SHIP WAVES GENERATED BY A CRUISE SHIP: FIELD OBSERVATION AND NUMERICAL REPRESENTATION USING GREEN'S FUNCTIONS

Along fairways, rivers, and sheltered seas, ship waves may have dominant influence on shore and bank erosion and disturb the ecosystem (e.g., Larson et al. 2017, Almström et al., 2022). For efficient and reliable prediction of ship wave generation, the authors developed a numerical model based on Green’s functions (Morioka et al., 2020). While reasonably good model performance was confirmed through comparison with measured data in a laboratory experiment, observed ship waves, generated by a relatively small model boat, were dominated by secondary wave components with relatively short periods. Model applicability for prediction of primary wave components, dominantly generated by a large vessel, was not established. Primary waves are induced by the pressure head drop around a vessel, whereas secondary waves are generated through water surface disturbances induced around the bow and the stern. Differences in the physical mechanisms of these two wave components make it difficult for a model to represent both components using a simple unified methodology. This study presents results from a unique field survey of ship waves generated by a cruise ship along a sheltered coastal fairway in Sweden, including the application and enhancements of the aforementioned model, which improved predictions of both the observed primary and secondary ship wave components.

Authors

Publication Details

Journal
Coastal Engineering Proceedings
Published
2025-05-29
DOI
https://doi.org/10.9753/icce.v38.waves.48
Primary Topic
Ship Hydrodynamics and Maneuverability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SHIP WAVES GENERATED BY A CRUISE SHIP: FIELD OBSERVATION AND NUMERICAL REPRESENTATION USING GREEN'S FUNCTIONS

Yoshimitsu TAJIMA, Jumpei Morioka, Yusuke Yamanaka, Björn Almström et al.
Coastal Engineering Proceedings
Ship Hydrodynamics and Maneuverability
article

SHIP WAVES GENERATED BY A CRUISE SHIP: FIELD OBSERVATION AND NUMERICAL REPRESENTATION USING GREEN'S FUNCTIONS

Yoshimitsu TAJIMA, Jumpei Morioka, Yusuke Yamanaka, Björn Almström, Magnus Larson
article en

Abstract

Along fairways, rivers, and sheltered seas, ship waves may have dominant influence on shore and bank erosion and disturb the ecosystem (e.g., Larson et al. 2017, Almström et al., 2022). For efficient and reliable prediction of ship wave generation, the authors developed a numerical model based on Green’s functions (Morioka et al., 2020). While reasonably good model performance was confirmed through comparison with measured data in a laboratory experiment, observed ship waves, generated by a relatively small model boat, were dominated by secondary wave components with relatively short periods. Model applicability for prediction of primary wave components, dominantly generated by a large vessel, was not established. Primary waves are induced by the pressure head drop around a vessel, whereas secondary waves are generated through water surface disturbances induced around the bow and the stern. Differences in the physical mechanisms of these two wave components make it difficult for a model to represent both components using a simple unified methodology. This study presents results from a unique field survey of ship waves generated by a cruise ship along a sheltered coastal fairway in Sweden, including the application and enhancements of the aforementioned model, which improved predictions of both the observed primary and secondary ship wave components.

Coastal Engineering Proceedings(38)
Openalex Percentile: Top 62%
Ship Hydrodynamics and Maneuverability
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.