Revolutionizing U.S. Pavement Infrastructure: A pathway to sustainability and resilience through nanotechnology and AI Innovations
1 Department of Civil Engineering, University of KwaZulu-Natal, South Africa.
2 M+C Department, Mulalley & Co Ltd, London, United Kingdom.
3 Lagos State Building Control Agency (LASBCA), Lagos State Government, Alausa Secretariat, Ikeja, Nigeria.
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 11(02), 411–428.
Article DOI: 10.30574/wjaets.2024.11.2.0124
Publication history:
Received on 11 January 2024; revised on 11 April 2024; accepted on 13 April 2024
Abstract:
With a view to furthering sustainable and resilient infrastructure development, the paper starts a scholarly study of the application of nanotechnology and artificial intelligence (AI) in the framework of infrastructure projects in the U.S. Driven by the principle of interdisciplinary inquiry, the development of this study will seek to explain the merge of nanotechnology with AI to ensure the continuous innovations in the reliability, efficiency, and sustainability of infrastructural systems. This research critically applies a thematic analysis on scholarly literature and case studies to contextualize the themes that affirm the centrality of this integration – such as improvements on materials, predictive maintenance strategies and others.
The paper brings to fore the methodological terrain in which the use of thematic analysis is done to mine out insights from a large number of literature sources and case studies. However, this critical thinking is implemented at the junction of the threads of materials science, computer science, engineering, and sustainability, and synthesizes the discourse and ideas into a holistic outline that portrays innovation and hope. These revelations affirm and bring to the fore nanotechnologies which strengthen infrastructure components by leaps and bounds, all of which AI provides with forecasting power that aids in orchestrating strategic preventive maintenance programs.
In the conclusion of the study, the need for the education of various stakeholders coupled with a strong regulatory framework, and ethical issues considered in any attempt to integrate advanced technology is underlined. Based upon the findings, the paper recommended some policy-oriented measures that are meant to enhance innovation, boost collaboration, and adhere to ethical integrity in infrastructure development ventures. Looking at the present as a starting point, the research study creates a scenario of the far future where the funds of nanotechnology and AI converge into the period of unmatched sustainability, efficiency, and resilience of pavement infrastructure.
Keywords:
Nanotechnology; Artificial Intelligence; Infrastructure; Sustainability; Predictive Maintenance; Policy Recommendations.
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