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Evaluation of Vision-Based Measurements for Shake-Table Testing of Nonstructural Components

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AbstractDuring an earthquake, freestanding equipment and contents in a building may experience large complex 3D motion. Depending on the geometry, mass distribution, and support mechanism (e.g., wheels, casters, legs) of… Click to show full abstract

AbstractDuring an earthquake, freestanding equipment and contents in a building may experience large complex 3D motion. Depending on the geometry, mass distribution, and support mechanism (e.g., wheels, casters, legs) of the object, this motion may include rolling, sliding, twisting, and rocking—potentially resulting in overturning or impact with building occupants, neighboring walls or other objects. Measuring this complex motion by traditional, contact-type displacement sensors is challenging. Owing to recent advances in video capture sensors and image processing techniques, vision-based motion tracking and measurement have been introduced as a practical, economical, and fairly accurate measuring method. This paper presents a procedure utilized to evaluate the accuracy of a consumer-grade camera for the purpose of measuring the motion of a piece of medical equipment during shake-table testing. The fixed-focal length camera considered in this study can capture video recordings with different resolution a...

Keywords: motion; vision based; evaluation vision; table testing; shake table

Journal Title: Journal of Computing in Civil Engineering
Year Published: 2017

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