Physical modelling of blue mussel dropper lines for the development of surrogates and hydrodynamic coefficients

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Landmann, J.; Ongsiek, T.; Goseberg, N.; Heasman, K.; Buck, B.H. et al.: Physical modelling of blue mussel dropper lines for the development of surrogates and hydrodynamic coefficients. In: Journal of Marine Science and Engineering 7 (2019), Nr. 3, 65. DOI: https://doi.org/10.3390/jmse7030065

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Sum total of downloads: 93




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Abstract: 
In this work, laboratory tests with live bivalves as well as the conceptual design of additively manufactured surrogate models are presented. The overall task of this work is to develop a surrogate best fitting to the live mussels tested in accordance to the identified surface descriptor, i.e., the Abbott-Firestone Curve, and to the hydrodynamic behaviour by means of drag and inertia coefficients. To date, very few investigations have focused on loads from currents as well as waves. Therefore, tests with a towing carriage were carried out in a wave flume. A custom-made rack using mounting clamps was built to facilitate carriage-run tests with minimal delays. Blue mussels (Mytilus edulis) extracted from a site in Germany, which were kept in aerated seawater to ensure their survival for the test duration, were used. A set of preliminary results showed drag and inertia coefficients C D and C M ranging from 1.16-3.03 and 0.25 to 1.25. To derive geometrical models of the mussel dropper lines, 3-D point clouds were prepared by means of 3-D laser scanning to obtain a realistic surface model. Centered on the 3-D point cloud, a suitable descriptor for the mass distribution over the surface was identified and three 3-D printed surrogates of the blue mussel were developed for further testing. These were evaluated regarding their fit to the original 3-D point cloud of the live blue mussels via the chosen surface descriptor. © 2019 by the authors.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 54 58.06%
2 image of flag of United States United States 17 18.28%
3 image of flag of China China 9 9.68%
4 image of flag of No geo information available No geo information available 2 2.15%
5 image of flag of Denmark Denmark 2 2.15%
6 image of flag of Tanzania, United Republic of Tanzania, United Republic of 1 1.08%
7 image of flag of Taiwan Taiwan 1 1.08%
8 image of flag of Netherlands Netherlands 1 1.08%
9 image of flag of Kazakhstan Kazakhstan 1 1.08%
10 image of flag of Italy Italy 1 1.08%
    other countries 4 4.30%

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