISBN:
Category : Pavements
Languages : en
Pages : 0
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Author: Erland O. Lukanen
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 121
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Author: Arudi Rajagopal
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 48
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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: Said Easa
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 80
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Author: K. Anupam
Publisher: CRC Press
ISBN: 1000343480
Category : Juvenile Nonfiction
Languages : en
Pages : 501
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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.
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Category :
Languages : en
Pages : 132
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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.
Author: Lanka Santha
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 110
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Author: Hasan Ozer
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 54
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Author: Robert L. Lytton
Publisher: Strategic Highway Research Program (Shrp)
ISBN: 9780309056175
Category : Asphalt concrete
Languages : en
Pages : 500
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Book Description
A result of the Strategic Highway Research Program's asphalt research is the development of performance-based specifications for asphalt binders and mixtures to control 3 distress modes: rutting; fatigue cracking; and thermal cracking. The SHRP A-005 project developed detailed pavement performance models to support these binder and mixture specifications and performance-based mixture designs. This report documents the findings of this extensive research effort and provides supporting data for the performance-based specifications and mixture design procedure called SUPERPAVE. The A-005 contract developed and used a sophisticated, mechanistic-based pavement performance model to define the relationships between asphalt binder and mixture properties and pavement distress. A comprehensive pavement performance model was developed that predicts the amount of fatigue cracking, thermal cracking and rutting in asphalt concrete pavements with time, using results from the accelerated laboratory tests. The pavement performance models for each distress were also used to confirm the relevant binder and mixture properties established by other SHRP contractors. The model has 3 parts: a mixture evaluation model; a pavement response model; and a pavement distress model.
Author:
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ISBN:
Category : Pavements
Languages : en
Pages : 20
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