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Modeling pavement performance based on data from the Swedish LTPP database : predicting cracking and rutting Svensson, Markus

Av: Serie: TRITA-TSC-LIC ; 13-001Utgivningsinformation: Stockholm Kungliga tekniska högskolan. Institutionen för transportvetenskap, 2013Beskrivning: 108 s. + bil (28 s.)ISBN:
  • 9789187353017
Ämnen: Onlineresurser: Bibl.nr: VTI P4857:2013-01Location: Avhandlingskommentar: Licentiatavhandling Stockholm : Kungliga tekniska högskolan. Institutionen för transportvetenskap, 2013 Abstrakt: 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.
Exemplartyp: Licentiatavhandling
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Statens väg- och transportforskningsinstitut Tillgänglig

Licentiatavhandling Stockholm : Kungliga tekniska högskolan. Institutionen för transportvetenskap, 2013

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.