Structural Seismic Vibration Analysis Using Multistep Wavelet Decomposition
By: Das, Aniruddha
.
Contributor(s): Chattopadhyay, Surajit.
Publisher: New York Springer 2022Edition: Vol, 103(6), Dec.Description: 2135–2143p.Subject(s): Electrical EngineeringOnline resources: Click here
In:
Journal of the institution of engineers (India): Series BSummary: Structural vibration is critical in designing buildings and foundations for equipment. Planning for a smart city demands effective monitoring of the effects of seismic vibrations that will be possible to implement from a remote end. This paper tries to monitor seismic vibration from the top of a structure using wavelet decompositions. At first, vibrational drifts are obtained and then processed through multistep decompositions. Various coefficients obtained have been analysed by their statistical nature. Studies have been made for both open and closed loops with active mass addition. The percentage change of vibrational effect has been compared with the percentage change of coefficients at different decomposition steps by their mean and standard deviations. Thus, the study ends with some valuable indices for vibration monitoring.
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2023-0050 |
Structural vibration is critical in designing buildings and foundations for equipment. Planning for a smart city demands effective monitoring of the effects of seismic vibrations that will be possible to implement from a remote end. This paper tries to monitor seismic vibration from the top of a structure using wavelet decompositions. At first, vibrational drifts are obtained and then processed through multistep decompositions. Various coefficients obtained have been analysed by their statistical nature. Studies have been made for both open and closed loops with active mass addition. The percentage change of vibrational effect has been compared with the percentage change of coefficients at different decomposition steps by their mean and standard deviations. Thus, the study ends with some valuable indices for vibration monitoring.
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