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Data-driven modeling of low-frequency hydrodynamic loads

Abstract

This paper presents a data-driven approach for estimating the linear and quadratic transfer functions relating incoming waves to hydrodynamic loads on floaters. The procedure relies on constructing a nonlinear auto-regressive (NARX) surrogate model for forecasting the hydrodynamic loads and a harmonic probing algorithm for extracting the transfer functions of the system. The implemented harmonic probing method is of numerical nature and avoids the use of computationally expensive symbolic coding tools. The method was verified against synthetic data generated from a potential-flow-based numerical model of the INO WINDMOOR 12 MW floater. The main advantage of NARX models is the fexibility of their structure, meaning that they do not presuppose that the nonlinearity of the hydrodynamic load is quadratic, as it is commonly done.
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Category

Academic article

Language

English

Author(s)

Affiliation

  • SINTEF Ocean / Skip og havkonstruksjoner
  • Aarhus University
  • Norwegian University of Science and Technology

Year

2024

Published in

Journal of Physics: Conference Series (JPCS)

ISSN

1742-6588

Volume

2875

View this publication at Norwegian Research Information Repository