Literature DB >> 25583861

Dynamic response mitigation of floating wind turbine platforms using tuned liquid column dampers.

V Jaksic1, C S Wright2, J Murphy2, C Afeef3, S F Ali4, D P Mandic5, V Pakrashi6.   

Abstract

In this paper, we experimentally study and compare the effects of three combinations of multiple tuned liquid column dampers (MTLCDs) on the dynamic performance of a model floating tension-leg platform (TLP) structure in a wave basin. The structural stability and safety of the floating structure during operation and maintenance is of concern for the performance of a renewable energy device that it might be supporting. The dynamic responses of the structure should thus be limited for these renewable energy devices to perform as intended. This issue is particularly important during the operation of a TLP in extreme weather conditions. Tuned liquid column dampers (TLCDs) can use the power of sloshing water to reduce surge motions of a floating TLP exposed to wind and waves. This paper demonstrates the potential of MTLCDs in reducing dynamic responses of a scaled TLP model through an experimental study. The potential of using output-only statistical markers for monitoring changes in structural conditions is also investigated through the application of a delay vector variance (DVV) marker for different conditions of control for the experiments.
© 2015 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  offshore wind energy; structural dynamics; surge motions; tension-leg platform; tuned liquid column damper; wave-inducedzzm321990vibrations

Year:  2015        PMID: 25583861     DOI: 10.1098/rsta.2014.0079

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  New perspectives in offshore wind energy.

Authors:  Giuseppe Failla; Felice Arena
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-02-28       Impact factor: 4.226

2.  A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems.

Authors:  V Jaksic; D P Mandic; K Ryan; B Basu; V Pakrashi
Journal:  R Soc Open Sci       Date:  2016-01-06       Impact factor: 2.963

  2 in total

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