Pavement Deterioration Modeling
Pavement Deterioration Modeling

Author: Luis Esteban Amador Jimenez

Publisher: LAP Lambert Academic Publishing

Published: 2012-06

Total Pages: 116

ISBN-13: 9783659157882

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Deterioration models are employed to forecast pavement performance and to support decisions of funds allocation for maintenance and rehabilitation. However, they traditionally lack a measure of reliability. This book uses multilevel Bayesian regression modeling for mixing prior knowledge with experimental observations in order to develop deterioration modeling with the ability to quantify uncertainty. It explicitly considers materials properties, structural capacity (or strength), external loading and environmental exposure by adapting classical mechanistic models. Two network level case studies illustrate the applicability of the method and deal with some of the practical limitations: (1) a novel method develops performance modeling from two time series data, using the concept of apparent age, (2) another model uses pavement roughness and strength to address practical limitations such as missing data, incorporating expert criteria and handling predictors from different data structures. The methods presented can help local, regional or national authorities to develop initial, practical or more advanced models for pavement deterioration, capable of capturing uncertainty.

Applications of Advanced Technology in Transportation
Applications of Advanced Technology in Transportation

Author: Kelvin C. P. Wang

Publisher:

Published: 2002

Total Pages: 1008

ISBN-13:

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This collection contains 121 technical papers presented at the Seventh International Conference on Applications of Advanced Technology in Transportation, held in Boston, Massachusetts, August 5-7, 2002.

Development of Deterioration Models for Street Pavement in Dallas-Fort Worth Metroplex
Development of Deterioration Models for Street Pavement in Dallas-Fort Worth Metroplex

Author: Mladjan John Grujicic

Publisher:

Published: 2021

Total Pages: 211

ISBN-13:

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Accurate prediction of pavement deterioration is vital for an efficient and cost-effective allocation of available budgets for keeping an agency's road networks operating at a desirable level. Currently, most cities in the Dallas-Fort Worth Metroplex area are using the software PAVERTM and the associated performance models to predict future conditions as they do not have available reliable prediction models. However, the problem with this type of modeling is that the models are not calibrated to local conditions.The Pavement Deterioration Prediction models that have been developed in this research will help any pavement management agencies within DFW Metroplex area to identify and predict the future pavement performance for any planning period. The models were developed based on the available data collected by the city's pavement management department for the DFW Metroplex area. In this research, a family modeling approach has been used as this method reduces the number of independent variables in performance modeling to a single variable (age in this research) by enabling the development of models in each pavement family. Separate models are also developed for areas with expansive and non-expansive subgrade soil. A total of eleven models are developed for the areas non-expansive subgrade soil area and nine models for the areas with expansive subgrade soil. Deterministic models that are developed are applicable to cities with available historical data on PCI or IRI. The developed probabilistic models are applicable to cities with a current pavement condition data, but no less than the last two consecutive years.