Abstract: Structural health monitoring is putting a damage detection and characterization strategy into practice for engineering structures. Monitoring changes to the material and geometric qualities of engineering structures entails observation and analysis of the system using samples of response data. Operational assessment, data collecting, normalization, cleaning, feature extraction, data condensation, and statistical modal creation are all part of structural health monitoring. Important structures must be frequently inspected and shielded from serious damage if their lifespan is to be extended. This study's goal is to investigate various techniques and approaches for monitoring structural health and how they are used in an Indian context. This study reviews the literature regarding several structural health monitoring techniques and their applications.

Keywords: Structural Health Monitoring, Damage, Inspection, Artificial Intelligence, Model Development, Sensor

| DOI: 10.17148/IARJSET.2023.10450