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Modeling Pavement Performance based on Data from the Swedish LTPP Database: Predicting Cracking and Rutting
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Highway and Railway Engineering.
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The roads in our society are in a state of constant degradation. The reasons for this are many, and therefore constructed to have a certain lifetime before being reconstructed. To minimize the cost of maintaining the important transport road network high quality prediction models are needed. This report presents new models for flexible pavement structures for initiation and propagation of fatigue cracks in the bound layers and rutting for the whole structure.

The models are based on observations from the Swedish Long Term Pavement Performance (LTPP) database. The intention is to use them for planning maintenance as part of a pavement management system (PMS). A statistical approach is used for the modeling, where both cracking and rutting are related to traffic data, climate conditions, and the subgrade characteristics as well as the pavement structure.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. , xiii, 108 p.
Series
Trita-TSC-LIC, ISSN 1653-445X ; 2013:001
Keyword [en]
performance predictions, LTPP, rut, crack, statistical modeling
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-119863ISBN: 978-91-87353-01-7 (print)OAI: oai:DiVA.org:kth-119863DiVA: diva2:612769
Presentation
2013-01-31, Sal M,, Brinellvägen 23 KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20130325

Available from: 2013-03-25 Created: 2013-03-25 Last updated: 2013-04-12Bibliographically approved
List of papers
1. Modeling of performance for road structure ruttingand cracking based on data from the Swedish LTPP database
Open this publication in new window or tab >>Modeling of performance for road structure ruttingand cracking based on data from the Swedish LTPP database
2011 (English)In: 8th International Conference on Managing Pavement Assets, November 15-19, 2011, Santiago, Chile: "Fulfilling the Social, Economic and Environmental Responsibility for Sustainable, Well Managed, Better Roads", 2011Conference paper, Published paper (Refereed)
Abstract [en]

Roads are in a state of constant form of degradation due to factors such as climate and heavy traffic loads and are therefore constructed to have a certain lifetime before being reconstructed. To minimize the cost of construction and reconstruction, robust models for predicting their performance are needed. The aim for this project is to develop prediction models for flexible pavement structures for initiation and propagation of fatigue cracks in the bound layers and rutting for the whole structure. The models are based on observations from the Swedish Long Term Pavement Performance (LTPP) database. The intention is to use the models for planning maintenance as a part of a pavement management system (PMS). A statistical approach is used for the modeling where both cracking and rutting are related to traffic data, climate conditions and the subgrade characteristics as well as the pavement structure. The results for one arterial road are then shown.

Keyword
performance predictions, LTPP, rut. crack. statistical modeling
National Category
Civil Engineering
Identifiers
urn:nbn:se:kth:diva-119817 (URN)
Conference
Eighth International Conference on Managing Pavement Assets
Note

QC 20130325

Available from: 2013-03-25 Created: 2013-03-22 Last updated: 2013-03-25Bibliographically approved
2. Modeling performance prediction, based on rutting and cracking data
Open this publication in new window or tab >>Modeling performance prediction, based on rutting and cracking data
2011 (English)In: 4th European Pavement and Asset Management Conference, 2011Conference paper, Published paper (Refereed)
Abstract [en]

Roads are in a state of constant form of deterioration, due to factors such as climate and heavy traffic loads and are therefore constructed to have a certain lifetime before being maintained. To minimize the cost of construction and rehabilitation, robust models for predicting their performance are needed. The aim of this project is to develop prediction models for flexible pavement structures for initiation and propagation of fatigue cracks in the bound layers, and rutting for the whole structure. The models are based on observations from the Swedish Long Term Pavement Performance (LTPP) database. The intention is to use them for planning maintenance activities; as a part of a pavement management system (PMS). A statistical approach is used for the modeling where both cracking and rutting are related to traffic data, climate conditions, the subgrade characteristics as well as the pavement structure. This paper will present validated models, linking climate, environment, construction methods, material and traffic with road distress.

Keyword
performance predictions, LTPP, rut, crack, statistical modeling
National Category
Civil Engineering
Identifiers
urn:nbn:se:kth:diva-119862 (URN)
Conference
EPAM 2012: Malmö, Sweden, 5-7 September
Note

QC 20130325

Available from: 2013-03-25 Created: 2013-03-25 Last updated: 2013-03-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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