e-ISSN 2231-8542
ISSN 1511-3701

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System Identification of Helical Strakes Suppressed Vortex-induced Vibration for Flexible Pipes

Ching Sheng Ooi, Meng Hee Lim, Kee Quen Lee, Hooi Siang Kang and Mohd Salman Leong

Pertanika Journal of Tropical Agricultural Science, Volume 28, Issue 2, April 2020

Keywords: Genetic algorithm, helical strakes, recursive least squares, vortex-induced vibration

Published on: 15 April 2020

Previous studies have indicated that the pipe-surface-mounted helical strakes effectively reduce vortex-induced vibration (VIV) under a uniform flow application, particularly during the lock-in region. Since VIV experiments are time-consuming, observation is generated with an interval helical strakes parameter in pitch and height to lessen tedious procedures and repetitive post-processing analyses. The aforementioned result subset is insufficient for helical strakes design optimisation because the trade-off between the helical strakes dimension, lock-in region and flow velocity are non-trivial. Thus, a parametric model based on an improved recursive least squares (RLS) parameter estimation technique is proposed to define the statistical relationship between input, or strakes and pipe dimension, and output, or VIV amplitude ratio. As results suggested, revised RLS estimated VIV model demonstrated an optimal prediction with the highest coefficient of determination and lowest Integral Absolute Error. The feasibility of VIV parametric model was validated by embed into Genetic Algorithm (GA) as the fitness function to acquire a desirable helical strakes dimension with minimum VIV amplitude. The rapid generation of optimal helical strakes dimension which returned the highest VIV suppression implied a superior simulation method compared to the experimental outcome.

ISSN 1511-3701

e-ISSN 2231-8542

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