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Extraction of mode shapes of beam-like structures from the dynamic response of a moving mass
- Source :
- Acta Mechanica Sinica. 35:664-673
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- This paper proposes an approach to extract the mode shapes of beam-like structures from the dynamic response of a moving mass. When a mass passes through a beam containing several artificially installed humps, its vertical acceleration can be recorded. After applying fast Fourier transformation to the dynamic response, one can extract the mode shapes of the beam. The surface roughness was neglected compared to the humps and its adverse effect on the extraction was reduced. The passing mass performs as both “exciter” and “massage receiver”; therefore, this method requires only one single accelerometer, making it more convenient and time saving in practice. Moreover, to estimate the possible error in extracting mode shapes, a wavenumber domain filtering technique is used to reconstruct the general profiles of mode shapes. Experimental validation of this approach in laboratory scale was conducted. The experimental results show that the proposed method performs well in extracting lower order mode shapes. It should also be noted that the passing mass can not have a very high velocity (e.g. 80 mm/s), otherwise the mass may jump and separate from the beam, and the proposed method may fail to identify mode shapes.
- Subjects :
- Physics
Civil engineering [Engineering]
Mechanical Engineering
Acoustics
Fast Fourier transform
Computational Mechanics
Mode Shape
02 engineering and technology
Beam-like Structures
Accelerometer
01 natural sciences
010305 fluids & plasmas
020401 chemical engineering
Normal mode
0103 physical sciences
Exciter
Surface roughness
Jump
Wavenumber
0204 chemical engineering
Beam (structure)
Subjects
Details
- ISSN :
- 16143116 and 05677718
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Acta Mechanica Sinica
- Accession number :
- edsair.doi.dedup.....ce50211cbd63beb8f7246122376c1f7a
- Full Text :
- https://doi.org/10.1007/s10409-018-0831-7