Health Monitoring In Civil Engineering

Abstract

Health monitoring in civil engineering is an innovative approach to maintaining and assessing the integrity and performance of civil infrastructure. It involves the use of sensors, data acquisition systems, and analytical tools to evaluate the condition of structures such as bridges, buildings, tunnels, and dams over time. The increasing demand for sustainable and resilient infrastructure necessitates advanced monitoring systems that can provide real-time insights and early warnings for potential failures. A mixed-methods approach is adopted to evaluate real-life case studies, integrating quantitative sensor data and qualitative engineering assessments. Results highlight the effectiveness of health monitoring systems in detecting structural anomalies at early stages and facilitating preventive maintenance. Key findings show that health monitoring not only enhances safety but also plays a crucial role in asset management and urban planning. Furthermore, the study emphasizes the integration of SHM with emerging technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing, which is reshaping how data is collected, processed, and utilized. The paper concludes by recommending the broader adoption of SHM technologies and suggesting future research directions in AI-based predictive maintenance and smart infrastructure systems.