Skip to main navigation menu Skip to main content Skip to site footer
Español (España) | English
Editorial
Revistas / Journals
Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home
Issue
Current Issue Previous Issues Thematic issues
About
About the Journal Editorial Team Privacy Statement Contact
Author Guidelines
Guidelines for authors Peer Review Process Open Access Policy and Copyright Digital preservation policy Ethical aspects Anti-plagiarism policy Crossmark policy page
Indexing
×
Español (España) | English
Editorial

Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home

Current Issue Previous Issues Thematic issues

About the Journal Editorial Team Privacy Statement Contact

Guidelines for authors Peer Review Process Open Access Policy and Copyright Digital preservation policy Ethical aspects Anti-plagiarism policy Crossmark policy page
Indexing
Original
Published: 2024-06-01
DOI: https://doi.org/10.56294/sctconf2024822

Finite Element Modeling to Predicting Rutting in Flexible Pavements under Overloading

By
Zainab M. Aljaleel ,
Zainab M. Aljaleel

Civil Engineering Department/ College of Engineering/ University of Babylon/ Babylon/ Iraq

Search this author on:

PubMed | Google Scholar
Nahla Y. Ahmed ,
Nahla Y. Ahmed

Civil Engineering Department/ College of Engineering/ University of Babylon/ Babylon/ Iraq

Search this author on:

PubMed | Google Scholar
Yahya K. Atemimi ,
Yahya K. Atemimi

Civil Engineering Department/ College of Engineering/ University of Babylon/ Babylon/ Iraq

Search this author on:

PubMed | Google Scholar

Abstract

Road infrastructure is seriously threatened by heavy vehicle overloading, causing substantial damage, particularly rutting. This study uses advanced finite element analysis (FEA) techniques to improve pavement performance prediction. Six models were created using the ABAQUS/CAE program to evaluate the rutting performance of flexible pavement under overloaded conditions. These models simulated the existing pavement design and a proposed design, each subjected to three axle load configurations: single axle-single tire, tandem axle-dual tire, and tridem axle-dual tire. The research includes conducting surveys on traffic volume and axle load, to precisely evaluate the current traffic situation and identify problems associated with overloading. Core extractions enabled a thorough comparison of the existing pavement's thickness, density, and material characteristics with the proposed design. Based on these findings, a new design for a flexible pavement was developed, focusing on enhancing its ability to withstand rutting. The analysis determines that the existing pavement cannot withstand overloading vehicles, necessitating a 6.67% increase in the thickness of the surface, a 37.5% increase in the thickness of the binder, a 50% increase in the thickness of the base, and a 32% increase in the thickness of the subbase layers. Significantly, these modifications and improvements to material qualities were discovered to effectively decrease rut depth, an important factor in the durability and performance of pavement.

Keywords:

Axle load,
Finite element method,
Rut depth,
Core extraction,
Overloading,
Abaqus software program,

How to Cite

1.
Aljaleel ZM, Ahmed NY, Atemimi YK. Finite Element Modeling to Predicting Rutting in Flexible Pavements under Overloading. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2024 Jun. 1 [cited 2024 Jul. 27];3:822. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/822

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

Vol. 3 (2024)
See full issue

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.