Structural Health Monitoring (SHM) is a vital field in civil, aerospace, and mechanical engineering, focusing on the continuous assessment of the health and functionality of structures. With the increasing complexity and aging of infrastructure worldwide, SHM has gained significant attention for its ability to ensure structural safety, enhance operational performance, and reduce maintenance costs.Whether you are a researcher, engineer, student, or policymaker, this book offers a valuable resource for understanding how AI is reshaping the future of structural health monitoring. By harnessing the power of intelligent systems, we can build infrastructure that not only withstands the test of time but also actively communicates its condition, anticipates its needs, and ensures the safety and sustainability of our built environment. The journey ahead is both challenging and promising, and the integration of AI into SHM marks a critical step toward smarter, safer, and more resilient infrastructure worldwide.
Structural Health Monitoring (SHM) is a vital field in civil, aerospace, and mechanical engineering, focusing on the continuous assessment of the health and functionality of structures. With the increasing complexity and aging of infrastructure worldwide, SHM has gained significant attention for its ability to ensure structural safety, enhance operational performance, and reduce maintenance costs.Whether you are a researcher, engineer, student, or policymaker, this book offers a valuable resource for understanding how AI is reshaping the future of structural health monitoring. By harnessing the power of intelligent systems, we can build infrastructure that not only withstands the test of time but also actively communicates its condition, anticipates its needs, and ensures the safety and sustainability of our built environment. The journey ahead is both challenging and promising, and the integration of AI into SHM marks a critical step toward smarter, safer, and more resilient infrastructure worldwide.
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