Results 51 to 60 of about 3,809 (227)
Global Sensitivity Analysis of Mechanistic–Empirical Performance Predictions for Flexible Pavements [PDF]
The new AASHTO Mechanistic–Empirical Pavement Design Guide (MEPDG) provides pavement analysis and performance predictions for various feasible design scenarios. The MEPDG performance predictions for the anticipated climatic and traffic conditions depends
Ceylan, Halil +5 more
core +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
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
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
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
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
Real‐Time Road Crack Mapping Using an Optimized Convolutional Neural Network
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
Global Sensitivity Analysis of Jointed Plain Concrete Pavement Mechanistic-Empirical Performance Predictions [PDF]
The new AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) provides pavement analysis and performance predictions for various what-if scenarios.
Ceylan, Halil +5 more
core +3 more sources
The resilient modulus of subgrade is a design parameter of the pavement structure, which is significantly affected by the overlying load and traffic load. It is important to calculate the equivalent resilient modulus of the top surface of subgrade based on the nonuniform distribution of resilient modulus in subgrade.
Yongsheng Yao +5 more
wiley +1 more source

