eprintid: 1307
rev_number: 7
eprint_status: archive
userid: 7
dir: disk0/00/00/13/07
datestamp: 2025-01-09 21:24:30
lastmod: 2025-01-09 21:24:30
status_changed: 2025-01-09 21:24:30
type: article
metadata_visibility: show
creators_name: Firoozi, Ali Akbar
creators_name: Firoozi, Ali Asghar
title: Smart Geotechnics: Enhancing Infrastructure Resilience with IoT and AI
ispublished: pub
subjects: TA
divisions: j6
full_text_status: public
keywords: Smart Geotechnics, IoT, AI, Infrastructure Monitoring, Predictive Maintenance, Resilient Infrastructure.
abstract: The integration of the Internet of Things (IoT) and Artificial Intelligence (AI) presents transformative opportunities
for geotechnical engineering, fundamentally reshaping the monitoring and maintenance of infrastructure. This paper
delves into the synergistic application of IoT sensors and AI algorithms to facilitate real-time monitoring, predictive
maintenance, and risk management, significantly enhancing the resilience and sustainability of critical infrastructure
such as bridges, tunnels, and foundations. Through a rigorous examination of theoretical frameworks, a review of
pertinent literature, and detailed case studies, the study underscores the substantial benefits of these technologies,
including improved operational efficiency, enhanced safety, and reduced environmental impact. Additionally, it
addresses the predominant challenges of data security, system integration, and scalability, and suggests future
research directions and policy considerations to overcome these barriers. The paper advocates for the broader
adoption of smart geotechnics, highlighting its crucial role in advancing sustainable and resilient infrastructure in
the era of smart cities.
date: 2024-09-15
publication: Journal of Civil Engineering and Urbanism
volume: 14
number: 1
publisher: Scienceline Publication
pagerange: 89-101
id_number: 10.54203/jceu.2024.7
refereed: TRUE
issn: 2252-0430
official_url: http://dx.doi.org/10.54203/jceu.2024.7
j_index: notindex
citation:    (2024)     Smart Geotechnics: Enhancing Infrastructure Resilience with IoT and AI.   Journal of Civil Engineering and Urbanism.  pp. 89-101.  ISSN 2252-0430   
document_url: http://eprints.science-line.com/id/eprint/1307/1/JCEU14%282%2989-101%2C2024.pdf