Hydrodynamic Modeling Of Sailing Yachts.pdf

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Hydrodynamic Modeling of Sailing Yachts
Stefan Harries, Technical University of Berlin
Claus Abt, Technical University of Berlin
Karsten Hochkirch, Friendship Systems, Berlin
ABSTRACT
the optimization of a keel-bulb-winglet configuration so
as to find a minimum drag solution for a given sideforce
and (b) the optimization of the bare hull with respect to
wave resistance.
The examples can be regarded as representative for
both racing and touring yachts with draft restrictions and
illustrate the methodology of hydrodynamic modeling.
In modern yacht design geometric modeling is regarded
to be directly related to the hydrodynamic performance
of the shape of the hull and its appending elements –
usually the keel, often with winglets, and the rudder.
While the traditional way of shape design – i.e., draw-
ing, model building, tank testing, modifying . . . – is both
time consuming and expensive, a complementing ap-
proach shall be discussed within this paper. The ap-
proach is called hydrodynamic modeling since it tightly
combines the hydrodynamic analysis and the geomet-
ric modeling in the design process. It is based on ad-
vanced Computational Fluid Dynamics (CFD) methods
for flow field analysis and unique parametric modeling
techniques for shape generation.
The geometry of a yacht is entirely described via im-
portant form parameters as discussed in detail by the au-
thors at the 1999 CSYS. The canoe body of the yacht is
modeled from a small set of longitudinal curves which
provide all parameters needed for sectional design. The
longitudinal curves themselves being created via form
parameters, a fully parametric description of the hull is
achieved which allows to create and modify the geom-
etry in a highly sophisticated manner. The fairness of
the shapes is an intrinsic part of the form generation
procedure. Apart from the canoe body the keel repre-
sents the most pronounced hydrodynamic design ele-
ment, dominating lift and righting moment of a yacht
but also causing a non-negligible resistance component
called induced drag. Keel, bulb and winglets are also
specified in terms of form parameters.
An application of hydrodynamic modeling is given
for an IACC-yacht. Formal optimization can be suc-
cessfully employed to identify improved and, eventu-
ally, optimal configurations. A reasonably small set of
parameters (free variables) was selected and systemati-
cally varied making use of a fully-automatic optimiza-
tion scheme. Two optimization examples are presented
in order to demonstrate the potential of the approach: (a)
NOMENCLATURE
B max
maximum beam at deck level
C B
block coefficient
C P
prismatic coefficient
E 2
fairness criteria
F n
Froude number
IACC
International America’s Cup Class
L PP
length between perpendiculars
V PP
Velocity Prediction Program
x B max
longitude of maximum beam
x CB
longitudinal center of buoyancy
T max
maximum draft
INTRODUCTION
Designing a yacht, in particular its hull geometry and
appendages, is a process of creativity, skill, experience
and art – independent of whether the naval architect
chooses to express his or her ideas by means of a tra-
ditionally drawn lines plan or whether the designer de-
cides to apply a computer aided design (CAD) system to
create a product model. Full benefit can be gained from
the latter when an integrated process of modeling and
analysis is established in which design variations can be
evoked and assessed efficiently.
In geometric modeling and particularly in yacht de-
sign many CAD systems are now built on an outstand-
ing mathematical curve and surface representation tech-
nique known as B-splines. Originating in free-form de-
sign, the underlying methodology of most of these sys-
tems is the interactive shape generation where points –
4992660.012.png
e.g. the vertices of the B-spline’s defining polygon or
polyhedron – are positioned in three-dimensional space.
Achieving the desired form generally is a laborious un-
dertaking since the results need to be suitably fair while
specific constraints have to be taken into account, e.g.
the displacement or the length of a water line important
to the rating rules under consideration. Then the pro-
cess of manual vertex manipulation becomes rather te-
dious and systematic modifications in order to improve
the shapes with regard to their hydrodynamics become
inapt.
Instead of interactively handling the lowest entities
of the underlying mathematical model (i.e., the vertices)
a different approach has been pursued which is aimed at
expressing the geometry in terms of high level descrip-
tors for the intended shapes (i.e., form parameters).
Following the stage of shape creation, the design
may be analyzed for its various characteristics. The hy-
drodynamics being of supreme importance to racing
yachts, a state-of-the-art system of Computational Fluid
Dynamics can be used to examine the performance.
Modern flow codes have reached the maturity to rank
different designs in respect to resistance and lift (i.e.,
side force). A potential flow code with good response
time was therefore applied to numerically analyze the
flow about the hull and a keel-bulb-winglet configura-
tion.
The potential of linking the two stages of geometric
modeling and hydrodynamic analysis tightly together,
becomes apparent when utilizing an integrated envi-
ronment in which modeling, analysis, evaluation and
modification can be repeated systematically within short
turn-around time.
Within this paper the parametric approach will be
discussed and examples will be shown for an IACC
yacht, see section on geometric modeling. The hydrody-
namic optimization of an IACC canoe body and its keel-
bulb-winglet configuration by means of a formal strat-
egy and a fully-automatic process will be presented, see
section on optimization. A full optimization in the light
of a velocity prediction program (VPP) is discussed.
tures (e.g. angle of entrance of the design water-
line),
Positional form parameters like points to be interpo-
lated (e.g. breadth of the waterline at the transom),
Integral form parameters like area, volume and cen-
troid information (e.g. center of flotation).
Well-defined parameters facilitate the modeling process
since the designer can focus his or her attention on the
outcome rather than on the input, assuming that the
form generation procedure automatically brings about
the specified geometry by itself.
In the subsections to come, first the parametric mod-
eling of (bare) hulls shall be briefly reviewed as intro-
duced by H ARRIES AND A BT (1999b) and H ARRIES
(1998). New features will be presented so as to cope
with additional constraints originating from class rules.
Following this, the parametric modeling of appendages
shall be outlined as needed for hydrodynamic optimiza-
tion.
Hull
In the novel parametric approach to the design of sailing
yachts by H ARRIES AND A BT (1999b) the process of
modeling surfaces of complex geometry is based on lay-
ing out a set of cross-sectional curves and, subsequently,
generating a surface by means of lofting (L ETCHER ,
1981) or skinning (W OODWARD , 1986, 1988). Follow-
ing the classic naval architect’s technique of describing
a ship’s geometry in terms of longitudinal curves (i.e.,
basic curves) from which design sections are derived,
the design sections (i.e., the cross-sectional curves) de-
fine the interpolating surfaces and determine the shape
of the envisioned hull.
A new system called FRIENDSHIP Modeler , 1 has
been introduced which is based completely on paramet-
ric design principles. One of the key features of the
1 Form parameter oRIENteD SHIP Modeler http://www.
friendship-systems.com
GEOMETRIC MODELING
HYDRODYNAMIC
OPTIMIZATION
PERFORMANCE
CONSTRAINTS
FREE VARIABLES
In parametric modeling design ideas are usually ex-
pressed by descriptors that imply higher level informa-
tion about the object to be created. Often, relationships
and possible dependencies between entities are consid-
ered. In addition, the descriptors may also represent
complex features that the product is to assume. When
modeling geometry, the descriptors are called form pa-
rameters, three types of which can be distinguished:
GEOMETRIC
OPTIMIZATION
HULL
FAIRNESS
CONSTRAINTS
FREE VARIABLES
PARAMETRIC
HULL GENERATION
CURVE
FAIRNESS
CONSTRAINTS
FREE VARIABLES
OBJECTIVE
FUNCTION
IACC-FRIEND
Differential form parameters like tangents and curva-
F IGURE 1: Levels of the hydrodynamic modeling sys-
tem
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Layer
Objective function
Constraints
Design/Free variable
2 Hydrodynamic
optimization
Performance
Feasible domains of the
design variables
Properties defined by the
constraints of layer 1 e.g.
C P , x CB
1 Parametric hull
generation with implicit
measurement constraints
and physical properties
from form parameter
defined basic curves
Fairness of basic curves
and sectional fairness
Displacement, x CB ,
interpolation of the deck,
design waterline ,
centerplane, tangents,
tangent plane, shape
modification curves,
measurement marks
Direct geometrical
properties of the basic
curves e.g. B max , T max ,
L PP , x B max , x T max , B stern ,
B bow
0 Parametric B-spline
generation
E 2 Fairness
Interpolation, enclosed
area, centroid position,
tangential properties,
curvature
Vertex coordinates,
vector sizes
T ABLE 1: Direct parametric modeling
Layer
Objective function
Constraints
Design/Free variable
3 Hydrodynamic
optimization
Performance
Feasible domains of the
design variables
Properties defined by the
constraints of layer 2
(e.g. C P , x CB ) and free
variables of layer 1
2 Geometric optimization
Global and local fairness
of the hull
Displacement, formula
constraints, form
parameters e.g. C P , C B ,
x CB , lateral area,
waterplane area, center
of flotation, convexity
A subset of the free
variables from layer 1
1 Parametric hull
generation with implicit
measurement constraints
and physical properties
from form parameter
defined basic curves
Fairness of basic curves
and sectional fairness
Displacement, x CB ,
Interpolation of the deck,
design waterline ,
centerplane, tangents,
tangent plane, shape
modification curves,
measurement mark
Direct geometrical
properties of the basic
curves e.g. B max , T max ,
L PP , x B max , x T max , B stern ,
B bow
0 Parametric B-spline
generation
E 2 Fairness
Interpolation, enclosed
area, centroid position,
tangential properties,
curvature
Vertex coordinates,
vector sizes
T ABLE 2: Advanced parametric modeling
approach is the generation of B-spline curves and sur-
faces by means of variational calculus. Instead of in-
teractively manipulating the B-spline’s control points,
the (free) vertices are computed from a geometric op-
timization which employs fairness criteria as measures
of merit and captures the specified form parameters as
equality constraints.
Modeling a hull thus becomes the task of selecting
the form parameters to be taken into account and assign-
ing suitable values to them. This can be done by evalu-
ating an existing design and remodeling it or, alterna-
tively, specifying a set of form parameters from scratch.
As soon as an initial shape is produced changes can be
systematically brought about by varying one or several
parameters.
Form parameters can be individually addressed and
changed. Nevertheless, the interdependency of form pa-
rameters needs to be considered. For instance, pushing
the center of flotation aft while pulling the center of
buoyancy forward can only be accommodated within
subtle limits unless non-yacht like shapes are intended.
Within hydrodynamic optimization, the direct use
of physical properties like displacement and center of
buoyancy can be successfully employed, see H ARRIES
AND A BT (1999a). Variations can be evoked efficiently
but the initial guess should be reasonably close to where
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F IGURE 2: Parametrically designed IACC yacht with circular sections
F IGURE 3: Parametrically designed IACC yacht with trapezoidal sections
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F IGURE 4: IACC canoe body designed by parametric modeling
F IGURE 5: Perspective view of an IACC canoe body designed by parametric modeling
4992660.011.png
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