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This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM). It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice.Computer Vision for Structural Dynamics and Health Monitoring presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template matching techniques for tracking targets coordinate conversion methods for determining calibration factors to convert image pixel displacements to physical displacements sensing by tracking artificial targets vs. natural targets measurements in real time vs. by post-processing and field measurement error sources and mitigation methods. The book also features a wide range of tests conducted in both controlled laboratory and complex field environments in order to evaluate the sensor accuracy and demonstrate the unique features and merits of computer vision-based structural displacement measurement.Computer Vision for Structural Dynamics and Health Monitoring is ideal for graduate students, researchers, and practicing engineers who are interested in learning about this emerging sensor technology and advancing their applications in SHM and other engineering problems. It will also benefit those in civil and aerospace engineering, energy, and computer science.
Introduction
Development of a Computer Vision Sensor for Structural Displacement Measurement
Performance Evaluation Through Laboratory and Field Tests
Application in Modal Analysis, Model Updating, and Damage Detection
Application in Model Updating of Railway Bridges under Trainloads
Application in Simultaneously Identifying Structural Parameters and Excitation Forces
Application in Estimating Cable Force
Achievements, Challenges, and Opportunities