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Article

Development of a Blended Time-Domain Program for Predicting the Motions of a Wave Energy Structure

1
Department of Ocean Engineering, Texas A&M University, College Station, TX 77840, USA
2
Department of Ocean Engineering, Indian Institute of Technology, Madras 600036, India
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2020, 8(1), 1; https://doi.org/10.3390/jmse8010001
Received: 4 November 2019 / Revised: 13 December 2019 / Accepted: 17 December 2019 / Published: 19 December 2019
(This article belongs to the Special Issue Nonlinear Numerical Modelling of Wave Energy Converters)
Traditional linear time-domain analysis is used widely for predicting the motions of floating structures. When it comes to a wave energy structure, which usually is subjected to larger relative (to their geometric dimensions) wave and motion amplitudes, the nonlinear effects become significant. This paper presents the development of an in-house blended time-domain program (SIMDYN). SIMDYN’s “blend” option improves the linear option by accounting for the nonlinearity of important external forces (e.g., Froude-Krylov). In addition, nonlinearity due to large body rotations (i.e., inertia forces) is addressed in motion predictions of wave energy structures. Forced motion analysis reveals the significance of these nonlinear effects. Finally, the model test correlations examine the simulation results from SIMDYN under the blended option, which has seldom been done for a wave energy structure. It turns out that the blended time-domain method has significant potential to improve the accuracy of motion predictions for a wave energy structure. View Full-Text
Keywords: blended time-domain method; nonlinear; model test correlation; wave energy structure; SIMDYN; equations of motion blended time-domain method; nonlinear; model test correlation; wave energy structure; SIMDYN; equations of motion
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MDPI and ACS Style

Wang, H.; Somayajula, A.; Falzarano, J.; Xie, Z. Development of a Blended Time-Domain Program for Predicting the Motions of a Wave Energy Structure. J. Mar. Sci. Eng. 2020, 8, 1. https://doi.org/10.3390/jmse8010001

AMA Style

Wang H, Somayajula A, Falzarano J, Xie Z. Development of a Blended Time-Domain Program for Predicting the Motions of a Wave Energy Structure. Journal of Marine Science and Engineering. 2020; 8(1):1. https://doi.org/10.3390/jmse8010001

Chicago/Turabian Style

Wang, Hao, Abhilash Somayajula, Jeffrey Falzarano, and Zhitian Xie. 2020. "Development of a Blended Time-Domain Program for Predicting the Motions of a Wave Energy Structure" Journal of Marine Science and Engineering 8, no. 1: 1. https://doi.org/10.3390/jmse8010001

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