Results 41 to 50 of about 2,601 (208)
Local calibration of MEPDG rutting model for Ontario’s Superpave pavements [PDF]
The rutting models in the AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) have been calibrated to Ontario’s conditions for flexible pavements of Marshall mixes, and have yet to be calibrated for the Superpave materials. This study differs from previous studies in several counts: First, the local calibration database included both Superpave ...
openaire +1 more source
The resilient modulus represents the subgrade soil stiffness, and it is considered one of the key material inputs in the Mechanistic Empirical Pavement Design Guide (MEPDG).
Md Mostaqur Rahman +2 more
doaj +1 more source
Calibrating MEPDG inputs prediction models for asphalt mixes containing reclaimed asphalt pavement
In this thesis, the pavement sustainability practices were implemented by using recycled asphalt shingles (RAS) and reclaimed asphalt pavement (RAP) in asphalt pavements. Laboratory performance of mixes containing RAS and RAP were evaluated and characterized for a cold climate such as Manitoba, Canada.
S. M. El-Badawy, A. Awed, F. M. Bayomy
openaire +3 more sources
Mechanistic-empirical pavement design guide : características y elementos distintivos [PDF]
[Abstract] This paper is aimed at describing the most distinctive features of the pavement design method known as Mechanistic-Empirical Pavement Design Guide and to compare it with other renowned methodologies, while emphasizing its advantages and ...
Martínez-Díaz, Margarita +1 more
core +2 more sources
Asphalt pavement rutting model in seasonal frozen area
Effective prediction of rutting diseases in seasonal frozen area is helpful for comprehensive evaluation of asphalt pavement performance. In this paper, based on the Mechanical-Experienced Pavement Design Guide (MEPDG) theory, the rutting prediction ...
Zhang Lina, He Dongpo, Zhao Qianqian
doaj +1 more source
Looking to the future: The next-generation hot mix asphalt dynamic modulus prediction models [PDF]
This paper describes an innovative approach related to the development of a new hot mix asphalt (HMA) dynamic modulus (|E*|) prediction model by employing the artificial neural networks (ANNs) methodology.
Ceylan, Halil +3 more
core +3 more sources
LTRC is conducting a research project to determine the seasonal variation of subgrade resilient modulus (MR) in an effort to implement PavementME. One objective of that project, which is presented in this paper, was to locally calibrate the Enhanced Integrated Climate Model’s (EICM Fenv) curve for seasonal subgrade MR changes.
Kevin Gaspard +6 more
wiley +1 more source
Abstrak Penelitian ini bertujuan membandingkan akurasi metode prediksi kondisi jalan antara MEPDG 2015 dan IRMS V.3 sebagai dasar pemrograman preservasi jalan pada skala jaringan.
Gita Yuliani +2 more
doaj +1 more source
Dynamic cone penetrometer (DCP) has been used for decades to estimate the shear strength and stiffness properties of the subgrade soils. There are several empirical correlations in the literature to predict the resilient modulus values at only a specific
S. Hamed Mousavi +2 more
doaj +1 more source
Effect of M-E design guide inputs on flexible pavement performance predictions [PDF]
In support of the initiatives for implementing the new Mechanistic- Empirical Pavement Design Guide (MEPDG) in Iowa, a preliminary sensitivity study was undertaken to assess the comparative effect of design input parameters pertaining to material ...
Ceylan, Halil +3 more
core +3 more sources

