Drag-dominated local wave loading on a slender vertical cylinder in the vicinity of the free-surface

Accurate prediction of wave loading on offshore structures, particularly offshore wind systems, requires reliable representation of local forces in the crest-to-trough zone where existing depth-averaged Morison-type approaches remain uncertain. This study investigates this region using local force measurements on a drag-dominated vertical cylinder subjected to deterministic focused wave groups, with emphasis on steep non-breaking and breaking waves. The aim is to improve guidance on coefficient selection by clarifying the physical mechanisms governing near-surface loading. Predictions using fully-nonlinear kinematics show that the remaining discrepancies cannot be explained by incident-flow modelling alone, but reflect limitations of depth-averaged loading coefficients. The inferred elevation-dependent drag coefficients reveal distinct behaviours for breaking and non-breaking waves. In non-breaking cases, C d decreases towards the free surface as horizontal momentum is diverted into run-up. In breaking cases, C d first increases at intermediate elevations, consistent with downstream free-surface depression and enhanced pressure difference, before decreasing rapidly near the surface. In this enhanced loading region, the measured drag approaches, but does not exceed, a reference estimated based on the incident momentum-flux. The results provide a physically informed basis for elevation-dependent drag coefficients parameterised by a local Froude number, offering practical guidance for near-surface force prediction beyond empirical re-calibration.

Authors

Institutions

Publication Details

Journal
Ocean Engineering
Published
2026-11-11
DOI
https://doi.org/10.1016/j.oceaneng.2026.129136
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Drag-dominated local wave loading on a slender vertical cylinder in the vicinity of the free-surface

Ioannis Karmpadakis, Chris Swan, Li Ma, Xinlu Lucy Mao
2 links
Ocean Engineering
Ocean Waves and Remote Sensing
article

Drag-dominated local wave loading on a slender vertical cylinder in the vicinity of the free-surface

Ioannis Karmpadakis, Chris Swan, Li Ma, Xinlu Lucy Mao
article en

Abstract

Accurate prediction of wave loading on offshore structures, particularly offshore wind systems, requires reliable representation of local forces in the crest-to-trough zone where existing depth-averaged Morison-type approaches remain uncertain. This study investigates this region using local force measurements on a drag-dominated vertical cylinder subjected to deterministic focused wave groups, with emphasis on steep non-breaking and breaking waves. The aim is to improve guidance on coefficient selection by clarifying the physical mechanisms governing near-surface loading. Predictions using fully-nonlinear kinematics show that the remaining discrepancies cannot be explained by incident-flow modelling alone, but reflect limitations of depth-averaged loading coefficients. The inferred elevation-dependent drag coefficients reveal distinct behaviours for breaking and non-breaking waves. In non-breaking cases, C d decreases towards the free surface as horizontal momentum is diverted into run-up. In breaking cases, C d first increases at intermediate elevations, consistent with downstream free-surface depression and enhanced pressure difference, before decreasing rapidly near the surface. In this enhanced loading region, the measured drag approaches, but does not exceed, a reference estimated based on the incident momentum-flux. The results provide a physically informed basis for elevation-dependent drag coefficients parameterised by a local Froude number, offering practical guidance for near-surface force prediction beyond empirical re-calibration.

Ocean EngineeringVol. 371
Imperial College London (GB)
Ocean Waves and Remote Sensing
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.

Laika access coming soon