Incorporating 3D printing and machine learning to revolutionize transportation infrastructure: Building tomorrow
Ansam SAWALHA, Ayah A. ALKHAWALDEH, Amani SAWALHA, Mohammad A. ALKHAWALDEH, Mohammad Ali KHASAWNEH
Abstract. In recent years, three-dimensional (3D) printing and machine learning (ML) have evolved in various industries, including but not limited to architecture, construction, and buildings. 3D printing, also known as additive manufacturing (AM), is a tool used for creating three-dimensional structures by layering materials using digital designs through machine learning based on pre-identified parameters and the desired output. However, AM is still relatively unexplored in infrastructure projects. By using AM’s new capabilities, researchers have gained unprecedented access to new design possibilities and operational flexibility. However, applications related to transportation infrastructure have not mirrored this revolutionary improvement. Thus, this article provides a comprehensive review of AM innovations and their abilities in transportation infrastructure as a potential future reference to support the Ministry of Transport (MoT) and other agencies continuous rehabilitation of tunnels, bridges, and transportation structures through more efficient techniques. In conclusion, by integrating 3D printing and ML into transportation infrastructure, it is feasible to create intelligent (smart) systems that adapt to changing conditions in real time, enhancing overall efficiency and mitigating traffic congestion. In the future, it is expected to change the current transportation infrastructure to a fully intelligent transportation system, and this goal is in line with the Sustainable Development Goals (SDGs).
Keywords
3D Printing, Additive Manufacturing, Transportation Infrastructure, Machine Learning
Published online 2/25/2025, 10 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Ansam SAWALHA, Ayah A. ALKHAWALDEH, Amani SAWALHA, Mohammad A. ALKHAWALDEH, Mohammad Ali KHASAWNEH, Incorporating 3D printing and machine learning to revolutionize transportation infrastructure: Building tomorrow, Materials Research Proceedings, Vol. 48, pp 968-977, 2025
DOI: https://doi.org/10.21741/9781644903414-105
The article was published as article 105 of the book Civil and Environmental Engineering for Resilient, Smart and Sustainable Solutions
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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