Improved Multi-layer Analysis of Pavement Response Using Neural Networks to Optimize Numerical Integration

Abed, Ahmed; Thom, Nick; Campos-Guereta, Ivan; Airey, Gordon

doi:10.1007/s42947-022-00255-x

Improved Multi-layer Analysis of Pavement Response Using Neural Networks to Optimize Numerical Integration

Abed, Ahmed; Thom, Nick; Campos-Guereta, Ivan; Airey, Gordon

Authors

Ahmed Abed

NICK THOM NICHOLAS.THOM@NOTTINGHAM.AC.UK
Assistant Professor

Ivan Campos-Guereta

GORDON AIREY GORDON.AIREY@NOTTINGHAM.AC.UK
Professor of Pavement Engineering Materials

Abstract

This paper presents a new accurate method to compute the mechanical response of pavement structures using an Artificial Neural Network (ANN) model coupled with Multi-Layer Elastic Analysis (MLEA). The ANN model is used to improve the numerical integration of the response function used in the MLEA method. It requires four inputs: total pavement thickness, the diameter of the contact area, radial distance, and depth of the response point; and it was trained on one million hypothetical pavement structures. The developed method has been validated by a comparative analysis against boundary conditions, finite element analysis, and available MLEA solutions using various hypothetical pavement structures. The results demonstrate that the developed solution gives excellent response in the vicinity of the pavement surface together with a significant improvement in computational efficiency.

Citation

Abed, A., Thom, N., Campos-Guereta, I., & Airey, G. (2024). Improved Multi-layer Analysis of Pavement Response Using Neural Networks to Optimize Numerical Integration. International Journal of Pavement Engineering, 17(3), 549-562. https://doi.org/10.1007/s42947-022-00255-x

Journal Article Type	Article
Acceptance Date	Nov 9, 2022
Online Publication Date	Dec 2, 2022
Publication Date	2024-05
Deposit Date	Jun 11, 2024
Publicly Available Date	Jun 21, 2024
Journal	International Journal of Pavement Research and Technology
Print ISSN	1029-8436
Electronic ISSN	1477-268X
Publisher	Routledge
Peer Reviewed	Peer Reviewed
Volume	17
Issue	3
Pages	549-562
DOI	https://doi.org/10.1007/s42947-022-00255-x
Keywords	Artificial neural network, Multi-layer elastic analysis, Pavement response, Numerical integration
Public URL	https://nottingham-repository.worktribe.com/output/35141358
Publisher URL	https://link.springer.com/article/10.1007/s42947-022-00255-x

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