Numerical investigation of added resistance of a container ship in short regular waves using unsteady RANS simulations

Accurately predicting the added resistance coefficient in short waves remains a challenge. This study aims to investigate the added resistance of a container ship in regular short-head waves at moderate Froude numbers through unsteady RANS simulations. A body-fitted, full-hexahedral unstructured mesh models the ship’s motion, while the volume of fluid (VoF) method determines the free surface. Regular head waves of relatively short wavelengths, ranging from 0.22 ≤ λ/LPP ≤ 0.65, are considered in the simulations. The study first examines the stability of the generated waves, followed by an analysis of the wave field around the hull with the ship present, and an assessment of the numerical residual. Fast Fourier Transform (FFT) is applied to the non-dimensional longitudinal force in regular head waves to calculate the mean value of the added resistance. This is to remove the noise in the force signal. Detailed analyses of flow characteristics, including free-surface elevation and pressure distribution, are performed. Pressure distribution contours visually identify hull regions contributing significantly to the added resistance. Simulation results are compared to available experimental data and results based on empirical methods recommended by authorities. This study aims to establish a practical procedure for obtaining reliable added resistance coefficient in short waves.

Authors

Institutions

Publication Details

Journal
Brodogradnja
Published
2025-03-08
DOI
https://doi.org/10.21278/brod76204
Citations
2
Primary Topic
Ship Hydrodynamics and Maneuverability
Type
article
Field-Weighted Citation Impact
2.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical investigation of added resistance of a container ship in short regular waves using unsteady RANS simulations

Shukui Liu, Paresh Halder
2 citations
Brodogradnja
Ship Hydrodynamics and Maneuverability
2.29
article

Numerical investigation of added resistance of a container ship in short regular waves using unsteady RANS simulations

Shukui Liu, Paresh Halder
article en
2 citations

Abstract

Accurately predicting the added resistance coefficient in short waves remains a challenge. This study aims to investigate the added resistance of a container ship in regular short-head waves at moderate Froude numbers through unsteady RANS simulations. A body-fitted, full-hexahedral unstructured mesh models the ship’s motion, while the volume of fluid (VoF) method determines the free surface. Regular head waves of relatively short wavelengths, ranging from 0.22 ≤ λ/LPP ≤ 0.65, are considered in the simulations. The study first examines the stability of the generated waves, followed by an analysis of the wave field around the hull with the ship present, and an assessment of the numerical residual. Fast Fourier Transform (FFT) is applied to the non-dimensional longitudinal force in regular head waves to calculate the mean value of the added resistance. This is to remove the noise in the force signal. Detailed analyses of flow characteristics, including free-surface elevation and pressure distribution, are performed. Pressure distribution contours visually identify hull regions contributing significantly to the added resistance. Simulation results are compared to available experimental data and results based on empirical methods recommended by authorities. This study aims to establish a practical procedure for obtaining reliable added resistance coefficient in short waves.

BrodogradnjaVol. 76(2)
Nanyang Technological University (SG)
Openalex Percentile: Top 14%
Ship Hydrodynamics and Maneuverability
2.29
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.