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Keyword : upwind
Results 1 - 5 of 16
Full Scale Pressure Measurements From SYL Navigation: An Upwind Case Study
The present work discusses an upwind case study about full scale measurements gathered during navigation on the Politecnico di Milano Sailing Yacht Laboratory (SYL). SYL is a 10m sailing boat, consisting in standard instrumentation, integrated dynamometer, a 3D flying shape detection system and distributed pressure sensors on sails. Particular attention was devoted to pressure measurements: full scale results are analysed and compared with wind tunnel test. The comparison of full scale/wind tunnel pressure distributions holds consistently, with the highest differences observed in the regions close to the leading edge. Critical aspects related to performing full scale measurements are also discussed.
Experimental and numerical trimming optimizations for a mainsail in upwind conditions
This paper investigates the use of meta-models for optimizing sails trimming. A Gaussian process is used to robustly approximate the dependence of the performance with the trimming parameters to be optimized. The Gaussian process construction uses a limited number of performance observations at carefully selected trimming points, potentially enabling the optimization of complex sail systems with multiple trimming parameters. We test the optimization procedure on the (two parameters) trimming of a scaled IMOCA mainsail in upwind conditions. To assess the robustness of the Gaussian process approach, in particular its sensitivity to error and noise in the performance estimation, we contrast the direct optimization of the physical system with the optimization of its numerical model. For the physical system, the optimization procedure was fed with wind tunnel measurements, while the numerical modeling relied on a fully non-linear Fluid-Structure Interaction solver. The results show a correct agreement of the optimized trimming parameters for the physical and numerical models, despite the inherent errors in the numerical model and the measurement uncertainties. In addition, the number of performance estimations was found to be affordable and comparable in the two cases, demonstrating the effectiveness of the approach.
A Comparison of RANS and LES for Upwind Sailing Aerodynamics
Computational methods currently form a significant part
of a sailing yacht design project. The fluid-dynamics that
characterises a sailing yacht is extremely complex, due
to the fact that the yacht is partly immersed in water and
partly in air with major three-dimensional and turbulent
phenomena. A large number of investigations, using both
experimental and numerical methods, have created an
extensive knowledge of the physics of a sailing yacht, but
at the same time highlighted the extent and complexity of
this research field. A better understanding of the physics
involved in both the aerodynamics and fluid dynamics of
the yacht, together with the need to develop, improve and
validate existent numerical models are primary reasons to
further extend the work done on this subject.
There have been a number of studies of the aerodynamics
of upwind sails. Viola (Viola et al., 2013) modelled the air
flow field around a hypothetical AC33 class yacht design,
using a steady RANS solver, and highlighted the main
flow features and structures involved in upwind sailing
aerodynamics. Even though the flow is mainly attached to
the sails, numerical results showed areas of leading edge
flow separation, especially at the top of the mainsail, where
the influence of the downwash generated by the headsail is
less predominant. Querard & Wilson (Querard & Wilson,
2007) and Masuyama (Masuyama et al., 2007) showed
the need for a high quality, fine mesh in order to capture
these flow features and correctly reproduce the pressure
distribution on the sail surface. Queutey (Queutey et al.,
2015) addressed some misbehaviour of numerical models to
geometric incongruities with the experimental benchmark
model.
The present work further investigates upwind sailing
aerodynamics, analysing the effects of geometric and
mesh modifications, in combination with the use of Large
Eddy Simulation. LES has proven its ability to model
highly turbulent and separated flow (Sagaut & Mary,
2001) (Sampaio et al., 2014), albeit at the expense of high
computational costs. To date there are no published results
of LES in sailing aerodynamics, and so the application of
the methodology to the modelling of a well documented
experiment (Fluck, 2010) allows the testing of LES’s
capabilities and applicability to this field of research.
A high resolution grid was used so as to capture the finest
flow structures trying to correctly reproduce the pressure
distribution across the sails, especially in regions of flow
separation. Particular effort was made to replicate the experimental
test conditions and to analyse the influence that
different set ups have on the computational results. Simulations
were performed using RANS and LES on the same
mesh, allowing a direct comparison between the methods.
Wind Tunnel Investigation of Dynamic Trimming on Upwind Sail Aerodynamics
An experiment was performed in the Yacht Research Unit’s
Twisted Flow Wind Tunnel (University of Auckland) to test
the effect of dynamic trimming on three IMOCA 60 inspired
mainsail models in an upwind (AWA = 60) unheeled configuration.
This study presents dynamic fluid structure interaction
results in well controlled conditions (wind, sheet
length) with a dynamic trimming system. Trimming oscillations
are done around an optimum value of CFobj previously
found with a steady trim. Different oscillation amplitudes
and frequencies of trimming are investigated. Measurements
are done with a 6 component force balance and
a load sensor giving access to the unsteady mainsail sheet
load. The driving CFx and optimization target CFobj coefficient
first decrease at low reduced frequency fr for quasisteady
state then increase, becoming higher than the steady
state situation. The driving force CFx and the optimization
target coefficient CFobj show an optimum for the three
different design sail shapes located at fr = 0:255. This optimum
is linked to the power transmitted to the rig and sail
system by the trimming device. The effect of the camber
of the design shape is also investigated. The flat mainsail
design benefits more than the other mainsail designs from
the dynamic trimming compared to their respective steady
situtation. This study presents dynamic results that cannot
be accurately predicted with a steady approach. These results
are therefore valuable for future FSI numerical tools
validations in unsteady conditions.
Structural Optimization of an America's Cup 90 Racing Yacht: The Influence of Deflections on Upwind Performance
The structural design of a racing yacht is aimed at lowering the centre of gravity and mass of the boat within strength constraints in order to increase the sail carrying ability and reduce hull drag...