| Issue |
MATEC Web Conf.
Volume 211, 2018
The 14th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC XIV)
|
|
|---|---|---|
| Article Number | 11002 | |
| Number of page(s) | 6 | |
| Section | ML: Vibration of Solids and Structures under Moving Loads | |
| DOI | https://doi.org/10.1051/matecconf/201821111002 | |
| Published online | 10 October 2018 | |
The detection of wave slamming from vibration measurements on a polar supply and research vessel
Sound and Vibration Research Group, Department of Mechanical and Mechatronic Engineering, Stellenbosch University,
South Africa.
* e-mail: annieb@sun.ac.za
The SA Agulhas II is a polar supply and research vessel, which operates in the stormy Southern ocean and icy Antarctic waters. She is predisposed to problematic stern slamming. Twelve accelerometer channels from a full-scale vibration measurement system were used to capture measurements of wave incidence on the main deck close to the water line. An automated slamming detection and classification algorithm is proposed to extract slamming incidents from expansive full-scale data. This method is based on image processing of scalograms which are produced by continuous transforms, using the Morlet wavelet. Slams are classified based on the time of incidence. It is shown that high crest factor stern slamming occurs as often as twice per minute.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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