RNN-based pavement moduli prediction for flexible pavement design enhancement-Reference-Cited by-同舟云学术

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RNN-based pavement moduli prediction for flexible pavement design enhancement

Published:2024-07 Issue: Volume:20 Page:e02811
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Al-Qaili Abdulraaof H.,Al-Mansour Abdullah I.,Al-Solieman Hamad,AlSharabi Khalil

Funder

King Saud University

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference28 articles.

1. A comprehensive field and laboratory test programme and electronic database of pavement material properties for MEPDG;Ng;Int. J. Pavement Eng.,2019

2. Enhancing MEPDG distress models prediction for Saudi Arabia by local calibration;Al-Qaili;Road. Mater. Pavement Des.,2022

3. Predicting flexible pavement distress and IRI considering subgrade resilient modulus of fine-grained soils using MEPDG;Islam;Mater. (Basel),2023

4. Systematic back-calculation protocol and prediction of resilient modulus for MEPDG;Ng;Int. J. Pavement Eng.,2018

5. Calibration of MEPDG permanent deformation models using Hamburg wheel rut tester and field data;Abdelfattah;Int. J. Pavement Eng.,2022

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1. Driving analysis and prediction of COD based on frequency division;2024-08-05

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