AI Applications in Health Monitoring of Concrete Structures

Author(s)	Prof. Krishna Murari, Dr. Rekha Tiwary, Prof. Pranshu sinha, Prof. Akansha Kaur Dhanjal
Country	India
Abstract	Concrete structures, such as bridges and buildings, are critical infrastructure components that require continuous monitoring to ensure safety and longevity. Structural Health Monitoring (SHM) has evolved significantly with the integration of Artificial Intelligence (AI), enabling automated detection of damages like cracks, corrosion, and vibrations. This paper reviews the applications of AI, particularly Machine Learning (ML) and Deep Learning (DL), in SHM for concrete structures. Key methodologies, including Convolutional Neural Networks (CNNs) for crack detection and vibration-based analysis, are discussed alongside their benefits, challenges, and future directions. Drawing from recent studies, AI enhances precision, reduces manual inspections, and supports predictive maintenance, contributing to sustainable infrastructure management.
Keywords	Artificial Intelligence , Neural Network, Deep learning
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-06
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.62721

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