Flow memory effect on viscous hydrodynamic loads of a remotely operated vehicle undergoing drift motions

• Drift angle effect on the viscous hydrodynamic loads. • 3D hysteresis loops of viscous loads of an ROV in a two-DOF translational motion. • Hydrodynamic load responses of the unsteady viscous hydrodynamic loads. • Mechanism of flow memory effect revealed by a convolution-based method. The hydrodynamic loads on a remotely operated vehicle (ROV) undergoing oblique motions are studied experimentally and numerically. A novel convolution-based method for calculating the flow memory effect response function of the viscous hydrodynamic loads is presented. The nonlinear effect of the drift angle on the hydrodynamic loads is investigated through steady drift tests, and the flow separation that occurs around the ROV is measured using the Reynolds-averaged Navier–Stokes (RANS) turbulence model. The effect of coupling longitudinal and lateral velocities is examined using frequency analysis of the loads measured in impulse motion response tests. By analyzing the hysteresis loops of the hydrodynamic loads in one apparent period, the flow memory effect is identified, whereby the ROV has two different hydrodynamic force magnitudes when it reaches the same speed at different times in one period. The existence of the flow memory effect associated with hydrodynamic loads is explained by the response functions. All convolutions related to the longitudinal, lateral, and coupling velocity at the beginning of the motion contribute to the memory effect. When the ROV drifts stably, the memory effect is solely induced by the convolution related to the coupling velocity.

Authors

Institutions

Publication Details

Journal
Applied Ocean Research
Published
2025-02-01
DOI
https://doi.org/10.1016/j.apor.2025.104461
Citations
1
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
1.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flow memory effect on viscous hydrodynamic loads of a remotely operated vehicle undergoing drift motions

Nan Sun, Fuxiang Huang, Zhong‐Ming Li, Yingfei Zan et al.
1 citations
Applied Ocean Research
Lattice Boltzmann Simulation Studies
1.33
article

Flow memory effect on viscous hydrodynamic loads of a remotely operated vehicle undergoing drift motions

Nan Sun, Fuxiang Huang, Zhong‐Ming Li, Yingfei Zan, Duanfeng Han, Yaogang Sun, Ruinan Guo
article en
1 citations

Abstract

• Drift angle effect on the viscous hydrodynamic loads. • 3D hysteresis loops of viscous loads of an ROV in a two-DOF translational motion. • Hydrodynamic load responses of the unsteady viscous hydrodynamic loads. • Mechanism of flow memory effect revealed by a convolution-based method. The hydrodynamic loads on a remotely operated vehicle (ROV) undergoing oblique motions are studied experimentally and numerically. A novel convolution-based method for calculating the flow memory effect response function of the viscous hydrodynamic loads is presented. The nonlinear effect of the drift angle on the hydrodynamic loads is investigated through steady drift tests, and the flow separation that occurs around the ROV is measured using the Reynolds-averaged Navier–Stokes (RANS) turbulence model. The effect of coupling longitudinal and lateral velocities is examined using frequency analysis of the loads measured in impulse motion response tests. By analyzing the hysteresis loops of the hydrodynamic loads in one apparent period, the flow memory effect is identified, whereby the ROV has two different hydrodynamic force magnitudes when it reaches the same speed at different times in one period. The existence of the flow memory effect associated with hydrodynamic loads is explained by the response functions. All convolutions related to the longitudinal, lateral, and coupling velocity at the beginning of the motion contribute to the memory effect. When the ROV drifts stably, the memory effect is solely induced by the convolution related to the coupling velocity.

Applied Ocean ResearchVol. 155
Harbin Engineering University (CN), China National Offshore Oil Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 27%
Lattice Boltzmann Simulation Studies
1.33
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.