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8/12/2019 8 Appendix(Track)
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8/12/2019 8 Appendix(Track)
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3 Power Spectral Density of Track Irregularity (PSD)
$ sample of real track irregularity is taken as an random process ,which is composed by a
%arity of harmonic wa%es, take %ertical profile irregularity as an e&le,a random process is
described as:
In which: iΩ means spatial fre'uency of ith harmonic wa%e,described as:
The denominator represents wa%e length.
Fre'uencies in time domain and in spatial domain correspond a coefficient of speed v:
The %ariance of each harmonic wa%e is:
$ccording to the
random %ibration
theory , The %ariance of
harmonic wa%e means
also its power at the
related fre'uency, which
describes the feature of a
random process in
fre'uency domain, and is
ust like auto correlation
function in time domain.
The ma&imum %alue of
auto correlation function
is %ariance. #ut %ariances
at each fre'uency in one plot, a power spectral is
thus obtained. To remo%e the effects of fre'uency inter%al,di%ided each power spectral by related
fre'uency inter%al, a #)* could be obtained. This process is shown in fig.!
#)* function (ω S is an e%en and real function of ω ,take a general form as below:
∑=
+Ω=k
i
iii xb xh1
cos(( ε
ii L/!π =Ω
v Lv ⋅Ω=→= ω π ω /!
!
1
! (1∑=
−=n
j
jhi hhn
σ
h1
Ω1
h1(X)
∆Ω1
Φh1
Φh(Ω) 高 低 不
平 顺
h
顺 道 x
x 0
h(X)
空 顺 角 顺
率
高 低 不 平 顺
功 率 密 度 Φ
h
fig.! #)* of track irregularity (principle description
+
,
-
!
!
1"
+
,
-
!
!
1"(ω ω ω
ω ω ω ω
aaaa
bbbbS
+++
+++=
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4 Time domain irregularity sample from PSD
(1)mathematic priciple
$ shape filter ( ω j F is constructed from ( !ω S and satisfied flowing form:
)hape filter ( ω j F con%erts a white noise (t f to a colored noise ( con%olution
integral):
λ λ λ d t h f t ut
∫ −="
(((
In which (t h means impulse response of ( ω j F ,or in other words ( ω j F is a Fourier
transform of (t h : ∫ ∞
∞−
−= σ ω ωσ d eh j F j((
The #)* of obtained time domain sample is(note:the #)* of white noise e'ual 1,di%ided
by π ! means in unit rad ,and multiply by ! means one side spectral is used):
((1
!!
11(((( "
!ω ω
π π ω ω ω ω j F j F j F j F S j F S u −⋅⋅=
××⋅−⋅==
)o, this pro%es that (t u is one of sample obtained by fre'uency domain track irregularity
#)*.
For speed v , Ω⋅= vω :
(1
( Ω= S v
S ω ,so:
( )( ) ( ) ( ) ,
,
!
!1"
1"(
1(
v
j
v
j
v
j
v
j
v
j
bbbb
aa j F v
j F ω ω ω
ω
ω ω
++⋅+
+=Ω=
=Ω
eneral coefficients in v!"m#s are gi%en.
(!)0oefficients of different shape filters of different track irregularities
)hape filter is represented in a general form as below:
,
,
!
!1"
1"
(((
((
ω ω ω
ω ω
jb jb jbb
jaa j F
+++
+=
Instruction of“ad!usted track ”and“need ad!usting track ”
(this track condition is used by Institute of Railway %ehicles, )2T3
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$dusted track :
4eed adusting track :
For different track conditions, all F( w)magnitudes are put in one figure to compare, asshown in fig.
"enerally speaking, t#e ad!usted track e$ui%alent to medium &#inese main line,and
need ad!usting track means 'ad track
$ccording to e&perience, $$R %ertical profile is too much big.
5imited speeds for $$R track of different classes are listed in following table:
Track class
+ 6 - ! 1
Freight car (km/h 17+ 1!8 9+ +- -" 16
#assenger car (km/h 17+ 1-- 1!8 9+ -8 !-
For locomoti%es, because of much hea%ier a&le loads and no empty/full different, the limited
speed should be higher than the table listed, but no %alues are proposed.
!(+9"-.1",-."
""!86."(
ω ω ω
j j j F
++=
!8-6!.""1+98+7+."
"""9!8"+6."(
ω ω ω
++=
j j F
,!((!8,!.1"77-."""7--"!"1."
""1!."(
ω ω ω
ω ω
j j j
j j F
+++=
Alignmen
t:
Vertical
Profile:
Cross lev
el:
!(+9"-.1",-."
""67."(
ω ω ω
j j j F
++
=
!(8-6!.""1+98+7+."
""11-,86+."(
ω ω ω
j j j F
++=
,!((!8,!.1"77-."""7--"!"1."
""16."(
ω ω ω
ω ω
j j j
j j F
+++=
Aligmnent
Vertical
Prifile
Cross Le
vel
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本顺告采用顺,依次顺“ 顺整好” 和“ 需要顺整”
美 AAR顺,依次顺6,,!顺国
" 顺,依次顺“ 低#$” 和“ 高#$”国
本顺告采用顺,依次顺“ 顺整好” 和“ 需要顺整”
美 AAR顺,依次顺6,,!顺国
" 顺,依次顺“ 低#$” 和“ 高#$”国
本顺告采用顺,依次顺“ 顺整好” 和“ 需要顺整”
美 AAR顺,依次顺6,,!顺国
" 顺,依次顺“ 低#$” 和“ 高#$”国
%&不平顺,'
(&不平顺,)
高低不平顺,A*
本顺告(&不平顺顺
+" 顺,-./国
本顺告%&不平顺顺01
“ 顺整好” 2 3AAR顺当
“ 需要顺整” 4 AR!顺51
本顺告高低不平顺顺顺顺1
73AAR+AAR!8顺,9顺好
Fig.(green: adusted , need adusting track/ read: $$R class +,-,!/ blue: germany high, low
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PSD coefficients of **+ track class
$$R track irregularities are gi%en in inch unit system(
*ynamics of Railway ;ehicle )ystem.;iay <. arg, Rao ;. *ukkipati, $cademic #ress, 198-)as shown in following table.
Table: #)* coefficients of $$R track class under inch unit system
=odel
c$f in!
#arameter ;alues of parameters by track class
)ymbol 3nit + 6 - ! 1
$lignmen
t (
((
!
!
!-
!
1
!!
!
φ φ φ
φ φ φ φ
+
+= A
S $
1φ
!φ
1">-in!/cpf
1">cpf
1">!cpf
". ".6 ".9 1.+ !.8 6."
1"." 1"." 1"." 1"." 1"." 1"."
6.+ 6.+ 6.+ 6.+ 6.+ 6.+
;ertical
#rofile (
((
!!!-
!
1
!!
!
φ φ φ
φ φ φ φ
+
+= A
S $
1
φ
!φ
1">-in!/cpf
1">cpf
1">!cpf
".6 ".8 1.- !.6 -.6 7.9
7.1 7.1 7.1 7.1 7.1 7.1
-." -." -." -." -." -."
0ross
le%el (((
!
!
!!
1
!
!
!
φ φ φ φ
φ φ
++= A
S $
1φ
!φ
1">-in!/cpf
1">cpf
1">!cpf
". ".6 ".7 1.1 1.+ !.
7.1 7.1 7.1 7.1 7.1 7.1
-." -." -." -." -." -."
For compare among different track conditions and for con%enient application in dynamic
software, I)? metric unit system is recommended. For I)? metric unit system, a general form of
#)* e%en and real function representation is used:
circlemm /! ⋅$$R track irregularities gi%en in metric unit system is gi%en in following table.
Take alignment irregularity as an e&le,1m@.!8"8 ft ( k @.!8"8:
( )((
((
1--
1
1--
11
1--
1(
!!
!-
!1
!!!
!!
!-
!1
!
!!
,! φ
φ φ
φ
φ φ
k
k k A
k
k k
k A
k k S
k k S
+ΦΦ+Φ
⋅=
+
Φ
Φ
+
Φ
⋅=
Φ⋅=Φ m%m#circle
In principle coefficient k reduce %ertical coordinate ( 1 ft#circle@1/k m#circle), magnify
horiAontal coordinate. Further more unit in! in #)* should be changed to m!:For cross le%el the con%ert formula is:
( )( )!
!
!!
1
!
!
!
!
!
!
!
1
!
!
!
,! ((
(
1--
1
1--
11
1--
1(
φ φ
φ
φ φ
φ
k k
k A
k
k k
A
k k S
k k S
+Φ+Φ⋅=
+
Φ
+
Φ⋅=
Φ⋅⋅=Φ
m!m/circle
Table: #)* coefficients of $$R track class under metric unit system
model
circlemm /! ⋅
#arameter ;alues of parameters by track class
symbol 3nit + 6 - ! 1
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