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7/28/2019 2004 Paper ACMD JPombo JAmbrosio
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Copyright 2004 by KSME
A COMPUTATIONAL EFFICIENT GENERAL WHEEL-RAIL CONTACT DETECTION METHOD
Joo PomboIDMEC Instituto Superior TcnicoAv. Rovisco Pais 1
1049-001 Lisboa, PORTUGALEmail: [email protected]
Jorge AmbrsioIDMEC Instituto Superior TcnicoAv. Rovisco Pais 1
1049-001 Lisboa, PORTUGALEmail: [email protected]
ABSTRACTThe development and implementation of an appropriate
methodology for the accurate geometric description of trackmodels is proposed in the framework of multibody dynamicsand it includes the representation of the track spatialgeometry and its irregularities. The wheel and rail surfacesare parameterized to represent any wheel and rail profilesobtained from direct measurements or design requirements.A fully generic methodology to determine, online during thedynamic simulation, the coordinates of the contact points,even when the most general three dimensional motion of thewheelset with respect to the rails is proposed. Thismethodology is applied to study specific issues in railwaydynamics such as the flange contact problem and lead andlag contact configurations. A formulation for the descriptionof the normal contact forces, which result from the wheel-railinteraction, is also presented. The tangential creep forces andmoments that develop in the wheel-rail contact area are
evaluated using: Kalker linear theory; Heuristic forcemethod; Polach formulation. The methodology isimplemented in a general multibody code. The discussion issupported through the application of the methodology to therailway vehicle ML95, used by the Lisbon metro company.
1. INTRODUCTIONIn railway vehicle dynamics, the wheel-rail interaction
plays a crucial role since the railway vehicle is guided bythe forces generated by such contact. The problems toconsider when studying the wheel-rail contact are:
a) The contact geometry, i.e., the problem of determiningthe location of the contact point on the profiled surfacesusing geometric contact constraints.
b) The contact kinematics, i.e., the problem of defining thecreepages at the point of contact.
c) The contact mechanics, i.e., the problem of determiningthe tangential creep forces and the spin creep moment.
Several authors (Kalker, 1990; Polach, 1999; Kik, 1996)studied the contact forces between the wheel and the railmaking available several computer routines for thecalculations of the tangential forces at the contact pointgiven the normal force and the relative velocities between
the contacting bodies (Kalker, 1990; Polach, 1999). Theproblem here is reduced to provide descriptions of thesurfaces in contact and of the kinematics of the bodies.
The track centerline geometry may be described bydifferent types of parametric curves such as cubic, Akima orshape preserving splines. The track description adopted usesFrenet frames that provide the appropriate referential atevery point and the definition of the cant angle variationalong the railway. A pre-processor is used to define thenominal geometry of both left and right rails based on theinterpolation of a discrete number of points, which arerepresentative of their space curves (Pombo, 2003a,b). Forthe complete representation of the track geometry, both railsare considered separate geometric entities. For efficiency, apre-processor generates a table with all track position dataand other quantities required for the multibody code asfunction of the left and right rail lengths. During a dynamicsimulation the program interpolates linearly both rails
databases to obtain the information necessary to find thewheel/rail interaction. The coordinates of the contact pointsare evaluated during the dynamic analysis by introducingsurface parameters that describe the geometry of the rail andwheel contact surfaces, each described by two surfaceparameters (Pombo, 2003b). The methodology allows theexistence of two or more points of simultaneous contactbetween the wheel and the rail in the wheel tread or flange.
The normal contact forces that develop in the wheel-railinterface are calculated using the Hertz contact force modelwith hysteresis damping to account for the dissipation ofenergy during contact (Lankarani, 1994). The creepages, or
normalized relative velocities at the contact point, are usedwith the normal contact force to determine the creep forcesand the spin creep moment. Three different methodologiesare implemented in order to calculate these tangential contactforces. These are the Kalker linear theory (Kalker,1979,1990), the Heuristic nonlinear creep force model (Shen,1983) and the Polach formulation (Polach, 1999).
The methodologies proposed here are implemented ina general multibody code that is used for the dynamicanalysis of rail-guided vehicles. Finally, the computer codeis applied to the study of a railway vehicle in what itsdynamics and stability is concerned.
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2. PARAMETERIZATION OF RAILWAY TRACK
A pre-processor program defines the track model as twoparameterized curves that represent the nominal geometry ofthe left and right rails space curves. Parametric track
descriptions using different types of splines are available(Pombo, 2003c). The information is organized in twodatabases where all quantities, necessary to define the railscurves, are function of the arc length of each rail, measuredfrom their origin. The methodology is summarized as:a) The geometry of the track centerline is parameterized
using a piecewise cubic interpolation scheme.b) The track cant angle is parameterized as function of the
track length.c) The track centerline is also parameterized as function of
the track length (Pombo, 2003c).d) The track irregularities, measured experimentally, are
parameterized as continuum functions of the track lengthe) Define a set of control points that are representative of
the left and right rails space curves.f) Parameterize the rails space curves as a function of the arc
lengths. Account for the track cant angle and rail inclination.g) Create a database for each rail, stored with a small track
length step.A schematic representation of the methodology used
in the railway pre-processor is presented in Figure 1. Theinterested reader is referred to the work of Pombo andAmbrsio (2003a,b).
InputData to Parameterize theTrackCenterline withP iecewiseCubic Interpolation
x y z
User
InputData to Parameterize theTrackIrregularities
L ALLr ALRr LLLr LLRr h G
Parameterization
CubicSplinesParameterizationAkimaSplines
ParameterizationShape Preserve
ParameterizationCubicSplines
TrackCenterline ParameterizedasFunctionof theTrackLength
TrackIrregularitiesP arameterizedas Functionof the TrackLength
Obtainthe Nodal Points thatDefine the
SpaceCurves for the Leftand RightRails
ParameterizationCubicSplines
ParameterizationAkimaSplines
ParameterizationShape Preserve
Leftand RightRailsSpaceCurves
Parameterizedas Functionof theArc Lengths
TrackCantAngleParameterized asFunctionof theTrackLength
RIGHT RAIL DATABASE
L x y z tx ty tz nx ny nz bx by bz.. .. .. .. .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. .. .. .. ..
.. .. .. .. .. .. .. .. .. .. .. .. ..
LEFT RAIL DATABASE
L x y z tx ty tz nx ny nz bx by bz.. .. .. .. .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. .. .. .. ..
.. .. .. .. .. .. .. .. .. .. .. .. ..
InputData to Parameterize theTrackCenterline withP iecewiseCubic Interpolation
x y z
UserUser
InputData to Parameterize theTrackIrregularities
L ALLr ALRr LLLr LLRr h G
Parameterization
CubicSplinesParameterizationAkimaSplines
ParameterizationShape Preserve
ParameterizationCubicSplines
TrackCenterline ParameterizedasFunctionof theTrackLength
TrackIrregularitiesP arameterizedas Functionof the TrackLength
Obtainthe Nodal Points thatDefine the
SpaceCurves for the Leftand RightRails
ParameterizationCubicSplines
ParameterizationAkimaSplines
ParameterizationShape Preserve
Leftand RightRailsSpaceCurves
Parameterizedas Functionof theArc Lengths
TrackCantAngleParameterized asFunctionof theTrackLength
RIGHT RAIL DATABASE
L x y z tx ty tz nx ny nz bx by bz.. .. .. .. .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. .. .. .. ..
.. .. .. .. .. .. .. .. .. .. .. .. ..
LEFT RAIL DATABASE
L x y z tx ty tz nx ny nz bx by bz.. .. .. .. .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. .. .. .. ..
.. .. .. .. .. .. .. .. .. .. .. .. ..
Figure 1. FLOWCHART OF THE RAILWAY PRE-PROCESSOR.
3. WHEEL AND RAIL SURFACESThe definition of the wheel and rail needs to satisfy
three main requirements. First, the surfaces have to bedefined in a global coordinate system. Second, theparametric equations must be able to represent any spatial
configuration of the wheelsets and rails. Third, therepresentation of any wheel and rail profiles, obtained bymeasurements or design requirements, must be possible.
Let two sets of independent surface parameters beused to define the geometry of each of the wheel and rail incontact be Sr and ur, for the rail surface geometry, and Swand uw, for the wheel surface, as shown in Figure 2. Theposition vector of a contact point Q, in the wheel or railbody fixed coordinates systems, is function of the surfaceparameters only
where the subscripts (.)r and (.)w are referred to the rail andto the wheel respectively whereas the subscript (.)ws arereferred to the wheelset.
In order to account for any possible scenarios, such asa variation in the gauge or relative displacements and/orrotations of the rails due to the track irregularities, it isnecessary to define the surface of each rail independently,as depicted by Figure 3, where subscripts (.)Lr and (.)Rr arereferred to the left and right rails respectively.
Q
( )w wf u
w
r
r
ru
( )r rf u
wu
w
rs Q
ws
ws
ws
w
w
Q
( )w wf u
w
r
r
ru
( )r rf u
wu
w
Q
( )w wf u
w
r
r
ru
( )r rf u
wu
w
rs Q
ws
ws
ws
w
w
rs Q
ws
ws
ws
w
w
Figure 2. WHEEL AND RAIL SURFACE PARAMETERS.
( ), ; ,l l l ls u l r w= =u u (1)
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x
P
z
y
Track centerlineRight rail
space curveLeft rail
space curve
Q
Rr
Rr
Rr
rRrG
rPG
Rrs
Lr
Lr
Lr
Lrs
Rr
P
Rr
sRRrG
( )r Rrf uRrs
nG
RrstG
Rr
Rru
r
Nodal Points
r ru
x
P
z
y
Track centerlineRight rail
space curveLeft rail
space curve
Q
Rr
Rr
Rr
rRrG
rPG
Rrs
Lr
Lr
Lr
Lrs
x
P
z
y
Track centerlineRight rail
space curveLeft rail
space curve
Q
Rr
Rr
Rr
rRrG
rPG
Rrs
Lr
Lr
Lr
Lrs
P
z
y
Track centerlineRight rail
space curveLeft rail
space curve
Q
Rr
Rr
Rr
rRrG
rPG
Rrs
Lr
Lr
Lr
Lrs
Rr
P
Rr
sRRrG
( )r Rrf uRrs
nG
RrstG
Rr
Rru
r
Nodal Points
r ru
Rr
P
Rr
sRRrG
( )r Rrf uRrs
nG
RrstG
Rr
Rru
r
Nodal Points
r ru
Figure 3. PARAMETRIZATION OF THE RAIL SURFACE.
Let a profile coordinate system be defined on each railto identify the position and orientation of any cross sectionalong the rail space curve and P be a point of contact withthe wheel. The right profile coordinate system (Rr,Rr,Rr),shown in Figure 3, translates along a rail space curve androtates about its origin. The location of the profilecoordinate system along the space curve can be defined in
such a way that the contact point P lies in its (Rr,Rr) plane.The location of the origin and the orientation of the rightrail profile coordinate system, defined respectively by thevectorrRr and the transformation matrix ARr, are uniquelydetermined using the surface parameterSr (Berzeri, 2000).The location of the contact point P on the rail surface is
+ 'P PRr Rr Rr=r r A s (2)
where 'PRrs is the position vector that defines the location
of the contact point P on the profile coordinate system. Thetransformation matrix ARr is a function of the unit vectorsthat define the moving reference frame associated to the
right rail space curve. In railway applications, the functionfrthat defines the rail profile is a function of the surfaceparameterur using a piecewise cubic interpolation scheme(De Boor, 1978). Hence, to obtainfr(ur), the user only has todefine a set of control points that are representative of the railprofile geometry, as shown in Figure 3.
The detection of the location of the contact pointsbetween two parametric surfaces requires the definition ofthe normal vector to the rail surface nrs at the point of contact
'Rrs Rr Rrs=n A n (3)
ws
z
y xQ
Left wheel
ws
ws
rwsGsQLw
G
rQG
Lw
Lw
Lw
hLw
G
Lwu
Lws ws
z
y xQ
Left wheel
ws
ws
rwsGsQLw
G
rQG
Lw
Lw
Lw
hLw
G
Lwu
Lws
Figure 4.PARAMETRIZATION OF THE WHEEL SURFACE
where nRrs={0, cosRrs, sinRrs}T is the unit vector normal to
the rail surface, defined in the profile coordinate system.This vector is obtained through the contact angle Rrs,shown in Figure 3. The contact angle is
( )1tg r RrRrsRr
df u
du
=
(4)
The surface of revolution of each wheel is generatedby a complete rotation, about the wheel axis, of the two-dimensional curve that defines the wheel profile (Shabana,2001). Figure 4 shows the left wheel with arbitrary surface
profile assembled in a wheelset. The surface geometry ofthe wheel is described using the two surface parameters Swand uw that represent the rotation of the wheel profilecoordinate system (w,w,w) with respect to the wheelsetcoordinate system (ws,ws,ws), and the lateral position ofthe contact point in the wheel profile coordinate system.The location of the origin and the orientation of thewheelset frame are defined by vector rws and matrix Aws.The global position of an arbitrary point on the wheel is
where { }120 0T
LwH=h is the local position vector
that defines the location of the profile coordinate systemwith respect to the wheelset reference frame, being H thelateral distance to the wheel profile origin. 'Q
Lws and 'P
Rws
are the local position vectors that define the location of thecontact points Q on the wheel surfaces with respect to theprofiles coordinate systems, i.e.
( )+ + 'Q QLw ws ws Lw Lw Lwr r A h A s (5)
( ){ }' 0TQ
Lw Lw w Lwu f u=s (6)
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Concave
Region
w
w
w
Flange Nodal
PointsTread Nodal
Pointsw
u
( )fw wf u( )t
w wf u
w
Left
wheel
Rw
Rw
Rw
Rwu
2t
LwtG
t
Lw ( )
f
w Lwf u
( )tw Lwf u
1t
LwtG
2f
LwtG
fLw
1f
LwtG
Concave
Region
w
w
Concave
Region
w
w
w
Flange Nodal
PointsTread Nodal
Pointsw
u
( )fw wf u( )t
w wf u
w
w
Flange Nodal
PointsTread Nodal
Pointsw
u
( )fw wf u( )t
w wf u
w
Left
wheel
Rw
Rw
Rw
Rwu
2t
LwtG
t
Lw ( )
f
w Lwf u
( )tw Lwf u
1t
LwtG
2f
LwtG
fLw
1f
LwtG
Left
wheel
Rw
Rw
Rw
Rwu
2t
LwtG
t
Lw ( )
f
w Lwf u
( )tw Lwf u
1t
LwtG
2f
LwtG
fLw
1f
LwtG
Figure 5. WHEEL PROFILE AND PARAMETRIZATION
To use the multibody contact model to solve theproblem of wheel-rail contact it is necessary to devise astrategy to determine the location of the contact pointsbetween two parametric surfaces. This formulation requiresthat the parametric surfaces are convex. Therefore, thewheel profile is represented by two independent functions
t
wf and f
wf that parameterize the wheel tread and flange,
respectively. The search for the location of the contact
points requires the definition of two tangent vectors to thewheel surface, tw1 and tw2, at the point of contact
where 1 {1 0 0}l T
Lw =t and 2 {0 cos sin }
l l l T
Lw Lw Lw =t . The
quantities with superscripts (.)t and (.)f are referred to thewheel tread and flange respectively. The contact angle is
4. WHEEL-RAIL CONTACT MODELThe location of the contact points between the wheel and
the rail is complicated since both are profiled. Furthermore, thelarge amount of parameters that include the shape of thesurfaces in contact, relative contact velocities, contact forces,and physical properties of the materials, unavoidably lead tocomplex theories to find the contact forces.
t sjG
x
z
y
(j)
(i)
t tjG
t wiG
dG
n jG
ni
G
( )p ,u wG
( )q ,s tG
tu
i
G
t sjG
x
z
y
(j)
(i)
t tjG
t wiG
dG
n jG
ni
G
( )p ,u wG
( )q ,s tG
tu
i
G
Figure 6. CONTACT POINTS ON TWO SURFACES
4.1 Wheel-Rail Contact DetectionConsider two generic surfaces i and j depicted in
Figure 6 defined by the parametric functions p(u,w) andq(s,t), respectively. The minimum distance between the twopatches p(u,w) and q(s,t) is given by
( ) ( ), ,u w s t = d p q (9)
The tangent vectors ui
t , wi
t , sjt andt
jt to theparametric surfaces, shown in Figure 6, are defined as:
( ) ( ) ( ) ( ), , , ,; ; ;u w s t i i j j
u w u w s t s t
u w s t
= = = =
p p q qt t t t (10)
The normal unit vectors to the parametric surfaces,are
;s tu wj ji i
i ju w s t
i i j j
= =t tt t
n nt t t t
(11)
For the wheel-rail contact problem the equations thatdefine the candidates to contact points, represented insituations Figure 7 (a), (b) and (c)II, arei) The surfaces normals ni and nj at the candidates to
contact points have to be parallel:
0
0
T u
j i
j i T wj i
= =
=
n t
n n 0 n t (12)
ii) The vectord has to be parallel to the normal vectorni:
iii) The contact condition specifies that:
1 1' ; ,l l
Lw ws Lw Lwl t f= =t A A t
2 2' ; ,l l
Lw ws Lw Lwl t f= =t A A t
(7)
( )1tg ; ,l l
w Lwl
Lw l
Lw
df ul t f
du
= =
(8)
0
0
T u
i
i T w
i
= =
=
d td n 0
d t (13)
0Tj d n (14)
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(j)
(i)njG
niGd = 0
G G
(j)
I II III
(i)
d = 0G G
njG
niG
d = 0G G
dG
njG nj
G
niG
niG
njG ni
G
(j)
(i) dG
(j)
(i)njG
niGd = 0
G G
(j)
(i)
(j)
(i)njG
niGd = 0
G G
(j)
I II III
(i)
d = 0G G
njG
niG
d = 0G G
dG
njG nj
G
niG
niG
(j)
I II IIII II III
(i)
d = 0G G
njG
niG
d = 0G G
dG
njG nj
G
niG
niG
njG ni
G
(j)
(i) dG
njG ni
G
(j)
(i) dGdG
Figure 7. A) NO CONTACT; B) CONTACT AT A SINGLE POINT; C)
CONTACT WITH PENETRATION
The geometric conditions in equations (12) and (13) are
four nonlinear equations with four unknowns, which are thesurfaces parameters u, w, s and t. In the computationalimplementation, the information of a previous time step isused as initial estimate for the solution search of the equations.
4.2 The Two Point Contact ScenarioMore than one pair of contact points can develop
between the wheel and the rail wheel, as shown in Figure 8.Let two different functions t
wf andf
wf parameterize, thewheel tread and flange, respectively, as shown in Figure 5.The formulation used to look for the candidates to contactpoints is fully independent for the wheel tread and for thewheel flange surfaces.
Flange contact(Lead contact)
Treadcontact
Flange contact(Lead contact)
Treadcontact
t
Rrs
f
Rrs
f
Rws
0tRw
s =
f
Rw
tRw ws
f
Rw
t
Rw ws
Flange contact(Lead contact)
Treadcontact
Flange contact(Lead contact)
Treadcontact
Flange contact(Lead contact)
Treadcontact
t
Rrs
f
Rrs
f
Rws
0tRw
s =
f
Rw
tRw ws
f
Rw
t
Rw ws
Flange contact(Lead contact)
Treadcontact
t
Rrs
f
Rrs
f
Rws
0tRw
s =
f
Rw
tRw ws
f
Rw
t
Rw ws
t
Rrs
f
Rrs
f
Rws
0tRw
s =
f
Rw
tRw ws
f
Rw
t
Rw ws
Figure 8. LEAD AND LAG CONTACT IN WHEEL-RAIL
This methodology allows finding multiple wheel-railcontact points locations and to study the lead and lag contactconfigurations. Since the methodology used to look forcandidates to contact points is fully independent for thewheel tread and for the wheel flange, the contact point in the
flange does not have to be located in the same plane as thecontact point in the wheel tread, as shown in Figure 8. Thisallows the analysis of derailment or of the effect of switches.
4.3 Normal Contact Forces in the Wheel-RailThe normal contact forces are calculated using the
contact force model proposed by Lankarani and Nikravesh(Lankarani, 1995), which requires the amount of penetration,the relative velocity between the contact point and thematerial properties of the wheel and rail. The direction of thenormal forces is determined from the wheel and rail profile
data. The evaluation of the normal contact force is
( )2 n( )
3 1= 1+
4
eN K
(15)
where is the indentation, n=1.5 is the parameter used formetal to metal contact, K is the Hertzian constant thatdepends on the surface curvatures and the elastic propertiesof contacting bodies, e is the coefficient of restitution, isthe velocity of indentation and ( ) is the velocity ofindentation at the initial instant of contact, both evaluated as
the projection of the relative velocity vector of the point ofcontact on the vector normal to the contact surfaces.
4.4 Tangential Contact ForcesKnowing the normal contact forces that develop
between the wheel and rail and the creepages, i.e., therelative velocities, it is possible to calculate the tangentialcontact forces using one of the models available in theliterature. Three models are presented here in order to allowfor a comparative study between them to be developed.
The Kalker Linear evaluates the longitudinal F andlateral F components of the creep force and the spin creep
momentM, that develop in the wheel-rail contact region as
11
22 23
23 33
0 000
cF
F G ab c ab c
M ab c ab c
=
(16)
where G is the combined shear modulus of rigidity of wheeland rail materials and a and b are the semi-axes of thecontact ellipse. The parameters cij are the Kalker creepageand spin coefficients, obtained in references (Kalker, 1990;Garg, 1984). The quantities , and represent the
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longitudinal, lateral and spin creepages at the contact point,respectively. For sufficiently small values of creep and spin,the linear theory of Kalker is adequate to determine the creepforces. For larger values, this formulation is no moreappropriated since it does not include the saturation effect of
the friction forces, i.e., it does not assure that F N .The Heuristic Nonlinear Force Model involves
calculating the creep force expected from the Kalker lineartheory and modifying it by a factor that takes into accountthe limiting creep force (Shen, 1983). First, the resultantcreep force of Kalker linear theory is calculated
2 2F F F = + (17)
where the notation (.) now means that the quantities areobtained with the Kalkers linear theory. The limiting
resultant creep force is determined by:2 3
1 1if 3
3 27
1 if 3
F F FF N
F N N N N
F N
+ = >
(18)
where is the friction coefficient. The new resultant creepforce F is used to calculate the tangential forces as:
;F F
F F F F F F
= =
(19)
In the Heuristic method the spin creep moment M isneglected. This theory gives more realistic values for creepforces outside the linear range than the Kalkers lineartheory. For high values of spin, the Heuristic theory canlead to unsatisfactory results (Andersson, 1998).
In the Polach Nonlinear Force Model the longitudinaland lateral components of the creep force are (Polach, 1999)
; SC C C
F F F F F
= = + (20)
where F is the tangential contact force caused bylongitudinal and lateral creepages, C is the modified
translational creepage, which accounts the effect of spincreepage, and FS is the lateral tangential force caused byspin creepage. The Polach algorithm takes, as input, thecreepages , and , the normal contact force N, thesemi-axes a and b of the contact ellipse, the combinedmodulus of rigidity of wheel and rail materials G, thefriction coefficient and the Kalker creepage and spincoefficients cij. The Polach algorithm is suitable to studythe tangential contact forces that develop in the wheel-railinterface. This method allows the calculation of fullnonlinear creep forces and takes spin into account.
5. APPLICATION TO A RAILWAY VEHICLEThe ML95 trainset, shown in Figure 9, is used by the
Lisbon metro company (ML). The ML95 trainset is anelectrical three-car unit composed of two powered endvehicles with driving cabs, and a intermediate vehicle,
represented in Figure 10.
Figure 9. THE ML95 TRAINSET.
Each ML95 trailer vehicle is composed of one carbodywhere the passengers travel, supported by two bogiesthrough the secondary suspension, which is set to minimizethe vibrations induced by the track on the passengercompartment. The bogies are the subsystems that, throughthe wheelsets, are in contact with the track and include theprimary suspension, which is the main responsible for thesteering capabilities and stability behavior.
Trailer Motor
Figure 10. SCHEMATIC REPRESENTATION OF THE ML95.
Each trailer bogie of the ML95 consists of one frame,two wheelsets, four axleboxes and the mechanical elementsthat compose the primary suspension. The bogie frame issupported by the axleboxes through eight metal-rubbersprings of the Chevron type. The vertical displacementsof the primary suspension are limited by bumpstops andliftstops, shown in Figure 11.
Axlebox
ChevronspringsLiftstop
Bumpstop
WheelsetBogieframe
Axlebox
ChevronspringsLiftstop
Bumpstop
WheelsetBogieframe
Figure 11. PRIMARY SUSPENSION OF THE TRAILER BOGIE.
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Airspring
Vertical damperLiftstop Bogie frame
Carbody Airspring
Vertical damperLiftstop Bogie frame
Carbody
Figure 12. SECONDARY SUSPENSION OF THE TRAILER BOGIE.
The trailer vehicle carbody is supported by fourairsprings, and with each one there is a vertical Chevronbumpstop assembled in series. In parallel with the airsprings,four vertical hydraulic dampers and four vertical liftstopsdevices, shown in Figure 12, are mounted. The connectionbetween the carbody and each bogie is done by a shaft,
which guarantees an appropriate and stable rotation of thebogie with respect to the carbody. The mechanical elementsthat assure the connection between each bogie and thecarbody are mounted between a center plate and the bogieframe, as shown in Figure 13.
Centerplate
Transversalbumpstop
Tractionrod
Transversaldamper
Pivot shaftsupport
Bogieframe
Centerplate
Transversalbumpstop
Tractionrod
Transversaldamper
Pivot shaftsupport
Bogieframe
Figure 13. BOGIE-CARBODY CONNECTION OF THE VEHICLE.
The transmission of traction and braking effortsbetween each bogie and the carbody is done by traction rods.The lateral stabilization of the carbody needs two transversalhydraulic dampers, between the center plate and bogie frame.The characteristics of the ML95 trainset are shown in Table 1.
The model of the railway vehicle leads to representationof the multibody model shown in Figure 14. The mass andinertia properties of system components have been suppliedby the manufacturer company. For bodies with no dataavailable, the mass and inertia properties are estimated based
on their geometry. The location and type of kinematic jointsis also obtained with the manufacturers information.
The first simulation scenario used to apply themethodology developed corresponds to a straight track withno irregularities in which a vehicle with new wheels runs.The starting position of the vehicle is such that the model ismisaligned by 2 mm relative from the track centerline. Theresults of the simulation, for several velocities, arerepresented by the lateral displacements of the wheelsetspresented in Figure 15. In all cases the Polach formulationhas been used to calculate the creep forces.
Table 1. MAIN CHARACTERISTICS OF THE ML95 VEHICLE
Traffic velocity range 40 60 Km/hMinimum curve radius on track 60 mTrack gauge 1.435 mWheel rolling radius new 0.43 mBogie wheelbase 2.1 mBogie center distance 11.1 mWheelset weight 1109 KgBogie weight 4200 KgWeight of the carbody 11160 KgFloor height 1.155 mVehicle height 3.523 mVehicle width 2.789 mVehicle length 15.30 m
Rear Wheelset
(Rigid body)
Rear Bogie
Carbody (Rigid body)
Revolutejoints
Rear Axleboxes
(Rigid body)
PrimarySuspension
Rear Bogie Frame(Rigid body)
Front Wheelset
(Rigid body)
Revolutejoints
Front Axleboxes
(Rigid Body)
PrimarySuspension
Secondary
Suspension
Front
Bogie
Rear Wheelset
(Rigid body)
Rear Bogie
Carbody (Rigid body)
Revolutejoints
Rear Axleboxes
(Rigid body)
PrimarySuspension
Rear Bogie Frame(Rigid body)
Front Wheelset
(Rigid body)
Revolutejoints
Front Axleboxes
(Rigid Body)
PrimarySuspension
Secondary
Suspension
Front
Bogie
Figure 14. VEHICLE MULTIBODY MODEL.
It is observed that for vehicle forward velocities under60 m/s the wheelset undergoes lateral decaying oscillationsand returns to the center of the track. This indicates a stablerunning of the vehicle. At sufficiently high speeds, 70 m/sfor instance, the lateral oscillations increase and the vehiclederails. By running the vehicle at intermediate speeds it isobserved that the critical speed of the vehicle is 60.5 m/s.
-0.009
-0.006
-0.003
0.000
0.003
0.006
0.009
0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300
Traveled Distance [m]
LateralDisplacement[m]
V =30 m/s (108 Km/h) V =50 m/s (180 Km/h)V =60 m/s (216 Km/h) V =70 m/s (252 Km/h)
Figure 15. LATERAL DISPLACEMENT OF THE FRONT WHEELSET.
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23750
23800
23850
23900
23950
24000
24050
24100
24150
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5
Time [s]
VerticalWheelForce[N]
Left Wheel (Kalker)
Left Wheel (Heuristic)
Left Wheel (Polach)
Figure 16. VERTICAL FORCES ON ONE WHEEL FOR A VEHICLE
VELOCITY OF 50 M/S FOR THE THREE CREEP MODELS
To appraise the difference between the different forcemodels, several vehicle simulations are done for a velocity of
50 m/s. The results for the vertical and lateral wheel forcesare represented in Figures 16 and 17, respectively. It isobserved that for all creep models the results obtained aresimilar. This is expected results since there are no highcreepages at the speeds considered.
To evaluate the performance of different creep modelsthe vehicle is simulated, for velocities of 10 and 20 m/s, ina scenario where the track has a curved geometry, as shownin Figure 18. The dashed lines represent transition segmentswith 50 m. For both simulation velocities the contact forcesobtained with Kalker linear theory lead to the lift of theouter wheel of the front wheelset, as shown in Figure 19.Derailment does not occur due to the flange contact. Since
high creepages are involved the Kalker linear theory isinappropriate to compute the creep forces. It is suggestedthat for cases that involve curved tracks or running speedscloser to the critical speeds the Heuristic or the Polachcreep force models should be selected. Based on resultsnot shown in this paper, due to space restrictions, it can beshown that the Polach nonlinear force model is superior,and more efficient from the computational point of view,than the other two force models considered.
-400
-300
-200
-100
0
100
200
300
400
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5
Time [s]
LateralWheelForce[N]
Left Wheel (Kalker) Right Wheel (Kalker)
Left Wheel (Heuristic) Right Wheel (Heuristic)
Left Wheel (Polach) Right Wheel (Polach)
Figure 17. LATERAL FORCES ON ONE WHEEL FOR A VEHICLE
VELOCITY OF 50 M/S FOR THE THREE CREEP MODELS
1 125L m=
2 100L m=
3 125L m=
200R m=
1 125L m=
2 100L m=
3 125L m=
200R m=
Figure 18. CURVED TRACK GEOMETRY
Figure 19. LIFTING OF THE RIGHT FRONT WHEEL WHEN USING
THE KALKER LINEAR THEORY
Another aspect worth checking concerns the differentparametrization schemes for the rail curves. All results ofthe contact force models are dependent on their geometriccorrectness. Two cubic parameterization schemes aretested: Cubic Splines, which is probably the most popularinterpolation scheme used; Shape Preserving Splines,which maintain the curvature of the segments faithful tothat of the original data. Several simulations of the vehicle
are carried for the curved track parameterized with the twotypes of splines. In all simulations only the Polach forcemodel is used. Selected results for the vertical and lateralforces in the wheel are presented in Figures 20 and 21.
-10000
-5000
0
5000
10000
15000
20000
25000
30000
0 3 6 9 12 15 18 21 24 27 30
Time [s]
LateralWheelForce[N]
Left wheel - Cubic Splines Track
Right wheel - Cubic Splines Track
Left wheel - Shape Preserv Track
Right wheel - Shape Preserv Track
Figure 20. LATERAL CONTACT FORCES ON THE LEADING
WHEELSET FOR A FORWARD VELOCITY OF 10 M/S
In figure 20 it can be observed that the Cubic splineslead to a response that contains very pronounced peaks fortimes close to 14 and 19 sec. These type of peaks arealways present in interpolations involving cubic splines andlead to a perception of the system response associated with
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high perturbations. However, these perturbations have nophysical content and, therefore, the interpolation of curvedtracks based on cubic splines can be misleading. These typeof peaks are not present when the track is obtained with theshape preserving splines interpolation. Note also that the
vertical wheel forces obtained for tracks interpolated bythese two schemes exhibits the same isolated high peaksthat lead to the same conclusions. These problems are notobserved with tangent tracks because all interpolatingsplines lead to similar curves.
14000
19000
24000
29000
34000
39000
0 3 6 9 12 15 18 21 24 27 30
Time [s]
Vertic
alWheelForce[N]
Left wheel - Cubic Spline Track Right wheel - Cubic Spline Track
Left wheel - Shape Preserv Track Right wheel - Shape Preserv Track
Figure 20. VERTICAL CONTACT FORCES ON THE LEADING
WHEELSET FOR A FORWARD VELOCITY OF 10 M/S
6. CONCLUSIONA new methodology was proposed to identificaty the
contact points between the wheel and the rail. Thisprocedure allows that two simultaneous contact points to beidentified, allowing to study track switches and problemsinvolving derailment. The application of the procedures tothe simulation of a railway vehicle in different scenariosmade it possible to identify its critical velocity and toevaluate the virtues and drawbacks of different trackinterpolation schemes and creep force models. The resultsshow that the use of cubic splines for the rails and wheelsleads to spurious oscillations on the contact forces. It isconcluded that shape preserving splines is the mostadvantageous cubic polynomial interpolation process.Among the three creep force models tested it was shown
that the Polach nonlinear force model is the only one that issuitable for all simulations carried. The Kalker linear forcemodel fails when the tangential forces reach their saturationlevel. The Heuristic model leads to less accurate results forflange contact, when there are high creepages involved.
ACKNOWLEDGMENTThe support of Fundao para a Cincia e Tcnologia
(FCT) through the grant BD/18180/98, is gratefullyacknowledged.
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