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A brute-force spectral approach for wave estimation using measured vessel motions

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Authors:
  • Nielsen, Ulrik D. ;
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    Orcid logo0000-0001-7470-2003
    Department of Mechanical Engineering, Technical University of Denmark
  • Brodtkorb, Astrid H. ;
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    Norwegian University of Science and Technology
  • Sørensen, Asgeir J.
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    Norwegian University of Science and Technology
DOI:
10.1016/j.marstruc.2018.03.011
Abstract:
The article introduces a spectral procedure for sea state estimation based on measurements of motion responses of a ship in a short-crested seaway. The procedure relies fundamentally on the wave buoy analogy, but the wave spectrum estimate is obtained in a direct - brute-force - approach, and the procedure is simple in its mathematical formulation. The actual formulation is extending another recent work by including vessel advance speed and short-crested seas. Due to its simplicity, the procedure is computationally efficient, providing wave spectrum estimates in the order of a few seconds, and the estimation procedure will therefore be appealing to applications related to realtime, onboard control and decision support systems for safe and efficient marine operations. The procedure's performance is evaluated by use of numerical simulation of motion measurements, and it is shown that accurate wave spectrum estimates can be obtained for all wave directions in short-crested waves, taking the wave system to be composed by both wind generated sea and swell. Furthermore, the procedure is tested using full-scale motion data obtained from sea trials. Good wave estimations are achieved as compared to corresponding results from a free-floating (classical) wave buoy.
Type:
Journal article
Language:
English
Published in:
Marine Structures, 2018, Vol 60, p. 101-121
Keywords:
Doppler shift; Sea trials data; Spectrum transformation; Wave buoy analogy; Wave spectrum estimation; Wave-induced vessel responses
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Submission year:
2018
Scientific Level:
Scientific
ID:
2398575616

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