Literature DB >> 25583866

Dynamic response signatures of a scaled model platform for floating wind turbines in an ocean wave basin.

V Jaksic1, R O'Shea2, P Cahill3, J Murphy4, D P Mandic5, V Pakrashi6.   

Abstract

Understanding of dynamic behaviour of offshore wind floating substructures is extremely important in relation to design, operation, maintenance and management of floating wind farms. This paper presents assessment of nonlinear signatures of dynamic responses of a scaled tension-leg platform (TLP) in a wave tank exposed to different regular wave conditions and sea states characterized by the Bretschneider, the Pierson-Moskowitz and the JONSWAP spectra. Dynamic responses of the TLP were monitored at different locations using load cells, a camera-based motion recognition system and a laser Doppler vibrometer. The analysis of variability of the TLP responses and statistical quantification of their linearity or nonlinearity, as non-destructive means of structural monitoring from the output-only condition, remains a challenging problem. In this study, the delay vector variance (DVV) method is used to statistically study the degree of nonlinearity of measured response signals from a TLP. DVV is observed to create a marker estimating the degree to which a change in signal nonlinearity reflects real-time behaviour of the structure and also to establish the sensitivity of the instruments employed to these changes. The findings can be helpful in establishing monitoring strategies and control strategies for undesirable levels or types of dynamic response and can help to better estimate changes in system characteristics over the life cycle of the structure.
© 2015 The Author(s) Published by the Royal Society. All rights reserved.

Keywords:  delay vector variance; offshore wind energy; signal nonlinearity; structural dynamics; tension-leg platform

Year:  2015        PMID: 25583866      PMCID: PMC4290408          DOI: 10.1098/rsta.2014.0078

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


  5 in total

1.  Improved Surrogate Data for Nonlinearity Tests.

Authors: 
Journal:  Phys Rev Lett       Date:  1996-07-22       Impact factor: 9.161

2.  Indications of nonlinear structures in brain electrical activity.

Authors:  Temujin Gautama; Danilo P Mandic; Marc M Van Hulle
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-04-10

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Authors:  Rainer Hegger; Holger Kantz; Thomas Schreiber
Journal:  Chaos       Date:  1999-06       Impact factor: 3.642

4.  Signal nonlinearity in fMRI: a comparison between BOLD and MION.

Authors:  Temujin Gautama; Danilo P Mandic; Marc M Van Hulle
Journal:  IEEE Trans Med Imaging       Date:  2003-05       Impact factor: 10.048

5.  Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state.

Authors:  R G Andrzejak; K Lehnertz; F Mormann; C Rieke; P David; C E Elger
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-11-20
  5 in total
  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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