Rut Depth Prediction on Flexible Pavements - Calibration and Validation of Incremental-Recursive Models

Research output: ThesisDoctoral Thesis (monograph)

2047 Downloads (Pure)

Abstract

In later years the development of pavement design has gone towards more and more analytically based methods. Future design will probably be based on incremental deterioration models.

The objective is to evaluate different types of rut depth prediction models for an incremental design process.

Two different models were chosen for further studies: One model that calculates the plastic strain through the whole pavement, and one model that calculates a critical response. The models were calibrated to accelerated pavement tests.

The energy model can probably be used for normal flexible pavements. The most important model parameter has almost the same value in two different studies, which indicates that that value is probably close to the best possible value. To get a good calibration of the plastic strain model, measurements of permanent deformations of each layer should be used.
Original languageEnglish
QualificationDoctor
Awarding Institution
  • Transport and Roads
Supervisors/Advisors
  • Hydén, Christer, Supervisor
Award date2005 Jun 17
Publisher
ISBN (Print)91-628-6555-2
Publication statusPublished - 2005

Bibliographical note

Defence details

Date: 2005-06-17
Time: 10:15
Place: Room V:A, V-building, John Ericssons väg 1, Lund Institute of Technology

External reviewer(s)

Name: Mahoney, Joe P.
Title: professor
Affiliation: University of Washington, USA

---

Subject classification (UKÄ)

  • Infrastructure Engineering

Free keywords

  • offshore technology
  • Civil engineering
  • hydraulic engineering
  • Teknik
  • Technological sciences
  • PM-system
  • deterioration models
  • rutting
  • pavement design
  • soil mechanics
  • Väg- och vattenbyggnadsteknik

Fingerprint

Dive into the research topics of 'Rut Depth Prediction on Flexible Pavements - Calibration and Validation of Incremental-Recursive Models'. Together they form a unique fingerprint.

Cite this