Results 181 to 190 of about 3,809 (227)

Enhancing MEPDG distress models prediction for Saudi Arabia by local calibration

Road Materials and Pavement Design, 2021
During the development of pavement design methods, the MEPDG is evolved by NCHRP 1-37 project. This reason led the roadway agencies to implement the MEPDG.
Abdulraaof H. Al-Qaili, Hamad Al-Solieman   +1 more
openaire   +2 more sources

Calibration of MEPDG permanent deformation models using Hamburg Wheel Rut Tester and field data

International Journal of Pavement Engineering, 2021
This paper presents a new approach for calibration of Mechanistic-Empirical Pavement Design Guide (MEPDG) permanent deformation models using the Hamburg Wheel Rut Tester (HWRT) Data.
Hossam F. H. Abdelfattah, Hassan Baaj, Hawraa J. Kadhim   +2 more
openaire   +2 more sources

Systematic back-calculation protocol and prediction of resilient modulus for MEPDG

International Journal of Pavement Engineering, 2016
AbstractA research focusing on the characterisation of representative local material properties was conducted to facilitate the full implementation of the Mechanistic-Empirical Pavement Design Guide for roadway designs in Wyoming. As part of the test program, falling weight deflectometer deflection data were collected from 25 test sites in Wyoming for ...
Kam Ng, Daniel Hellrung, Khaled Ksaibati, Shaun S. Wulff   +3 more
openaire   +2 more sources

Comparison of AASHTO 1993 and MEPDG considering the Egyptian climatic conditions

Innovative Infrastructure Solutions, 2017
The current flexible pavement design system in Egypt was adopted primarily from the AASHTO 1993 Design Guide. It is an empirical design method based on the results of the late 1950s AASHO Road test with many limitations. Thus, the Mechanistic-Empirical Pavement Design Guide (MEPDG) which is now called Pavement ME Design was developed to overcome those ...
Maha A. El-shaib, Sherif M. El-Badawy, El-Sayed A. Shawaly   +2 more
openaire   +2 more sources

Influence of Climatic Factors on the Pavement Performance in MEPDG

Airfield and Highway Pavements 2023, 2023
Venkatsushanth Revelli, Chenchen Huang, Ashith Marath, Surya Swarna Teja, Arunkumar Goli, Yusuf Mehta   +5 more
openaire   +2 more sources

An experimental design-based evaluation of sensitivities of MEPDG prediction: investigating main and interaction effects

International Journal of Pavement Engineering, 2015
The mechanistic–empirical pavement design guide (MEPDG) uses mechanistic–empirical models by analysing the impacts of traffic, climate, materials and pavement structure to predict performances of pavement. The MEPDG software uses a three-level hierarchical input to predict performance in terms of terminal International Roughness Index, permanent ...
Gulfam Jannat, Susan L. Tighe
openaire   +2 more sources

Use of FWD Data to Subdivide Pavement Sections for MEPDG Calibration

Geo-Congress 2020, 2020
Kazi Moinul Islam, M. Mostaqur Rahman, Sarah L. Gassman   +2 more
openaire   +2 more sources

Recommended Calibration Procedure of MEPDG Asphalt Rutting Model Using Repeated Load Permanent Deformation and Confined and Unconfined Dynamic Modulus Data

, 2021
The repeated load permanent deformation (RLPD) test is recognized as the most appropriate laboratory procedure to characterize rutting in asphalt mixtures.
A. Seitllari, M. Lanotte, M. Kutay
semanticscholar   +1 more source

Study of MEPDG Sensitivity Using Nonparametric Regression Procedures

Journal of Computing in Civil Engineering, 2014
AbstractBecause the new Mechanistic-Empirical Pavement Design Guide (MEPDG) includes numerous inputs, a sensitivity analysis using the Monte Carlo approach is not practical because it requires thousands of MEPDG runs. Instead, nonparametric regression procedures can be very useful to perform MEPDG sensitivity analysis.
Rafiqul A. Tarefder, Nasrin Sumee, Curtis Storlie   +2 more
openaire   +1 more source

Validating MEPDG with Tennessee Pavement Performance Data

Journal of Transportation Engineering, 2013
To implement the Mechanistic-Empirical Pavement Design Guide (MEPDG) developed by AASHTO for pavement construction and rehabilitation, it is necessary to evaluate its performance prediction models using actual pavement performance data, material properties, traffic information, and environmental factors.
Changjun Zhou, Baoshan Huang, Xiang Shu, Qiao Dong   +3 more
openaire   +1 more source