2656
JOURNAL OF COMPUTERS, VOL. 6, NO. 12, DECEMBER 2011
Effects of Parameters on Dynamics of a Nonlinear Vehicle-Road Coupled System Shaohua Li Shijiazhuang Tiedao University, Shijiazhuang, Hebei, 050043, China Email:
[email protected]
Yongjie Lu and Haoyu Li Shijiazhuang Tiedao University, Shijiazhuang, Hebei, 050043, China Email:
[email protected],
[email protected]
Abstract—The nonlinear vehicle-road coupled system is modeled as a seven DOF vehicle moving along a simply supported double-layer rectangular thin plate on a nonlinear viscoelastic foundation. The vehicle suspension stiffness, suspension damping and tire stiffness are described by the nonlinear model. The material of the upper pavement surface is modeled as the nonlinear viscoelastic Leaderman constitutive relation. The dynamical response of the vehicle-road coupled system is obtained numerically by the quick direct integral method and four steps Runge-Kutta method. The effects of system parameters on vehicle body vertical acceleration and pavement displacements are also obtained. It is found that the nonlinearity of vehicle and the viscoelasticity of road material should be considered when study the vehicle-road system responses. Index Terms—vehicle-road system, dynamics, nonlinearity, viscoelastic material, numerical method
I. INTRODUCTION In the past tens years, vehicle and pavement are investigated in vehicle dynamics and road dynamics separately. In vehicle dynamics, road surface roughness is generally regarded as excitations to vehicle. Some scholars investigated the road damage due to dynamical tire forces based on two or four DOF vehicle model [1-2]. Other scholars modeled the nonlinear characteristic of the suspension and tire, and studied the nonlinear dynamics of vehicle system based on quarter car model [3-5]. However, the present investigations on vehicle dynamics didn’t consider the vibration of pavement. The study on road damage due to tire forces based on the nonlinear vehicle system is seldom found. In road dynamics, the vehicle is generally regarded as moving loads acting on the pavement, and the pavement is modeled as a beam, plate and multi-layer system on elastic or viscoelastic foundation. The viscoelasticity and nonlinearity of pavement material have drawn more and more attention [6-8]. However, these researches on road dynamics seldom consider the characteristic of vehicle suspension. In this work, a nonlinear vehicle-road coupled system is modeled as a seven DOF vehicle moving along a simply supported double-layer rectangular thin plate on
© 2011 ACADEMY PUBLISHER doi:10.4304/jcp.6.12.2656-2661
a nonlinear viscoelastic foundation. Using Galerkin’s method, the quick direct integral method and four steps Runge-Kutta method, the nonlinear dynamics of the vehicle-road coupled system is analyzed and the effects of system parameters on vehicle body vertical acceleration and pavement displacements are studied. II. SYSTEM MODELING A seven DOF vehicle and a double-layer rectangular thin plate on viscoelastic foundation with four simply supported boundaries are employed to model vehicle and pavement, as shown in Fig.1. The nonlinear tire spring force is expressed by Ftk = K t Z t + β 1 K t Z t2 (1) where, K t is the linear tire stiffness, β 1 is the nonlinear tire stiffness coefficient, and Z t is the relative vertical displacement between wheel and road surface. The nonlinear spring force of vehicle suspension is modeled as Fsk = K sl Z s + β 2 K sl Z s2 + β3 K sl Z s3 (2) where, K sl is the linear suspension stiffness, β 2 and
β 3 are the square and cubic nonlinear coefficients of suspension stiffness, and Z s is the relative vertical displacement between wheel and suspension. The hydraulic damper of vehicle suspension is modeled by 1.25 (3) F = C (1 + β sig ( Z )) Z sc
sl
4
s
s
where Csl is the linear suspension damping coefficient,
β 4 is the asymmetry coefficient, and Z s is the relative vertical velocity between wheel and suspension. The Leaderman constitutive relation is applied to model nonlinearity and viscoelasticity of the material of asphalt topping, σ = E 0 (ε ( x, z , t ) + β 5 ε ( x, z , t ) 2 + β 6 ε ( x, z , t ) 3 ) (4) t + ∫ E (t − τ )(ε ( x, z , τ ) + β 4 ε ( x, z , τ ) 2 + β 5 ε ( x, z , τ ) 3 )dτ 0
where, E0 is the initial elastic modulus, β 5 is the square
JOURNAL OF COMPUTERS, VOL. 6, NO. 12, DECEMBER 2011
2657
nonlinear coefficient, β 6 is the cubic nonlinear coefficient. E(t) is the relax function derived from Burgers model for asphalt mix, which is expressed by E (t ) = Ae −αt + Be − βt (5) The road subgrade is modeled by nonlinear Kelvin foundation, and the reaction force of the subgrade is P = KZ r + β 7 KZ r3 + CZ r (6)
and m3 are moment of inertia of vehicle body in pitching and rolling directions respectively. mt1 , mt 2 , mt 3 , mt 4 are wheel’s masses. df is half of front wheel track, dr is half of rear wheel track, and l1 +l2 is wheel space. Ft1 , Ft 2 , Ft 3 , Ft 4 are four tire forces which are expressed by Fts = k ts [ x ts − rts − w( x ts , y ts , t )] + c ts [ x ts − rts −
where, K is the foundation response modulus, β 7 is the cubic nonlinear coefficient, and C is the foundation damping coefficient. The seven degree of freedom (7DOF) vehicle equations can be obtained by Dalembert’s principle, M v Zv + C v Z v + K v Z v = Rv (7)
where, w(xts,yts,t) is pavement displacement of the point under the tire. rts is the road surface roughness satisfying the following functions 2πvt 2π rt1 = rt 3 = A sin( ), rt 2 = rt 4 = A sin[ (vt + l1 + l 2 )] L0 L0 Here, A is the amplitude of road surface roughness, and L0 is the wavelength of road roughness. ksi , Csi are nonlinear coefficients of suspension
v
z
Zt2
Ks2
Cs2
Z3 Zt1
Ks11
mt1 Kt1
Ct2
Cs1
Zt4
Cs1
mt2 Kt2
Z1
m1
Z2
mt4 Ct1
∂w( x ts , y ts , t ) ] ∂t
Zt2
mt2
Zr
stiffness and suspension damping respectively, which are expressed by k si = k sli + β 2 k sli ( Z b1 − Z ti ) + β 3 k sli ( Z b1 − Z ti ) 2 c si = c sli (1 + β 4 sig ( Z b1 − Z ti ) Z b1 − Z ti
C
K
x
O
l2
where i = 1 ~ 4 . The upper surface’s stress is nonliear and can be derived, t E (t − τ ) E1 ⎧ [ g 1 ( x, y , z , t ) + g 1 ( x , y , z , τ ) dτ ] ⎪σ x = 2 0 E1 1 − µ1 ⎪ ⎪⎪ t E (t − τ ) E1 [ g 2 ( x, y , z , t ) + g 2 ( x, y, z , τ )dτ ] ⎨σ y = 2 0 E1 1 µ − ⎪ 1 ⎪ t E (t − τ ) ⎪τ xy = G1 ( g 3 ( x, y, z , t ) + g 3 ( x, y, z , τ )dτ ) 0 ⎪⎩ G1
∫
B
l1
m1
∫
mt3 df
dr
mt4
0.25
mt2
mt1
(8)
∫
L
y
Fig.1 The nonlinear vehicle-road coupled system
where, M v = diag[m1 m2 m3 mt1 mt 2 mt 3 mt 4 ] , ⎤ ⎡4 −ks1 −ks2 −ks3 −ks4 ⎥ ⎢∑ksi −ks1l1 +ks2l2 −ks3l1 +ks4l2 −ks1d f −ks2dr +ks3d f +ks4dr ⎥ ⎢i=1 2 2 2 2 ks1l1 +ks2l2 +ks3l1 +ks4l2 ks1l1d f −ks2l2dr −ks3l1d f +ks4l2dr ks1l1 −ks2l2 ks3l1 −ks4l2 ⎥ ⎢ 2 2 2 2 ⎢ ks1d f +ks2dr +ks3d f +ks4dr ks1d f ks2dr −ks3d f −ks4dr ⎥ ⎥ Kv = ⎢ 0 0 0 ⎥ ks1 ⎢ ⎢ 0 0 ⎥ ks2 ⎥ ⎢ ⎢ 0 ⎥ ks3 ⎥ ⎢ ks4 ⎦ ⎣
Symmetry
⎤ ⎡4 −cs1 −cs2 −cs3 −cs4 ⎥ ⎢∑csi −cs1l1 +cs2l2 −cs3l1 +cs4l2 −cs1d f −cs2dr +cs3d f +cs4dr ⎥ ⎢i=1 2 2 2 2 cs1l1 +cs2l2 +cs3l1 +cs4l2 cs1l1d f −cs2l2dr −cs3l1d f +cs4l2dr cs1l1 −cs2l2 cs3l1 −cs4l2 ⎥ ⎢ 2 2 2 2 ⎢ cs1d f +cs2dr +cs3d f +cs4dr cs1d f cs2dr −cs3d f −cs4dr ⎥ ⎥ Cv = ⎢ cs1 0 0 0 ⎥ ⎢ ⎢ cs2 0 0 ⎥ ⎥ ⎢ ⎢ cs3 0 ⎥ ⎥ ⎢ cs4 ⎦ ⎣ Symmetry
Rv = [0 0 0 Ft1 Z v = [ z b1
zb2
zb3
Ft 2
Ft 3
Ft 4 ]T ,
z t1
zt 2
zt 3
zt 4 ]T .
zb1 , zb 2 , zb3 are vehicle body’s vertical, pitching and
rolling displacements. zt1 , z t 2 , z t 3 , zt 4 are wheel’s vertical displacements. m1 is mass of vehicle body, m2
© 2011 ACADEMY PUBLISHER
where, E1,G1,μ1 are elastic modulus, shear modulus, Poisson ratio of the upper surface respectively. The expressions of g1, g2 and g3 are ∂2w ∂2w ∂2w + β 5 z 2 ( 2 ) 2 − β 6 z 3 ( 2 )3 2 ∂x ∂x ∂x 2 2 ∂2w ∂ ∂ w w + µ1 (− z 2 + β5 z 2 ( 2 ) 2 − β 6 z 3 ( 2 )3 ∂y ∂y ∂y g1 ( x, y, z , t ) = − z
g 2 ( x, y , z , t ) = − z
∂ 2w ∂2w ∂2w + β 5 z 2 ( 2 ) 2 − β 6 z 3 ( 2 )3 2 ∂y ∂y ∂y
∂2w ∂2w ∂2w + β 5 z 2 ( 2 ) 2 − β 6 z 3 ( 2 )3 2 ∂x ∂x ∂x ∂2w ∂2w 2 ∂2w 3 g 3 ( x, y, z , t ) = −2 z ) − 8β 6 z 3 ( ) + 4β 5 z 2 ( ∂x∂y ∂x∂y ∂x∂y
+ µ1 (− z
Using elastic dynamic theory, the partial differential equation of the nonlinear double-layer thin plate on nonlinear viscoelastic foundation subjected by moving vehicle loads can be derived,
2658
D x1 (
JOURNAL OF COMPUTERS, VOL. 6, NO. 12, DECEMBER 2011
∂4w ∂4w ∂ 4w + ) + 2 ( D y1 + 2 D xy1 ) 2 2 4 4 ∂x ∂y ∂x ∂ y
t ⎧ −α (t −τ ) G (τ )dτ ⎪⎪ x1ij = 0 − Aαe ⎨ t ⎪ x = − Bβe − β (t −τ ) G (τ )dτ ⎪⎩ 2ij 0 The first derivation of Eq.(13) is, ⎧⎪ x1ij = −αx1ij − Aα ( A1ij U ij + A2ij U ij2 + A3ij U ij3 ) ⎨ 2 3 ⎪⎩ x 2ij = − βx 2ij − Bβ ( A1ij U ij + A2ij U ij + A3ij U ij ) Substituting Eq.(12) in Eq.(11) leads to M ijUij + CijU ij + K1ijU ij + K 2ijU ij2 + K 3ijU ij3
∫ ∫
∂ 3w ∂ 2w ∂ 4w ∂ 3w ∂ 2w ∂ 4w + 2 D x 2 [( 3 ) 2 + + ( 3 )2 + ] ∂x ∂ x 2 ∂x 4 ∂y ∂ y 2 ∂y 4 + 2 D y 2 [(
∂ 3w 2 ∂ 2 w ∂ 4w ∂ 3w ∂ 2w ∂ 4w + ( 2 )2 + ) + ] 2 2 2 2 ∂x ∂y ∂y ∂x ∂y ∂x ∂y ∂ x 2 ∂x 2 ∂y 2
+ 4 D xy 2 [
∂ 3w ∂ 3w ∂ 2w ∂ 4w + ] 2 2 ∂x ∂y ∂ x∂y ∂ x∂ y ∂ x 2 ∂y 2
∂ 2w ∂ 3w ∂ 2w ∂ 3w ∂ 2w ∂ 4w ∂ 2w ∂ 4w + 3Dx3[2 2 ( 3 ) 2 + 2 2 ( 3 ) 2 + ( 2 ) 2 ] + ( 2 )2 ∂x ∂ x ∂y ∂ y ∂x ∂x 4 ∂y ∂y 4 + 3D y3[2
∂ 2 w ∂ 3w 2 ∂ 2w ∂ 3w ( ) + 2 2 ( 2 )2 2 2 ∂ y ∂x ∂y ∂x ∂ x ∂ y
+ x1ij + x2ij = Rij
∂2w ∂4w ∂2w ∂4w + ( 2 )2 2 2 + ( 2 )2 2 2 ] ∂y ∂x ∂y ∂x ∂ x ∂y + 6 D xy 3 [ 2 +
∂ 2w ∂ 3w ∂ 3w ∂ 2w 2 ∂ 4w +( ) ] ∂x∂ y ∂x∂ y 2 ∂ x 2 ∂y ∂x∂ y ∂ x 2 ∂ y 2
∫ E (t − τ )( t
0
+ Kw + C
∂ 2 D Exy
(9)
∂ D E1 ∂ DE 2 +2 + ) dτ ∂x 2 ∂ x∂y ∂y 2 2
2
4 ∂w ∂2w ∂ 2w + ρ h 2 = L ( w ) + ρ h 2 = ∑ Ftiδ ( x − xti )δ ( y − y ti ) ∂t ∂t ∂t i =1
where, the expressions of D xi , D yi , D xyi , D E1 , D E 2 , DExy , ρh can be found in [10] and the value of these seven coefficients depends on the pavement parameters. Displacement of double-layer thin plate with four simply supported boundaries can be expressed as NM NN nπy mπx (10) w( x, y, t ) =
∑∑ U
mn (t ) sin
m =1 n =1
L
sin
B
where, L and B are the pavement’s length and width. By Galerkin’s method, equation (18) can be discretized into a set of ordinary differential equations with integral item, M ijUij + CijU ij + K1ijU ij + K 2ijU ij2 + K 3ijU ij3 (11) t + ∫ E (t − τ )G (τ )dτ = Rij 0
where i = 1 ~ NM , j = 1 ~ NN , LB LB ρh, Cij = C, 4 4
M ij =
LB LB K , K 2ij = D 2ij , K 3ij = D3ij + β7 K, 4 4
K 3ij = D1ij + G (τ ) =
L
∫∫ 0
B
(
∂ 2 D E1
0
∂x 2
+2
∂ 2 D Exy ∂x∂y
+
∂ 2 DE 2 ∂y 2
) sin(iπx / L) sin( jπy / B )dxdy
Rij =
L
B 4
0
0
∫ ∫ ∑ F δ (x − x ts
ts )δ ( y −
y ts ) sin(iπx / L) sin( jπy / B)dxdy
s =1
The expressions of D1ij , D 2ij , D3ij , A1ij , A2ij , A3ij are omitted and can be found in [10]. Due to the integral item in Eq.(11),the following transform [11-12] is applied, x1ij + x 2ij =
t
∫ E (t − τ )G(τ )dτ 0
Substituting Eq.(5) in Eq.(12), one get
© 2011 ACADEMY PUBLISHER
(12)
(14)
(15)
Thus Eq.(11) turns into one second-order ordinary differential equation Eq.(15) and two first-order ordinary differential equations Eq.(14). Rewrite Eq.(14) and Eq.(15) as matrix equations, ⎧⎪ X 1 = −αX 1 − Aα ( A1U + A2U 2 + A3U 3 ) = f (t , X 1 , U ) ⎨ 2 3 ⎪⎩ X 2 = − β X 2 − Bβ ( A1U + A2U + A3U ) = f (t , X 2 , U )
M r U + C r U + K r U = R r − X 1 − X 2
(16) (17)
where K r = [ K1 + K 2U + K 3U ] . 2
Eq.(11) and Eq.(7) compose the governing equations of the nonlear vehicle-road coupled system. Rewrite Eq.(1) and Eq.(17) in the following form [ M ]{Z} + [C ]{Z } + [ K ]{Z } = {R} (18) where Rv 0 ⎤ ⎡M ⎧ ⎫ ⎧Z v ⎫ , {R} = ⎨ [M ] = ⎢ v ⎬, {Z } = ⎨ ⎬ . ⎥ ⎩U ⎭ ⎣ 0 Mr ⎦ ⎩ Rr − X 1 − X 2 ⎭
III. THE NUMERICAL METHOD BY COMPUTER Considering the time-varing of the coupled system’s stiffness and damping matix, the quick direct integral method [13-14] and four steps Runge-Kutta method are used to solved Eq.(18) and obtain the system’s responses. The computer processes are as follows, (1) Giving initial conditions Let initial displacement and initial velocity of Eq.(18) be ⎪⎧{Z }0 = {Z (0)} ⎨ ⎪⎩{Z }0 = {Z (0)} . Initial acceleration can be obtained from Eq.(18), {Z}0 = [ M ]−1 ({R}0 − [ K ]0{Z }0 − [C ]0{Z }0 )
= A1ij U ij + A2ij U ij2 + A3ij U ij3
(13)
.
Let initial displacement of Eq.(16) be ⎧{ X 1 }0 = { X 1 (0)} ⎨ ⎩{ X 2 }0 = { X 2 (0)}
. (2) Computing displacement, velocity, and acceleration of the vehicle-road coupled system when t = (n + 1)∆t . Let ϕ = ψ = 0 when n=0, and ϕ = ψ = 1 / 2 when n ≥ 1 . Giving Integration time step ∆t , one can build the following relations, ⎧⎪{Z }n+1 = {Z }n + {Z }n ∆t + (1 / 2 + ψ ){Z}n ∆t 2 −ψ {Z}n−1 ∆t 2 ⎨ ⎪⎩{Z }n+1 = {Z }n + (1 + ϕ ){Z}n ∆t − ϕ{Z}n−1 ∆t
(19)
JOURNAL OF COMPUTERS, VOL. 6, NO. 12, DECEMBER 2011
∆t ∆t , X 1n + f 11 , U n ), 2 2
∆t ∆t , X 1n + f 12 , U n ), f 14 = f 1 (t n + ∆t , X 1n + ∆tf 13 , U n ) 2 2 ∆t ∆t f 21 , U n ), = f 2 (t n , X 1n , U n ), f 22 = f 2 (t n + , X 1n + 2 2 ∆t ∆t f 22 , U n ), f 24 = f 2 (t n + ∆t , X 1n + ∆tf 23 , U n ) = f 2 (t n + , X 1n + 2 2
f 13 = f 1 (t n + f 21 f 23
System equations (18) when t = (n + 1)∆t are [ M ]{Z}n+1 + [C ]n+1{Z }n+1 + [ K ]n+1{Z }n+1 = {R}n+1 (21) Substituting Eq.(19) and Eq.(20) into Eq.(21) one can obtain {Z}n +1 = [ M ]−1 ({R}n +1 − [ K ]n +1{Z }n − ([C ]n +1 + [ K ]n +1 ∆t ){Z }n − {(1 + ϕ )[C ]n +1 + (1 / 2 + ψ )[ K ]n +1 ∆t}{Z}n ∆t + (ϕ[C ]n +1 + ψ [ K ]n +1 ∆t ){ A}n −1 ∆t Thus the displacement, velocity and acceleration of the system when t = (n + 1)∆t can be gained.
(3) Repeating the process (2) , we can get the displacement, velocity and acceleration of the system step by step.
0.52
0.0187
0.51
0.0187 MZr /mm
f 11 = f 1 (t n , X 1n , U n ), f 12 = f 1 (t n +
0.5
0.0186
0.49 0.48
0.0185 0
50 β1
0.0185
100
0
50 β1
100
Fig.2 The effect of square nonlinear tire stiffnessβ1 0.0186
0.5015
0.0186
0.501
MZr/mm
where
hardly influence the pavement displacement. (2) Effects of pavement nonlinear parametersβ5、β6 and β7 on responses of vehicle and pavement is very small. So these three nonlinear parameters may be omitted in order to simplify the calculation course. (3) In four viscoelastic parameters of pavement asphalt topping, the effect of E1 on system response is greater than that of E3, and the effect ofη2 on system response is greater than that of η3. Small E1, big E3, bigη2, or big η3 may not only improve vehicle running comfort but also extend road service life.
MA1 /m/s 2
(20)
MA1 /m/s 2
∆t ⎧ { X } = { X 1}n + ( f11 + 2 f12 + 2 f13 + f14 ) ⎪⎪ 1 n +1 6 ⎨ ⎪{ X } = { X } + ∆t ( f + 2 f + 2 f + f ) 2 n 21 22 23 24 ⎪⎩ 2 n +1 6
2659
0.5005 0.5
0.0186 0.0186
0
1000 β2
0.0186
2000
0
1000 β2
2000
Fig.3 The effect of square nonlinear suspension stiffnessβ2
VI. EFFECTS OF SYSTEM PARAMETERS
the greatest, effects of square nonlinear tire stiffnessβ1 and square nonlinear suspension stiffness β 2 are the second, and the effect of cubic nonlinear suspension stiffness β3 is the least. Bigβ1 or small β 4 is benefit to both vehicle running comfort and road service life. Smallβ2 may improve the vehicle running comfort but
© 2011 ACADEMY PUBLISHER
MZr/mm
MA1 /m/s 2
0.0186
0.5004 0.5004
0.0186 0.0186
1000 β3
0.0186
2000
0
1000 β3
2000
Fig.4 The effect of cubic nonlinear suspension stiffnessβ3 0.019
0.7 MZr/mm
MA1 /m/s 2
0.8
0.6 0.5 0.4
0
0.5 β4
0.0188 0.0186 0.0184
1
0
0.5 β4
1
Fig.5 The effect of suspension damper asymmetry coefficientβ4 0.5003
0.0161
0.5003
0.0161
MZr/mm
Effects of seven nonlinear parameters and four viscoelastic parameters on vehicle body vertical acceleration and pavement displacement are studied, as shown in Fig.2~Fig.11. Main conclusions are listed here, (1) In four nonlinear parameters of vehicle system, the effect of suspension damper asymmetry coefficient β 4 is
0.0186
0
MA1 /m/s 2
The system parameters are chosen according to [10]. m1=15280kg, m2=3×105kg﹒m2, m3=0.6×105kg﹒m2, mt1= mt3=190kg, mt2= mt4=380kg, Ksl1=Ksl3=370×103 N/m, Ksl2=Ksl4=920×103 N/m, Csl1= Csl3=12000 N﹒s2/m, Csl2=Csl4=30000 N﹒s2/m, Ktl1= Ktl3=0.73×106N/m, Ktl2= Ktl4=1.46×106N/m, Ct1= Ct3=600N﹒s2/m, Ct2= Ct4=900N﹒s2/m,l1=3.29m, l2=1.48m, lf=1.90m, lr=1.80m,β1=0.01, β2=0.1, β3=0.6, β4=1/3, v=10m/s, L=600m, B=24m, L0=2.3m, h1=0.09m, E1=2400MPa, E3=2400Mpa, η2=3159.32 Mpa﹒s,η3=509.61 Mpa﹒s,γ1=0.35, ρ1=2.613×103 kg/m3, h2=0.2m,E2=1100MPa, γ2=0.35,ρ2=2.083×103 kg/m3, K=48×106 N/m2, C=0.3×104 N﹒s/m2, β5=0.1, β6=0.1, β7=0.01.
]
0.5004
0.5003 0.5003
0
5 β5
10 4
x 10
0.0161 0.0161
0
5 β5
Fig.6 Effect of square nonlinear pavement topping elasticβ5
10 x 10
4
JOURNAL OF COMPUTERS, VOL. 6, NO. 12, DECEMBER 2011
0.5003
0.0161
0.5003
0.0161 MZr/mm
MA1 /m/s 2
2660
0.5003
0.0161
0.5003 0.5003
0.0161 0
5 β6
0.0161
10
0
5 β6
4
x 10
10 4
x 10
Fig.7 Effect of cubic nonlinear pavement topping elasticβ5 0.0186 0.0186
0.5004
MZr/mm
MA1 /m/s 2
0.5004
0.5004 0.5004
0.0186 0.0186
0
1000
2000
0
1000
β7
2000
β7
responses of the coupled system is studied. It is found that (1) Big tire nonlinearity β 1 or small asymmetry coefficient of suspension damper β 4 is benefit to both vehicle running comfort and road service life. Small suspension square nonlinearity β 2 may improve the vehicle running comfort but hardly influence the pavement displacement. Effects of suspension cubic nonlinearity β 3 and pavement nonlinear parametersβ5、β6 andβ7 on responses of vehicle and pavement is very small. (2) The effect of pavement viscoelasticity on pavement responses should not be neglected. Small E1, big E3, big η 2, or big η 3 may not only improve vehicle running ride comfort but also extend road service life.
0.03
0.5003
0.025
MZr/mm
MA1 /m/s 2
Fig.8 Effect of nonlinear foundation stiffnessβ7 0.5003
0.5002 0.5002
0
1000
2000 3000 E1 /MPa
This work was supported by the National Natural Science Foundation of China under Grant No. 11072159 and the Natural Science Foundation of Hebei province under Grant No. E2010001095.
0.02
0.015
4000
ACKNOWLEDGMENT
0
1000
2000 3000 E1 /MPa
REFERENCES
4000
[1]
Fig.8 Effect of pavement topping elastic modulus E1 0.021
0.5003 0.5003
[2]
0.0205
0.5003
MZr/mm
MA1 /m/s 2
0.5003
0.02
[3]
0.0195 0
2000 E3 /MPa
0.019
4000
0
2000 E3/MPa
4000
[4]
Fig.9 Effect of pavement topping elastic modulus E3 0.022 0.021
0.5003
MZr/mm
MA1 /m/s 2
0.5004
0.5003
0.5003
[5]
0.02 0.019
0
5000 η2 /MPa.s
0.018
10000
[6] 0
5000 η2 /MPa.s
10000
Fig.10 Effect of pavement topping dampingη2 [7] 0.0195 0.0194
0.5003
MZr/mm
MA1/m/s 2
0.5003
0.5002
0.5002
[8]
0.0194 0.0193
0
5000
10000
0.0193
[9] 0
η3/MPa.s
5000
10000
η3/MPa.s
Fig.11 Effect of pavement topping dampingη3
[10]
V. CONCLUSIONS Not only considering the nonlinearity of vehicle and pavement, but also considering the viscoelasticity of asphalt topping, a nonlinear vehicle-road coupled system is modeled and the effects of parameters on dynamic
© 2011 ACADEMY PUBLISHER
[11]
[12]
D. Cebon, Interaction between Heavy Vehicles and Roads, Society of Automotive Engineers Publication, SAE 930001, Warrendale, PA, USA., 1993 D.J. Cole, “Truck suspension design to minimize road damage”, Proceedings of the Institution of Mechanical Engineers, vol.210, No. 22, 1996, pp95-107 L. Sun, X.M. Cai, J.Yang, “Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion”, Journal of Sound and Vibration, vol.301, No. 1-2, 2007, pp18–27 Q. Zhu, M. Ishitobi, “Chaos and bifurcations in a nonlinear vehicle model”, Journal of Sound and Vibration, vol.275, No. 3-5, 2004, pp1136-1146 S.H. Li, S.P Yang, “Investigation on Chaotic Motion in Hysteretic Nonlinear Suspension System with Multi-frequency Excitations”, Mechanics Research Communications, No. 31, 2004, pp229-236 T. Georgios, W.S. Charles, G. Emanuele, “Hybrid balance control of a magnetorheological truck suspension”, Journal of Sound and Vibration, vol.317, No. 3-5, 2008, pp514-536. D.M. Santee, P.B. Gonalves, “Oscillations of a beam on a non-linear elastic foundation under periodic loads”, Shock and Vibration, vol.13, No. 4-5, 2006, pp273-284 P. Qiu, “Bifurcation and chaos of the circular plates on the nonlinear elastic foundation”, Applied mathematics and Mechanics, vol.24, No. 8, 2003, pp779-784 Z.A.Yang, X.J. Zhao, X.Y. Xi, “Nonlinear vibration and singularities analysis of a thin rectangular plate on nonlinear elastic foundation”, Journal of Vibration and Shock, vol.25, No. 5, 2006, 69-73 S.H. Li, Investigation on dynamics of heavy vehiclepavement coupled system. Beijing: Beijing Jiaotong University, 2008. (in Chinese) V.D. Potapov, A.Y. Marasanov, “The investigation of the stability of elastic and viscoelastic rods under a stochastic excitation”. International Journal of Solids and structures, vol.34, No. 11, 1997, pp1367- 1377 L.Q. Chen, C.J. Cheng, “Dynamical Behavior of Nonlinear
JOURNAL OF COMPUTERS, VOL. 6, NO. 12, DECEMBER 2011
Viscoelastic Beams”, Applied Mathematics And Mechanics, vol.21, No. 9, 2000, pp897-902 [13] W.M. Zhai, Vehicle-track coupling dynamics, China railway publishing house, Beijing, China, 2002 (in Chinese) [14] W.M. Zhai, “Two simple fast integration methods for large-scale dynamic problems in engineering”, International Journal For Numericai Methods In Engineering, vol.39, No. 24, 1996, pp4199-4214
Shaohua Li Hebei Province, China. Birthdate: July, 1973. is Vehicle Engineering Doctor of Technology, graduated from School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University. And research interests on dynamical interaction between vehicle and road. She is a vice-professor of School of Mechanical Engineering, Shijiazhuang Tiedao University. Yongjie Lu Hebei Province, China. Birthdate: September, 1981. is Vehicle Engineering Doctor of Technology, graduated from School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University. And research interests on vehicle dynamics. She is a instructor of School of Mechanical Engineering, Shijiazhuang Tiedao University. Haoyu Li Hebei Province, China. Birthdate: November, 1971. is Vehicle Engineering Doctor of Technology, graduated from School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University. And research interests on dynamical interaction between vehicle and road. She is a professor of School of Mechanical Engineering, Shijiazhuang Tiedao University.
© 2011 ACADEMY PUBLISHER
2661