Analysis of flexible pavement performance prediction models based on structural behaviour

Paulius Paplauskas; Audrius Vaitkus; Rita Kleizienë

doi:10.7409/rabdim.019.017

Published: 2019-12-31

Vol. 18 No. 4 (2019)

Analysis of flexible pavement performance prediction models based on structural behaviour

Paulius Paplauskas , Audrius Vaitkus , Rita Kleizienë

Section: Articles

https://doi.org/10.7409/rabdim.019.017

Abstract

Sustainable and durable road pavement requires appropriate maintenance and repair strategies. National road authorities collect data describing pavement condition every several years and use specific life-cycle analysis methods to draw up priority plans for maintenance activities. The pavement performance models (PPMs) create a basis for the life-cycle and cost-benefit analysis as they help to evaluate pavement condition as well as to predict pavement deterioration. The objective of this research is analysing different PPMs of rut depth propagation and to compare predicted rut depth with measured during service of the road. Four PPMs were analysed during this research based on a traffic flow or construction age. The pavement performance prediction models were applied to predict the increment of rutting for eleven road sections based on their bearing capacity properties.

Keywords:

deterioration, FWD, surface curvature index SCI, pavement performance model, rutting.

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Paplauskas, P., Vaitkus, A., & Kleizienë, R. (2019). Analysis of flexible pavement performance prediction models based on structural behaviour. Roads and Bridges - Drogi I Mosty, 18(4), 255–265. https://doi.org/10.7409/rabdim.019.017

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Paulius Paplauskas

paulius.paplauskas@vgtu.lt

Affiliation:

Vilnius Gediminas Technical University, Department of Road, 11 Saulëtekio av., 10223 Vilnius, Lithuania

Audrius Vaitkus

Affiliation:

VGTU Road Research Institute, 28 Linkmenų str., 08217 Vilnius, Lithuania

Rita Kleizienë

Affiliation:

VGTU Road Research Institute, 28 Linkmenų str., 08217 Vilnius, Lithuania

Analysis of flexible pavement performance prediction models based on structural behaviour

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Paulius Paplauskas

Audrius Vaitkus

Rita Kleizienë