Nonlinear Roll Damping Identification Based on Onboard Ship Response Measurements

Tomoki Takami, Ulrik Dam Nielsen, Jørgen Juncher Jensen, Sadaoki Matsui

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Accurate estimation of the roll damping of a ship is important for reliable prediction of roll motions. In particular, characterization and identification of parametric roll incidence and other events associated with large roll angles require
detailed knowledge about the damping terms. In the present paper, an approach to identify the stability parameters, i.e. linear and nonlinear roll damping coefficients in conjunction with the natural roll frequency, based on onboard response
measurements is proposed. The method starts by estimating the encountered wave profile using wave-induced response measurements other than roll, e.g. heave or pitch motions. The estimated wave profile is then fed into a nonlinear  differential equation for computing nonlinear rolling, and then the stability parameters that best reproduce the measured roll motion are identified by optimization. In turn, an onboard identification can be achieved while collecting the response
measurements simultaneously. A numerical investigation using artificially generated response measurements in beam seas is carried out, and promising results have been obtained in a perspective of full-scale applications. Finally, a preliminary
experimental investigation using model-test data confirms the effectiveness of the present approach
Original languageEnglish
Title of host publicationProceedings of 10th PAAMES and AMEC 2023
Number of pages10
Publication statusAccepted/In press - 2024
Event10th PAAMES / AMEC 2023 - Kyoto Terrsa , Kyoto , Japan
Duration: 18 Oct 202320 Oct 2023

Conference

Conference10th PAAMES / AMEC 2023
LocationKyoto Terrsa
Country/TerritoryJapan
CityKyoto
Period18/10/202320/10/2023

Keywords

  • Roll motion
  • Onboard measurements
  • Roll damping
  • Stability Parameters
  • Wave estimation

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