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Similarity Study of the Turbulence Characteristics of Underwater Vehicle Models Cover

Similarity Study of the Turbulence Characteristics of Underwater Vehicle Models

Open Access
|Jun 2025

Abstract

To achieve dynamic similarity with the experimental characteristics of structural flow, experimental models are often designed to stimulate turbulence that mimics high Reynolds number conditions. However, the size, shape, and placement of the trip wires play a crucial role in effectively exciting turbulence. This paper focuses on the SUBOFF scaling model as the subject of investigation. The RANS method was employed to analyse the flow field characteristics of a rotating body model with different excitation filaments, and the flow field properties of the model under trip wire perturbation were compared with those of a full-scale model at a 1:17.5 scaling ratio, to ensure similarity in terms of the Froude number. The goal was to identify the trip wire installation solution that most closely resembled the flow field characteristics of the full-scale model. The study found that the trip wire altered the boundary layer structure. Different installation positions of the trip wire led to varying effects on the boundary layer and local pressure gradient, which in turn affected the recovery of the boundary layer and modified the local flow field structure. By satisfying the condition for Froude number similarity, an experimental model subjected to surge filament perturbation can accurately simulate a pressure gradient, turbulence intensity, and vortex core structure that are comparable to those of a full-scale model. This finding offers a new approach for experiments focused on achieving high Reynolds number similarity.

DOI: https://doi.org/10.2478/pomr-2025-0016 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 4 - 16
Published on: Jun 19, 2025
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Guozhi Bao, Bolong Liu, Ruitao Yang, Xiaodong Si, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.