Wave calibration in numerical wavetanks using AI methods

Charles Gillan, Pal Schmitt, Ciaran Finnegan

Research output: Contribution to conferencePaper

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Abstract

Analytical solutions for numerical wavetanks are limited presently to a simple bathymetry and third
order accuracy. Furthermore, tanks are generally characterised using linear transfer functions to relate
the wavemaker forcing amplitude to wave elevation at a probe located in the wavetank. This paper
reports on a numerical wavetank implemented using the OpenFOAM software package. The aim of
the research is to train neural networks to represent non-linear transfer functions mapping a desired
wave surface-elevation time-trace at a probe to the wavemaker input required to create it.
Original languageEnglish
Publication statusPublished - 03 Jun 2021
Event9th Conference on Computational Methods in Marine Engineering - Edinburgh, Edinburgh, United Kingdom
Duration: 02 Jun 202104 Jun 2021
Conference number: 9th
https://congress.cimne.com/marine2021/frontal/Program.asp

Conference

Conference9th Conference on Computational Methods in Marine Engineering
Abbreviated titleMARINE2021
CountryUnited Kingdom
CityEdinburgh
Period02/06/202104/06/2021
Internet address

Keywords

  • computational fluid dynamics; neural networks; machine learning, OpenFOAM; tank transfer function

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