The Proceedings of the Dynamics & Design Conference
Online ISSN : 2424-2993
2018
Session ID : 224
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Vibration control for high-rise building with AMD using image processing technology
*Tatsuya ITOYasutaka TAGAWAToshikazu Iguchi
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Abstract

Japan belonging to the circum-Pacific orogeny has suffered tremendous damages from earthquakes. Vibration control for buildings has been developed to improve strength of structures and prevent damages from earthquakes. Active Mass Damper (AMD) has been used as a vibration control device for buildings. AMD generally consists of acceleration sensor, mass, actuator and controller and is installed at the top of the building. When vibration of a building is detected by an acceleration sensor, AMD generates force against the building's vibration and counteracts the vibration. However, the acceleration sensor has a disadvantage that it cannot accurately detect low frequency vibration. In the center of city skyscrapers are increasing, which have a low natural frequency. Therefore, using an acceleration sensor for vibration control of a skyscraper by AMD is a factor that degrades the performance of AMD. In this study, we propose to detect building's vibration by image processing technology in order to improve the performance of AMD. A camera is installed in the building and takes a picture of the landscape. When the building vibrates, the landscape in the image moves. The vibration of the building itself is calculated by the image processing technology using the movement. This method can accurately detect low frequency vibration while it is difficult to detect high frequency vibration since it acquires the displacement information of the building. In this paper, it shows the performance difference by detection of acceleration sensor and image processing technology. We conducted experiments in which buildings are reproduced by simulation and building's vibrations are detected by actual devices. We showed that the proposed method can further reduce the vibration by 11.9% than the acceleration sensor.

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© 2018 The Japan Society of Mechanical Engineers
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