Développement d'un modèle de prédiction de l'uni des chaussées flexibles

Authors: Youdjari, Djonkamla
Advisor: Doré, Guy
Abstract: The objective of the thesis is to develop a model of prediction of the flexible pavements roughness. This goal was achieved through a rigorous process that involved four steps. First, a review of knowledge was made. It appears from this study that the International Roughness Index (IRI) is the index that better represents the roughness phenomenon, but the prediction is still empirical. Second, the two main pavement degradations that could cause roughness problems during the useful life are the permanent deformation and frost heave. After analysis of the existing models the need of the prediction model was established. The desired prediction models should have in their mathematical structure the geotechnical parameters of soil, which are the origin of variability along a road. For frost heave, the Konrad model (1981 and 2005) was found to be appropriate. However, for permanent deformation there was no adequate model. Thus, a permanent deformation model was developed. Third, a mathematical model for the prediction of pavements roughness in terms of IRI was derived. It has been built on rigorous assumptions and includes the following parameters: permanent deformation ( ε p ), frost heave (S), transverse crack ( Ft ) and coefficient representing the effect of amplification or attenuation of wavelengths (K). Fourth, the derived model was calibrated and validated with data obtained on actual pavements. For calibration, data from the LTTP and MTQ databases and the geotechnical parameters resulting from the characterization tests of the samples, taken at every 5 m along 5 different sites in Quebec Province were used. The required calibration coefficients have been determined successfully. For the validation of the model, due to lack of geotechnical parameters at every 5 m along the identified sections to achieve this objective, the principle of the model use level has been developed. Three levels of the model use were developed and the model was validated at the third level with an acceptable level of success.
Document Type: Thèse de doctorat
Issue Date: 2018
Open Access Date: 9 October 2018
Permalink: http://hdl.handle.net/20.500.11794/31592
Grantor: Université Laval
Collection:Thèses et mémoires

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