Results 41 to 50 of about 1,051 (216)

Evaluation of the Resilient Modulus of the Dunaújváros Loess Soil According to the MEPDG

open access: yesTehnički vjesnik, 2022
The resilient modulus (MR) of the earthworks is a basic input parameter of the new alternative design method of pavement structures. Its value depends on the stress state and the properties of the soil. In the literature several models are available that are based on directly measured results, thus they make possible to determine the value of the ...
Márta Back, János Szendefy
openaire   +3 more sources

Estimation of Resilient Modulus for Coarse-Grained Subgrade Soils from Quick Shear Tests for Mechanistic-Empirical Pavement Designs

open access: yesDesigns, 2019
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

Resilient modulus prediction of soft low-plasticity Piedmont residual soil using dynamic cone penetrometer

open access: yesJournal of Rock Mechanics and Geotechnical Engineering, 2018
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

Asphalt pavement rutting model in seasonal frozen area

open access: yesMagazine of Civil Engineering, 2022
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

Investigating the Impact of Material Properties on Mechanistic‐Empirical Flexible Pavement Design Using AASHTOWare Pavement ME Design

open access: yesAdvances in Materials Science and Engineering, Volume 2026, Issue 1, 2026.
This study systematically investigates the influence of various material and soil property inputs on the mechanistic‐empirical (ME) design of flexible pavements, utilizing the AASHTOWare Pavement ME Design software. An experimental design framework, specifically the Plackett–Burman design, was employed to analyze the effects of eleven critical ...
Neamah Suwaidan Adwez   +3 more
wiley   +1 more source

Modeling the Resilient Modulus Variation of In Situ Soils due to Seasonal Moisture Content Variations

open access: yesAdvances in Civil Engineering, Volume 2019, Issue 1, 2019., 2019
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

MEPDG Work Plan Task No. 8: Validation of Pavement Performance Curves for the Mechanistic-Empirical Pavement Design Guide, 2009 [PDF]

open access: yes, 2009
The objective of this research is to determine whether the nationally calibrated performance models used in the Mechanistic-Empirical Pavement Design Guide (MEPDG) provide a reasonable prediction of actual field performance, and if the desired accuracy ...

core  

Intelligent Prediction of Pavement Structural Degradation Using a Multimodel Ensemble Learning Approach

open access: yesStructural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Accurate prediction of the long‐term structural response of pavement systems is critical for performance evaluation and intelligent maintenance within the context of structural health monitoring. This study proposes an automated machine learning framework to predict the time‐dependent evolution of pavement rutting and deflection using full‐scale ...
Kaiwen Lei   +7 more
wiley   +1 more source

Real‐Time Road Crack Mapping Using an Optimized Convolutional Neural Network

open access: yesComplexity, Volume 2019, Issue 1, 2019., 2019
Pavement surveying and distress mapping is completed by roadway authorities to quantify the topical and structural damage levels for strategic preventative or rehabilitative action. The failure to time the preventative or rehabilitative action and control distress propagation can lead to severe structural and financial loss of the asset requiring ...
M-Mahdi Naddaf-Sh   +5 more
wiley   +1 more source

Local Calibration of the MEPDG for Flexible Pavement Design [PDF]

open access: yes, 2007
The 1993 American Association of State Highway and Transportation Officials (AASHTO) Guide for Design of Pavement Structures is a mere modification of the empirical methods found in its earlier versions that are based on regression equations relating ...
Muthadi, Naresh Reddy
core  

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