International Journal of All Research Education & Scientific Methods

An ISO Certified Peer-Reviewed Journal

ISSN: 2455-6211

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Structural Health Monitoring: A Systematic Re...

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Structural Health Monitoring: A Systematic Re...

Structural Health Monitoring: A Systematic Review

Author Name : Dr Shivanand V Chanaveere

ABSTRACT Structural Health Monitoring (SHM) is a critical field of engineering focused on assessing the integrity and performance of structures over time. Utilizing a variety of sensing technologies, SHM systems monitor parameters such as stress, strain, temperature, vibration, and acoustic emissions in real-time. This continuous data acquisition allows for the early detection of potential damage, degradation, or failures in infrastructure like bridges, buildings, pipelines, and aircraft. By integrating SHM into the lifecycle of structures, engineers can proactively identify weak points, optimize maintenance schedules, and ensure the safety and longevity of the structure. The primary components of SHM include sensors, data acquisition systems, communication protocols, and advanced analytical tools like machine learning algorithms that help interpret vast amounts of data. Structural Health Monitoring (SHM) offers several key advantages that significantly enhance the safety, efficiency, and longevity of critical infrastructure. One of the primary benefits is early damage detection, allowing for timely interventions before structural issues become critical, thus reducing the risk of catastrophic failures. This proactive approach not only improves safety but also optimizes maintenance schedules, reducing the need for costly, unscheduled repairs. Additionally, SHM helps minimize operational downtime by allowing maintenance to be planned during non-critical periods, ensuring minimal disruption. The system also provides cost savings by reducing the frequency of manual inspections and extending the lifespan of structures through continuous, real-time monitoring. Furthermore, with the integration of advanced data analytics, SHM enables more accurate, data-driven decision-making, allowing engineers to assess structural health more effectively.