Author: Lanka Santha
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 110
Book Description
Development of Pavement Performance Prediction Models for Georgia Pavements
Author: Lanka Santha
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 110
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 110
Book Description
Development of Pavement Performance Prediction Models for Preservation Treatments
Developing Pavement Performance Prediction Models and Decision Trees for the City of Cincinnati
Author: Arudi Rajagopal
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 48
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.
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 48
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.
Development of a Pavement Performance Prediction Model Using Multiple Regression
Author: Dattatray Suresh Patil
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 146
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 146
Book Description
Development of Pavement Prediction Models
Author: Ying-Haur Lee
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 344
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 344
Book Description
Development of Initial Pavement Performance Prediction Models for Edmonton's Flexible Pavements
Advances in Materials and Pavement Prediction
Author: Eyad Masad
Publisher: CRC Press
ISBN: 0429855796
Category : Technology & Engineering
Languages : en
Pages : 879
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.
Publisher: CRC Press
ISBN: 0429855796
Category : Technology & Engineering
Languages : en
Pages : 879
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.