Pavement Deterioration Modeling: quantifying uncertainties and practical considerations - Couverture souple

Amador Jimenez, Luis Esteban

 
9783659157882: Pavement Deterioration Modeling: quantifying uncertainties and practical considerations
Couverture souple
ISBN 10 : 3659157880 ISBN 13 : 9783659157882
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

PhD, MBA, P.Eng. B.Eng., BBA: Assistant Professor of Civil Engineering at Concordia University. Served at the Board of Directors of Costa Rica Roads Administration. Former Director of Engineering at the Urban Municipality of Kindersley (SK), Director of Technical Studies at the Costa Rica Construction Association, and former Engineer at Luis Rojas.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659157880
ISBN 13 
9783659157882
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
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