Volume 9: Rodney Eatock Taylor Honoring Symposium on Marine and Offshore Hydrodynamics; Takeshi Kinoshita Honoring Symposium On 2019
DOI: 10.1115/omae2019-95172
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Application of Phase Decomposition to the Analysis of Random Time Series From Wave Basin Tests

Abstract: Many ocean engineering problems involve bound harmonics which are slaved to some underlying assumed close to linear time series. When analyzing signals we often want to remove the bound harmonics so as to "linearise" the data or to extract individual bound harmonic components so that they may be studied. For even moderately broadbanded systems filtering in the frequency domain is not sufficient to separate components as they overlap in frequency. One way to overcome this difficulty is to use input signals with… Show more

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Cited by 6 publications
(6 citation statements)
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“…The above studies utilise short deterministic wave groups. More recently, the method has been applied to random time series (Adcock et al 2019;Zheng et al 2020;Kristoffersen et al 2021), which we also pursue here.…”
Section: Identifying Nonlinear Resonant Responsesmentioning
confidence: 99%
“…The above studies utilise short deterministic wave groups. More recently, the method has been applied to random time series (Adcock et al 2019;Zheng et al 2020;Kristoffersen et al 2021), which we also pursue here.…”
Section: Identifying Nonlinear Resonant Responsesmentioning
confidence: 99%
“…This method requires controlled phase shifted repeats of the same experiment (φ, φ + π/2, φ + π , φ + π 3/2) which are combined to extract harmonics. This approach works extremely well for wave groups (Zhao et al 2017), and random sea-states (Kristoffersen et al 2021;Pierella et al 2021) but has been shown to be less reliable in certain conditions (Adcock et al 2019), owing to wave breaking and reflections moving components out of alignment. In the present work, we use the technique described in Zhao et al (2018a, b) to generate average time series of extreme events with different phase shifts, for random wave experiments which were not repeated with four phase shifts.…”
Section: Extraction Of Harmonic Components From Random Signalmentioning
confidence: 99%
“…To investigate the effect of the current on the non-linearity of the sea states and forces, we use the harmonic separation method first presented by Walker et al (2004), extended to four harmonics by Fitzgerald et al (2014) and applied to random sea states by Zhao et al (2018), Adcock et al (2019) and Sarkar et al (2021). According to the Stokes perturbation expansion in the wave slope parameter , the free surface elevation and inline force of a regular wave can be written as (16) where is the linear wave amplitude, the coefficients represents the first-to-higher-harmonic wave-to-wave transfer functions and represents the wave-to-force transfer functions.…”
Section: The Higher-harmonic Content Of the Waves And Their Measured ...mentioning
confidence: 99%
“…,Adcock et al (2019) andSarkar et al (2021) among others. After obtaining the signals 0 , 90 , 180 and 270 equations (17) to (20) were used to calculate the first to fourth harmonics of the wave averaged signals.…”
mentioning
confidence: 91%