Structural Health Monitoring (SHM) is a vital process for ensuring the safety and longevity of structures such as bridges, buildings, and aircraft. It involves the continuous or periodic collection of data using sensors to detect damage or deterioration. SHM systems monitor parameters like stress, strain, vibration, and temperature to assess the integrity of structures. Advanced technologies, including wireless sensor networks and machine learning algorithms, enhance the ability to predict and diagnose issues before they become critical. By providing real-time information, SHM helps in timely maintenance, reducing the risk of catastrophic failures, and extending the service life of structures. This proactive approach not only enhances safety but also optimizes maintenance costs and resource allocation, making it an essential component in modern infrastructure management. This book traces the progress in the field of Structural Health Monitoring and highlights some of its key concepts and applications. The topics covered in this extensive book deal with the core subjects of SHM. It aims to serve as a resource guide for students and experts alike and contribute to the growth of the discipline.
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