eCite Digital Repository

Joint Research Between Australia and Japan on Manoeuvring of Underwater Vehicles


Pook, DA and Clarke, DB and Ranmuthugala, SD, Joint Research Between Australia and Japan on Manoeuvring of Underwater Vehicles, MAST ASIA 2017 Conference Papers, 12-14 June 2017, Chiba, Japan, pp. 1-6. (2017) [Non Refereed Conference Paper]

Pending copyright assessment - Request a copy

Official URL:


Japan and Australia signed a Letter of Agreement in 2015, t foster joint research on underwater vehicle manoeuvring by each country’s defence research agency, Defence Science and Technology Group (DST) in Australia, and Acquisition, Technology & Logistics Agency (ATLA) in Japan. The project will create an extensive experimental and computational hydrodynamic data set for the BB2, generic diesel-electric submarine geometry. The towing tank facility at ATLA will be used to produce planar motion data relevant to studies of manoeuvring, and PIV to examine flow features. The low speed wind tunnel at DST will provide static loads, and PIV measurements of the near body flow structures to validate computational fluid dynamics (CFD) research. Both agencies will conduct computational studies to assess turbulence modelling and compare grid generation and solver strategies.

This paper presents initial CFD results, generated by DST, that explore the effect of turbulence modelling, and grid refinement, on the predicted BB2 static loads. High resolution Reynolds Averaged Navier Stokes (RANS) simulations were conducted for the BB2 running straight-ahead and at an angle-of-drift (AoD) of 10◦. All turbulence models tested predict a similar surge force for the boat running straight-ahead (3% variation). The sway force at an AoD of 10◦ is also predicted consistently by the turbulence models when using the finest grids (4% variation). However, examining only the loads of the entire boat globally can hide significant local differences. For example, the predicted forces on aft-control-surfaces (ACS) can vary in excess of 20% with turbulence model choice. This is mainly due to smaller ACS load predictions by the RSMω model.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:submarine, CFD, control
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Naval architecture
Objective Division:Defence
Objective Group:Defence
Objective Field:Maritime
UTAS Author:Ranmuthugala, SD (Professor Dev Ranmuthugala)
ID Code:122381
Year Published:2017
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-11-13
Last Modified:2017-11-13
Downloads:3 View Download Statistics

Repository Staff Only: item control page