Time Series Linearization of Nonlinear Ship Structural Response using the NARX Model

In this paper, a method to linearize the nonlinear response of Ultra Large Container Ship(ULCS) with a bow flare is studied by using the Nonlinear Auto-Regressive with External inputs(NARX) model. Response linearization is closely related with the development of digital twin model of a ship, where ocean wave spectrum around sea-going vessel is trageted based upon linear theory between wave and ship response. Linearization scheme is based on the system identification approach using NARX(Nonlinear Autoregressive with External Input) method, which is popularly used for nonlinear dynamic system identification. For the acquisition of data, the nonlinear time domain analysis was performed, where the nonlinear Froude-Krylov force and restoring force and restoring force of the external forces acting on the vessel were considered. Obtained structural response, such as vertical bending moment at the midship section of the ship, was analyzed using NARX, and linear transfer function was extracted using harmonic probing method. To validate the accuracy of the proposed methodology, a structural response in irregular waves was computed in time domain and compared with the linearized responses obtained from transfer function and probability of peak sagging moment exceedance. In terms of the probability exceedance peak responses, the linearized responses turned out to be in good accordance with direct linear analysis results.

Authors

Publication Details

Journal
Journal of the Society of Naval Architects of Korea
Published
2025-04-09
DOI
https://doi.org/10.3744/snak.2025.62.2.115
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time Series Linearization of Nonlinear Ship Structural Response using the NARX Model

Hoon Cheol Park, Yooil Kim
Journal of the Society of Naval Architects of Korea
Fault Detection and Control Systems
article

Time Series Linearization of Nonlinear Ship Structural Response using the NARX Model

Hoon Cheol Park, Yooil Kim
article en

Abstract

In this paper, a method to linearize the nonlinear response of Ultra Large Container Ship(ULCS) with a bow flare is studied by using the Nonlinear Auto-Regressive with External inputs(NARX) model. Response linearization is closely related with the development of digital twin model of a ship, where ocean wave spectrum around sea-going vessel is trageted based upon linear theory between wave and ship response. Linearization scheme is based on the system identification approach using NARX(Nonlinear Autoregressive with External Input) method, which is popularly used for nonlinear dynamic system identification. For the acquisition of data, the nonlinear time domain analysis was performed, where the nonlinear Froude-Krylov force and restoring force and restoring force of the external forces acting on the vessel were considered. Obtained structural response, such as vertical bending moment at the midship section of the ship, was analyzed using NARX, and linear transfer function was extracted using harmonic probing method. To validate the accuracy of the proposed methodology, a structural response in irregular waves was computed in time domain and compared with the linearized responses obtained from transfer function and probability of peak sagging moment exceedance. In terms of the probability exceedance peak responses, the linearized responses turned out to be in good accordance with direct linear analysis results.

Journal of the Society of Naval Architects of KoreaVol. 62(2)
Openalex Percentile: Top 93%
Fault Detection and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.