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https://nap.nationalacademies.org/catalog/27432/critical-issues-in-transportation-for-2024-and-beyond

DEVELOPMENT OF PAVEMENT PERFORMANCE MODELS FOR SECONDARY ROADS WITH THIN OVERLAYS

KEVYTPAALLYSTEISTEN TIENRAKENTEIDEN PROJEKTI, HAVAINTOTIE-AINEISTON KOKOAMINEN JA ANALYSOINTI

This report is the second part of project "Development of pavement performance models and design methods for secondary roads with thin overlays" and includes the findings of the first step of the data analysis and development of pavement performance models. The models are developed for use in the Pavement Management Systems of Finnra, which are called HIPS (Highway Investment Programming System) and PMS (Pavement Management System). Because no long term pavement performance test section data were currently available from this type of road network, the first objective of this task was to select a sample of test sections from the existing road network. Test sections were selected based on experimental design with variations in climatical location, subgrade properties, traffic levels, overlay type and pavement age. Only network level information from the national condition data-base (KURRE) were available for the test sections. This data is not collected for use in data modelling and included therefore limitations such as deflection measurements done with 500 m spacing and no information about the road structure (layer thickness or materials) available. In addition to the existing data an extra set of high speed surface condition measurement data (PTM-measurements) and a video recording of the sections were done in year 1999. Slope inclination and drainage properties of the structure were estimated from the video. This method anyway showed not to be very reliable for such judgements. The main objective of this task was to analyse the data from the test sections to find correlation between explanatory variables and performance indicators. The considered performance indicators were longitudinal unevenness (IRI), transverse unevenness (ridge height between wheel paths) and cracking. The study was done separately for soft asphalt concrete (PAB) and asphalt concrete (AB) sections. In general the correlation between the performance indicators and the explanatory variables were very low. In the analysis of longitudinal- and transverse unevenness some relationship could be found with Surface Curvature Index (SC1450) and pavement surface width on soft asphalt concrete roads. No correlation with cracking could be found in the analysis for soft asphalt concrete roads and correlation could not be found at all for any performance indicator on asphalt concrete roads. In the second face of analysis in the project more reliable and exact data will be available. FWD measurements will be done with shorter spacing interval, information from Ground Penetrating Radar measurements will be used for estimation of layer thickness of the road structures and furthermore a visual inspection of the surface condition will be done. All this additional information is expected to increase the quality of the data for the final analysis stage.

  • Availability:
  • Corporate Authors:

    TIELAITOS (FINNISH NATIONAL ROAD ADMINISTRATION)

    OPASTINSILTA 12 A
    HELSINKI,   Finland  FIN-00520
  • Authors:
    • SPOOF, H
    • PETAJA, H
  • Publication Date: 2000

Language

  • Finnish

Media Info

  • Features: References;
  • Pagination: 91p+91a p.
  • Serial:
    • TIELAITOKSEN SELVITYKSIA
    • Volume: TIEL 3200637
    • Issue Number: 51
    • Publisher: TIELAITOS (FINNISH NATIONAL ROAD ADMINISTRATION)
    • ISSN: 0788-3722

Subject/Index Terms

Filing Info

  • Accession Number: 00926915
  • Record Type: Publication
  • Source Agency: VTT Technical Research Centre of Finland
  • ISBN: 951-726-694-4
  • Files: ITRD
  • Created Date: Jul 8 2002 12:00AM