Surrogate-model-based drag reduction of a SUBOFF model using blowing and suction

Abstract: Reducing the drag and noise of high-speed underwater vehicles is important for ocean exploration and the ocean economy. This work develops an active control technology to reduce the drag of underwater vehicles at high Reynolds number (Re - 10^7). Reynolds-averaged Navier-Stokes equations, closed with a turbulence model of realizable k-ε two-layer, are used to investigate the drag reduction (DR) of a bare SUBOFF model by blowing and suction. Three arrays of steady blowing/suction jets through annular slots are deployed, incorporating 5, 5, and 10 slots, respectively, and have been shown to yield significant DR. Meanwhile, net-energy-saving rate (S), defined as the change rate of net saved energy after subtracting the input energy for active control from the energy saved from DR, can be achieved. Combined control of 15 parameters from two effective arrays of blowing jets achieves a maximum DR of 23.2%, but with a negative S of -7.1%, when performing surrogate-model-based optimization. An efficient control is discovered with a maximum S of 3.8% and DR = 8.0%. The innovatively modified surrogate model is shown to quickly find optimal solutions. Keywords: Underwater vehicle, active drag reduction, numerical simulation, steady blowing/suction

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-01
DOI
https://doi.org/10.5281/zenodo.14213446
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

Surrogate-model-based drag reduction of a SUBOFF model using blowing and suction

Zenodo (CERN European Organization for Nuclear Research)
Ship Hydrodynamics and Maneuverability
article

Surrogate-model-based drag reduction of a SUBOFF model using blowing and suction

article en

Abstract

Abstract: Reducing the drag and noise of high-speed underwater vehicles is important for ocean exploration and the ocean economy. This work develops an active control technology to reduce the drag of underwater vehicles at high Reynolds number (Re - 10^7). Reynolds-averaged Navier-Stokes equations, closed with a turbulence model of realizable k-ε two-layer, are used to investigate the drag reduction (DR) of a bare SUBOFF model by blowing and suction. Three arrays of steady blowing/suction jets through annular slots are deployed, incorporating 5, 5, and 10 slots, respectively, and have been shown to yield significant DR. Meanwhile, net-energy-saving rate (S), defined as the change rate of net saved energy after subtracting the input energy for active control from the energy saved from DR, can be achieved. Combined control of 15 parameters from two effective arrays of blowing jets achieves a maximum DR of 23.2%, but with a negative S of -7.1%, when performing surrogate-model-based optimization. An efficient control is discovered with a maximum S of 3.8% and DR = 8.0%. The innovatively modified surrogate model is shown to quickly find optimal solutions. Keywords: Underwater vehicle, active drag reduction, numerical simulation, steady blowing/suction

Zenodo (CERN European Organization for Nuclear Research)
Shenzhen Institute of Information Technology (CN), Harbin Institute of Technology (CN), Shenzhen Technology University (CN), Eastern Institute of Technology, Ningbo
Openalex Percentile: Top 55%
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.

Surrogate-model-based drag reduction of a SUBOFF model using blowing and suction · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS