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TRANSCRIPT
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JournalofHumanKineticsvolume29/2011,4957 49SectionIKinesiology
1UniversityofBeiraInterior.DepartmentofSportSciences(UBI,Covilh.Portugal).2 ResearchCentreinSports,HealthandHumanDevelopment(CIDESD,Portugal).3PolytechnicInstituteofBragana.DepartmentofSportSciences(IPB,Bragana.Portugal.4 University
of
Trs
os
Montes
and
Alto
Douro.
Department
of
Mechanical
Engineering
(UTAD,
Vila
Real,
Portugal).
5UniversityofPennsylvania.DepartmentofMechanicalEngineeringandAppliedMechanics(UPENN,Pennsylvania.USA).6 UniversityofTrsosMontesandAltoDouro.DepartmentofSports,HealthandExercise(UTAD,VilaReal.Portugal).
Authorssubmittedtheircontributionofthearticletotheeditorialboard.
AcceptedforprintinginJournalofHumanKineticsvol.29/2011onSeptember2011.
TheHydrodynamicStudyoftheSwimmingGliding:aTwo
DimensionalComputational
Fluid
Dynamics
(CFD)
Analysis
DanielA.Marinho1,2,TiagoM.Barbosa2,3,AbelI.Rouboa4,5,AntnioJ.Silva2,6
Nowadays the underwatergliding after the starts and the turnsplays amajor role in the overall swimming
performance.Hence,minimizing hydrodynamic drag during the underwaterphases should be amain aim during
swimming. Indeed, there are severalpostures that swimmers can assume during the underwatergliding, although
experimental resultswere not conclusive concerning the best bodyposition to accomplish this aim. Therefore, the
purposeof
this
study
was
to
analyse
the
effect
in
hydrodynamic
drag
forces
of
using
different
body
positions
during
gliding throughcomputationalfluiddynamics (CFD)methodology.For thispurpose, twodimensionalmodelsof the
human body in steadyflow conditionswere studied.Twodimensionalvirtualmodels had been created: (i) aprone
positionwiththearmsextendedatthefrontofthebody;(ii)apronepositionwiththearmsplacedalongsidethetrunk;
(iii)alateralpositionwiththearmsextendedatthefrontand;(iv)adorsalpositionwiththearmsextendedatthefront.
The dragforceswere computed between speeds of 1.6m/s and 2m/s in a twodimensional Fluent analysis.The
positionswith thearms extendedat thefrontpresented lowerdragvalues than thepositionwith thearmsaside the
trunk.The lateralpositionwas theone inwhich thedragwas lowerandseemstobe theone thatshouldbeadopted
duringtheglidingafterstartsandturns.
Key words: tests and testing; computational fluid dynamics; technique; biomechanics; numerical simulations,
swimminggliding
Introduction
Competitive swimmers should have twoaims to improve speed and thus enhanceperformance. They should: (i) maximize thepropulsive forces produced by the propellingsegments and; (ii) minimize the hydrodynamicdrag resisting forward motion (Callaway et al.,2009; Marinho et al., 2009). Regarding the latteraim,asubstantialenergyiswastedtothewaterin
orderto
overcome
the
resistance
(Toussaint
&
Beek,1992;Kolmogorovetal.,1997).Thus,expertswimmers seem to improve techniquedue toanincrease in propulsive force, as well as,minimizing hydrodynamic drag (Seifert et al.,2007).
Effortstominimizehydrodynamicdragshouldbecarriedout during all swimming phases.However, decreasing drag during the glidingafterstartsandturnsshouldbeamainconcernforswimmers and their coaches, especiallynowadays, when the underwater gliding playsamajor role to theoverall swimmingperformance(VilasBoas et al., 2010). Thus, swimmers must
adoptthe
most
hydrodynamic
position
during
gliding. Several studies (VilasBoas et al., 2000;Cossor&Mason,2001)suggestedthatratherthanthe start technique usedby the swimmer, it ishis/herbodypositionafterimmersionthatmostlydetermines thesuccessof the start. Indeed, there
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are several postures that the swimmers canassumeduring theunderwatergliding,althoughexperimental results were not conclusiveconcerningthebestbodypositiontoperformthisphase (Jiskoot & Clarys, 1975; Maglischo, 2003).
Some
swimmers
prefer
to
glide
in
a
lateral
position and others in a prone one. In addition,during gliding swimmers can change theirbodyposture.Moreover,insometechniquesswimmersmustchangetheirlimbpositions.Forinstance,inbreaststroke, the gliding is initially performedwith the arms fully extended at the front. Butthen, swimmers perform a second gliding withthe arms aside the trunk. It canbe thought thatthesedifferentposturesmight lead todifferencesinthe intensityofthedragforcesexperiencedby
the
swimmers.
Hydrodynamic drag consists of friction,pressureandwavedrag.Friction,orviscousdrag,is originated from fluid viscosity. It producesshear stresses in theboundary layer. Thus, themagnitudeoffrictiondragdependsonthewettedsurfaceareaof thebodyand the flowconditionswithintheboundarylayer.Pressure,orformdrag,is due to distortion of flow outside of theboundary layer. The flow over the swimmersbodymay separateatacertainpoint,depending
on
the
shape,
size
and
velocity
of
the
swimmer.
Behindtheseparationpoint,theflowreversesandmay roll up into distinct eddies (vortices). As aresult, a pressure differential arisesbetween thefront and the rear of the swimmer, resulting inpressuredrag.Whenswimmingneartothewatersurface,duetotheinterfacebetweentwofluidsofdifferent density, a third component of the totaldragisduetowavedrag.Kineticenergyfromtheswimmer is lost as it is changed into potentialenergy in the formations of waves (Toussaint &
Truijens,
2005).
Thedragforcecomponentsproducedbytheswimmer gliding have been analysed applyingdifferent experimental methods (Clarys, 1979;Lyttleetal.,2000).However,asabovementioned,dataobtainedon thosestudiesvaried,whichcanrepresent some of the difficulties involved withexperimentalresearch(Bixleretal.,2007).Anotherdifferentapproachthatcanbeusedtoanalysetheeffect of different postures during the gliding istheapplicationofanumericalsimulationmethod,
such
as
computational
fluid
dynamics
(CFD).
Bixleretal. (2007)presenteddatasupporting the
accuracyandvalidityofthismethodtobeusedinswimmingresearch.Sincethen,thismethodologyhasbeenapplied on regularbasis toanalyse thewaterflowaroundthehumanbodyandtheforcesinvolved during the swimmers displacement
(Rouboa
et
al.,
2006;
Silva
et
al.,
2008;
Marinho
et
al.,2009).Therefore,thepurposeofthisstudywastoanalysetheeffectinhydrodynamicdragforcesof using differentbody positions during glidingthrough computational fluid dynamicsmethodology.
MaterialandMethods
Digitalmodel
Twodimensional virtual models werecreated in CAD software to acquire the human
bodygeometry.Thisgeometrywasbasedon theanatomicalcharacteristicsofamalenationallevelswimmersgroup (n=15,20.021.37yrs,1.870.21m of height, 78.324.56 kg of body mass).Anthropometrical measures (height, arm span,arm length, leg lengths, hand length and width,foot length and width, and sitting height) of 15maleswimmerswereassessed,assumingthatthedigital model represented average values ofnational level swimmers (participating inNational Swimming Championships). Therefore,
thedigitalmodelwascreatedinCADwith1.87mheight, a finger to toe length of 2.37 m (in thepositionwith thearmsextendedat the frontandwith shoulders fully flexed) and, a vertex to toelength of 1.92 m (in the position with the armsalongthetrunk).
Four digital models were developed tocomparetheswimmersposturegliding:(i)attheprone position, with the arms extended at thefront of thebody (Figure 1. Panel A); (ii) at thepronepositionwiththearmsplacedalongsidethe
trunk (Figure 1. Panel B); (iii) at the lateralposition, with the arms extended at the front ofthebody(Figure1.PanelC)and;(iv)atthedorsalposition, with the arms extended at the front ofthebody(Figure1.PanelD).
The models surfaces were then developedusingGambit,ageometrymodellingprogramofFluent software (Fluent, Inc. Hannover, USA).Thesesurfaceswerethenmeshed,usingthesamesoftware, creating the grid which was importedintoFluentforanalysis(Figure1).
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Figure1Swimmersmodelgeometrywiththebodyinthefourdifferentpositionsanalysedinthisstudy
Figure2Computationalfluiddynamicsmodelgeometrywiththemodelinadorsalposition
withthearmsextendedatthefront
Boundaryconditions
The computational domain consisted of atwodimensional grid, or mesh of cells, thatsimulate the fluid flow around the humanbodymodel.
The fluid mechanical properties, the flowcharacteristics along the outside gridboundariesand themathematical relationship toaccount forthe turbulencewere considered.The standardkepsilon turbulence model was considered andimplemented in the Fluent software. Thisturbulencemodelwasshowntobeaccuratewithmeasuredvalues inapreviousresearch (Moreiraetal.,2006).
The computational fluid dynamics analyseswere done with the models in a horizontal
position with an attack angle of 0. The attackangleisdefinedastheanglebetweenahorizontal
planeandthefoilcord(i.e.alinedrawnfromtheheadvertextotheanklejoint).
The boundary conditions of thecomputational fluid dynamics model weredesigned to represent the geometry and flow
conditionsofapartofaswimmingpoollane.Thewaterdepthofthemodelwas1.80m.Thelengthof the computational domain was 8.0 m in thestreamlinedpositions and 7.55 m in thepositionwith the arms along the trunk, allowing in allsituationsthesameflowconditionsbehindandinfront of the model. In all positions, the distancefrom theswimmershands (orhead) to the frontsurfacewas2.0mandfromtheswimmerstoetothe back surface was 3.63 m. The swimmersmiddle line (defined as a line passing through
his/her centre of mass) was placed at a waterdepth of 0.90 m, an even distance from the top
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52 TheHydrodynamicStudyoftheSwimmingGliding
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andthebottomsurfaces(Figure2).Thedragcoefficients(Cd)andthedragforce
(Fd) were computed for speedsbetween 1.6 m/sand 2.0 m/s (with 0.1 m/s increments) in a twodimensional Fluent steady flow analysis,
according
to
equations
1
and
2:
Fd=0.5..SCd.v2 (1)
Cd=Fd/(0.5..S.v2) (2)
where Fd is the drag force, Cd is the dragcoefficient, is the fluid density, S is theprojectionsurfaceof themodelandv is the flowspeed.
Dataanalysis
Foreachpositionandspeed,dragcoefficientsand drag forces data were described andcompared. The relationshipsbetween speed anddrag coefficient,aswellas speedanddrag forcewere studied through a nonlinear fittingmathematical model, through the application ofvarious exponential equations. Added to thecomputing equations, the R2 (coefficient ofdetermination)wasalsousedasameasureofthemodelsgoodoffit.
It was assumed that total drag force
comes only from the friction and pressure dragcomponents, as the model was placed 0.90 m
underwater. Therefore, wave drag can beconsideredasnegligent,andapproximatelyclosetonullvalue.
Results
Table 1 shows the drag coefficient valuesproducedby the fourbodypositions.Thepartialcontribution of the friction and pressure dragcomponents to total drag is also presented. Thepositions with the arms extended at the frontshoweddragvalueslowerthanthepositionwiththe arms aside the trunk. The lateral positionpresented the lowest values of total drag.Moreover, the ventral and the dorsal positionsresultedinsimilardata.
Regarding each drag force component,
pressuredragwasthemainfactorresponsiblefortotaldragforce,contributingto~92%and~85%ofthetotaldrag,atthepositionwiththearmsasidethe trunk and at the positions with the armsextendedatthefront,respectively.
Figures 3 and 4 present the relationshipbetweenthedragcoefficientandspeed,aswellas,the drag force and the speed, for the differentgliding postures, respectively. For all studiedpositions, the drag coefficient values decreasedwith speed whereas the drag force values
increasedwithspeedflow.
Table1
Dragcoefficientvaluesandcontributionofpressureandfrictiondragforthetotaldrag
toeachspeedandforthefourdifferentglidingpostures
Velocity Dragcoefficient Dragcoefficient
(m/s) (Prone:armsaside thetrunk) (Prone:armsextendedatthefront)
Totaldrag%Pressure
drag%Friction
dragTotaldrag
%Pressuredrag
%Frictiondrag
1.6 1.06 92.23% 7.77% 0.92 86.13% 13.87%1.7 1.01 92.24% 7.76% 0.87 86.15% 13.85%1.8 0.95 92.29% 7.71% 0.83 86.16% 13.84%1.9 0.89 92.30% 7.70% 0.79 86.23% 13.77%2.0 0.85 92.34% 7.66% 0.76 86.24% 13.76%
(Dorsal:armsextendedatthefront) (Lateral:armsextendedatthefront)
Totaldrag%Pressure
drag%Friction
dragTotaldrag
%Pressuredrag
%Frictiondrag
1.6 0.89 85.91% 14.09% 0.57 83.87% 16.13%1.7 0.84 86.01% 13.99% 0.56 83.88% 16.12%1.8 0.80 86.07% 13.93% 0.55 83.91% 16.09%1.9 0.76 86.12% 13.88% 0.54 83.98% 16.02%2.0 0.73 86.14% 13.86% 0.53 84.05% 15.95%
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y = -0.52x + 1.887
R
2
= 0.9951
y = -0.102x + 0.7336
R2= 0.9985
y = -0.3957x + 1.5176
R2= 0.9939
y = -0.408x + 1.5666
R2= 0.9956
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.5 1.6 1.7 1.8 1.9 2.0
Prone Arms In Front
Prone Arms Aside
Lateral Arms In Front
Dorsal Arms In Front
Figure3
Relationshipbetweenthedragcoefficientandthespeedforthedifferentglidingpostures.
TheregressionequationsandtheR2valuesarealsopresented
y = 44.449x0.9307
R2= 0.9944
y = 34.64x1.1211
R2= 0.9997
y = 33.601x1.1177
R2= 0.9993
y = 16.659x1.6688
R2= 0.9998
20
30
40
50
60
70
80
90
1.5 1.6 1.7 1.8 1.9 2.0
Prone Arms In Front
Prone Arms Aside
Lateral Arms In Front
Dorsal Arms In Front
Figure4
Relationshipbetweenthedragforceandthespeedforthedifferentglidingpostures.
Theequations
and
the
R2
values
are
also
presented
Discussion
The aim of this study was to analyse theeffectinhydrodynamicdragforceswhendifferentbody positions are applied during underwaterglidingafterstartsand turns inswimming.Maindata suggested that the positions with the armsfullyextendedat the frontof thebodypresentedlowerdragvaluesthanthepositionwiththearmsaside the trunk. In addition, the lateral position
(with thearmsat the front)presented the lowesthydrodynamicdragduringunderwatergliding.
Nowadays,inbiomechanicalengineeringtheCFDtechniqueisoneofthebestmethodsusedforthe analysis of fluid flow. The CFD isbased oncomputer simulations, thus presents the
advantageoftestingseveralsituationsandallowsto obtain the best or optimal result, without
Dragcoefficient
Flowspeed(m/s)
Flowspeed(m/s)
Dragforce(N
)
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physical/experimental testing. The CFD wasdeveloped to be valid and accurate in a largescope of fluid environments,bodies and tasks,includingsports,beingscientificallyassumedthatthe CFD has ecological validity even for
swimming
research
(Bixler
et
al.,
2007;
Marinho
et
al., 2009). Bixler et al. (2007) compared thehydrodynamicdragbetweenadigitalCFDmodelofamale swimmeranda realmannequinbasedon the digital model. The authors (Bixler et al.,2007) found drag forces determined from thedigital model using the CFD approach to bewithin 4% of the values experimentallydetermined for the mannequin. Hence, the CFDallows to examine changes in the swim stroketechniqueandhowthesechangesmightaffectthe
swimmers
performance.
In
the
current
work,
we
have analysed the hydrodynamic drag sufferedby the swimmer at different underwater glidingbodypositionsthatareused inhighlevelevents,attemptingtohelpswimmersandtheircoachestoimprove performance due to decreasing dragduring this phase. This study was developedthroughapassivedraganalysis,withthebodyina fixed position, without any movements of thelimbs, position assumed during the first part ofthe gliding after the start and after pushingoff
from
the
wall
during
the
turns
(Konstantaki
&
Winter,2007).The four selected positions canbe observed
on a real swimming setting, after the starts andturns. For example, the gliding phase in frontcrawl, butterfly and the first gliding inbreaststroke (at a prone position with the armsextended at the front), the second gliding inbreaststroke (at a prone position with the armsaside the trunk), the gliding inbackstroke (at adorsal position with the arms extended at the
front)
and,
in
some
techniques/phases
during
the
gliding in front crawl (at a lateral position withthearmsextendedatthefront).
Regarding drag coefficient values, one cannote that there was an inverse relationshipbetweenthisvariableandthespeedflow.TheCddecreased as speed increased. The inverserelationshipbetween thedragcoefficientand thespeed found in the current study seems tocorrespondtowhatisreportedwithexperimentalsettingsforhumanbodiesfullyimmersed(Jiskoot
&
Clarys,
1975;
Lyttle
et
al.,
1999).
Jiskoot
and
Clarys (1975) foundCdvaluesbetween0.95and
1.0,withaslopeoftheregressionbetweentheCdand the speed of 0.17 (towing speeds rangingfrom1.5to1.9m/s).ThisdataissimilartotheonereportedbyLyttleetal.(1999), 0.16,usingspeedsrangingfrom1.6 to3.1m/s. In thecurrentstudy,
the
values
of
the
slope
of
the
regression
line
variedbetween 0.52and 0.10.Itisinterestingtonotice that the most hydrodynamic positionspresented the lowest slope values, and thesevaluesaresimilartoexperimentaldata.
CFD data and experimental data presentedquitesimilarCdvalues(Clarys,1979;Mollendorfet al., 2004). Clarys (1979) found Cd valuesbetween 0.58 and 1.04 for the humanbody in apassive towing situation. More recently,Mollendorf et al. (2004) also found in a passive
towing
approach
Cd
values
between
0.83
and
0.90.Ourdatarangedfrom0.53to1.06.However,ifweonlyreportedtotheproneposition(similarto the one usedby Mollendorf et al., 2004) theCFD data are very similar to experimental data(Cdvaluesrangedfrom0.76to0.92).
Nevertheless, the current CFD data stillpresented somedifferenceswith theCFD resultsobtainedby Bixler et al. (2007), using a threedimensional model of the human body. Theseauthors reported Cdvalues of0.302,0.300,0.298
and
0.297
for
speeds
of
1.5,
1.75,
2.0
and
2.25
m/s,
respectively. Probably, differencesbetween twoand threedimensional models lead to thesedifferences. Additionally, one can add thedifferent methodology to acquire the digitalmodel.Bixler etal. (2007)carriedout laser scansofamaleswimmertoobtaintheboundariesofthehumanbody; whereas in this study the modelwasdesignedinCAD.
Concerning the values of drag force,MiyashitaandTsunoda(1978)reporteddragforce
values
of
35.3
N
for
females;
whereas
Clarys
(1979) presented values of 51.9 N for malenational level swimmers, similar to the onesfound in thecurrentresearch.Lyttleetal. (1998),at a lower velocity studied (1.6m/s), and at adeepertowingpositiontheystudied(0.6mdeep),also reported values for male swimmers withinthisrange(58.1N).
Ourresultsarealsosimilartotheonesfoundby Bixler et al. (2007) using a CFD approach.These authors found drag force values of 31.58,
42.74,
55.57
and
70.08
N
for
speeds
of
1.5,
1.75,
2.0
and2.25m/s,respectively,withthehumanmodel
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atapronepositionwiththearmsextendedatthefront.Inthispositionwefounddragforcevaluesfrom 58.7 to 75.4 N for speeds rangingbetween1.6and2.0m/s.
Itwasalsofoundthatthebodypositionwith
the
arms
fully
extended
at
the
front
presented
lowerCdvalues than thebodypositionwith thearms aside the trunk. Furthermore, the lateralposition presented much lower Cd values incomparison to others. The prone and the dorsalpositions (both with the arms extended at thefront)presentedsimilardata.
Theanalysisof thepassivedragwasoneofthe first applications of biomechanics inswimming.Thepositionwith thearms extendedat the front was the most studied position. This
position
is
mostly
accepted
by
the
swimming
technical and scientific communities as the mosthydrodynamic one,being called the streamlinedposition (Guimares & Hay, 1985; Goya et al.,2003). The values found in this study seemed tocorroboratetheassumption.Thepositionwiththearmsfullyextendedatthefrontseemstosmooththe anatomical shape especially at the head andshoulders. This could be explained by thecompressiveeffectovertheshouldersandchestwidth producedby the extended arms and may
be
one
of
the
main
determining
factors
associated
toareduceddraginthesebodypostures.Thus,itseems possible to stress that, afterbreaststrokestarts and turns, the first gliding position isbiomechanically preferable compared to thesecond one. For this reason swimmers andcoachesshouldallowittoprevail,andshouldalsostresstheneedofbodypositioncontrolduringitsexecution (VilasBoas, 2010). This aim shouldbeaccomplished to decrease drag and thus toimproveglidingperformance.
Regarding
the
positions
with
the
arms
extended at the front, the lateral positionpresented the lowest values of hydrodynamicdrag.This finding isnotquite simple toexplain.Firstly,thereareascarcenumberofpapersintheliteratureanalysingpassivedragatdifferentbodypositions.Secondly,theuseofatwodimensionalmodel can lead to some misinterpretation of theresults and to not truly correspond to whathappensinrealswimmingconditions.
Similar values between prone and dorsal
positions,
both
with
the
arms
extended
at
the
front, seemed to be expected, since the
hydrodynamic profiles of each position aresimilar. However, in the lateral position, themodellingofatwodimensionalmodelseemedtodetermine theobtained data.Counsilman (1955),just like Jiskoot and Clarys (1975), using
experimental
approaches,
analysed
prone
and
lateral towing positions. Nevertheless, theirfindingswerecontradictoryforspeedslowerthan1.8 m/s. For higher velocities, both studiesreportedhighervaluesofhydrodynamicdragforthelateralposition.Inthecurrentstudythelateralpositionpresentedlowervaluesofdragforallthestudied speeds (1.62.0 m/s). The analysis of thehydrodynamic profile could explain this result.Asonecannote inFigure1,thebody inalateralposition lead to a better hydrodynamic body
position,
with
the
arms
and
hands
at
the
front
assumingadropofwatershape,situation thatdoesnotoccurintheothertwopositionswiththearmsextendedat the front.Thisdropofwatershape seems tobe the one that allows abetterhydrodynamicprofile,reducingpressuregradientaround the body (Vogel, 1994). Indeed, thereferreddropofwatershapeismoresimilartoother hydrodynamic shapes contributing to asmoother water flow around the human body(Massey,1989).Dropofwatershapekeeps the
boundary
layer
more
time
attached
to
the
swimmers body surface. Thus, it delays theseparation to a rear point of thebody surface(Polidorietal.,2006).
The CFD also allowed to quantify thecomponents of hydrodynamic drag and toevaluate the contribution of each one. Thecomputed drag components showed that thepressuredragwasdominantinallbodypositions.However, friction component cannot benegligible,since itrepresented16%,14%,and8%
in
the
lateral
position,
in
the
dorsal
and
prone
positions,andinthepronepositionwiththearmsaside the trunk, respectively. The largercontribution of the friction component in thepositionswiththearmsextendedatthefrontmayberelatedwiththemosthydrodynamicprofileofthis position during the gliding. This positionallowsthebodytobemoreextendedinthewater,favouring the elongated position, which mayallow both an increase of body length andslenderness,whichreducesthepressuredragand
may
increase
friction
drag
(Vogel,
1994).
Another situation could occur if the
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swimmer were at the waters surface (Nicolas &Bideau,2009). In the current study the swimmermodel was placed underwater (0.90 m deep). Inthis sense, we did not consider the wave dragcomponent since Lyttle et al. (1999) concluded
that
there
was
no
significant
wave
drag
contribution immersed at least 0.6 m. Therefore,during an underwater gliding more close to thesurface the contribution of friction componentwouldbereducedduepossiblytothedecreaseofthewettedareaand thegenerationofwavedrag(Bixler et al., 2007). This concern seems torepresentaninterestingideatodevelopinfurtherCFDresearch.
Themainlimitationsofthisstudyinclude:(i)the analysis of a passive drag situation; the
findings
of
this
study
must
be
read
with
caution,
because we only analysed a passive dragsituation. In the future, the development of thismethodologymustconsiderthebodymovementsin the CFD domain, analysing, for instance, the
second partof theglidingwhen the swimmer iskicking, allowing to study the total underwaterphase(Konstantaki&Winter,2007);(ii)theuseofatwodimensionalmodel.Theuseofasimplifiedmodelofthehumanbodydoesnotallowadirect
transfer
of
these
data
into
a
practical
situation.
In
furtherresearch,thisaimshouldbeaccomplishedusing threedimensional models of the humanbody(Bixleretal.,2007).
As a conclusion, one can state that thepositionswiththearmsfullyextendedatthefrontseem to substantially reduce the negativehydrodynamic effects of the human bodymorphology:abodywithvariouspressurepointsdue to the large changes in its shape. Thus, thisposture performed at the lateral position should
be
the
one
adopted
after
the
starts
and
turn
phases of a competitive swimming event. Forinstance, considering the breaststroke turn, thefirstgliding,performedwiththearmsatthefront,must be emphasized in relation to the secondgliding,performedwiththearmsalongthetrunk.
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Correspondingauthor:
DanielA.Marinho
UniversidadedaBeiraInterior,DepartamentodeCinciasdoDesporto.RuaMarqusdvilaeBolama.6201001Covilh,PortugalPhone:+351275329153.
Fax:
+351275320695.
Email:[email protected]