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.
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About the Author
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.
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Pavement Deterioration Modeling
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LAP LAMBERT Academic Publishing Jun 2012, 2012
ISBN 10: 3659157880
ISBN 13: 9783659157882
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 116 pp. Englisch. Seller Inventory # 9783659157882
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Pavement Deterioration Modeling
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Amador Jimenez Luis EstebanPhD, 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 Urb. Seller Inventory # 5135742
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Pavement Deterioration Modeling
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LAP LAMBERT Academic Publishing Jun 2012, 2012
ISBN 10: 3659157880
ISBN 13: 9783659157882
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Seller Inventory # 9783659157882
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Pavement Deterioration Modeling : quantifying uncertainties and practical considerations
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659157880
ISBN 13: 9783659157882
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659157882
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Pavement Deterioration Modeling | quantifying uncertainties and practical considerations
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Taschenbuch. Condition: Neu. Pavement Deterioration Modeling | quantifying uncertainties and practical considerations | Luis Esteban Amador Jimenez | Taschenbuch | 116 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659157882 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106411776
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Pavement Deterioration Modeling: quantifying uncertainties and practical considerations
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