Smart Geotechnics: Enhancing Infrastructure Resilience with IoT and AI

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.