Article, 2024

Onboard identification of stability parameters including nonlinear roll damping via phase-resolved wave estimation using measured ship responses

Mechanical Systems and Signal Processing, ISSN 0888-3270, Volume 210, 10.1016/j.ymssp.2024.111166

Contributors

Takami T. 0000-0002-1934-8205 (Corresponding author) [1] Dam Nielsen U. [2] Juncher Jensen J. [2] Maki A. [3] Matsui S. 0000-0001-6550-0063 [1] Komoriyama Y. [1]

Affiliations

  1. [1] National Maritime Research Institute
  2. [NORA names: Japan; Asia, East; OECD];
  3. [2] Technical University of Denmark
  4. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Osaka University
  6. [NORA names: Japan; Asia, East; OECD]

Abstract

Accurate estimation of the roll damping of a ship is important for reliable prediction of roll motions. In particular, characterization and prediction 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, pitch, and sway motions. The estimated wave profile is then fed into a physic-based nonlinear roll estimator, and then the stability parameters that best reproduce the measured roll motion are identified by optimization. In turn, in-situ identification can be achieved while simultaneously collecting the response measurements. A numerical investigation using synthetic response measurements is made first, then follows an experimental investigation using a scaled model ship. Good results have been obtained in both long-crested and short-crested irregular waves.

Keywords

Nonlinear Roll Damping Identification, Onboard Measurements, Ship Roll Motion, Short-crested Waves, Wave Reconstruction

Funders

  • Nippon Foundation

Data Provider: Elsevier