Stationary random vibration analysis of vehicletrack coupled system with nonlinear stiffness of railpads
Ping Wang^{1} , Fan Yang^{2} , Kai Wei^{3} , Changsheng Zhou^{4}
^{1, 2, 3}MOE Key Laboratory of HighSpeed Railway Engineering, Southwest Jiaotong University, Chengdu, China
^{1, 2, 3}School of Civil Engineering, Southwest Jiaotong University, Chengdu, China
^{4}Metro Design and Research Institute of China Railway Eryuan Engineering Group Co. Ltd., Chengdu, China
^{2, 3}Corresponding authors
Journal of Vibroengineering, Vol. 19, Issue 4, 2017, p. 29312946.
https://doi.org/10.21595/jve.2017.17947
Received 4 November 2016; received in revised form 18 February 2017; accepted 27 March 2017; published 30 June 2017
JVE Conferences
According to timetemperature superposition (TTS) and WLF formula, the temperaturedependent and frequencydependent kinetic parameters of the railpads of WJ7 fasteners were predicted based on the experimental results at a certain frequency and under the different temperatures. By combining the pseudo excitation method and symplectic mathematics scheme, the impact of railpads frequencydependent and temperaturedependent stiffness on the random variation of the coupled vehicletrack system was investigated efficiently. The results suggest that, within the range of environment temperature and frequencydependent extent of railpads in the railway, the PSD peak of the vertical random vibration acceleration of the wheelsets and rail gets the largest increase of 3.3 times at least, and the increment of their 1st dominant frequency also reaches up to 20.6 Hz or more. Therefore, in order to accurately analyze the random vibration responses of the vehicletrack coupled system, experiments must be conducted to obtain the accurate kinetic parameters of the polymer materials like railpads.
Keywords: railpad, timetemperature superposition, frequencydependent, temperaturedependent, random vibration.
1. Introduction
When the vehicles are moving on the track, the track irregularity will directly acts on the vehicle and track structure, arouse their respective vibration and directly affect the safety, ride comfort, fatigue and noise of the vehicle and the line. Therefore, the random vibration analysis of vehicle and track structure, especially the calculation of the power spectrum density (PSD) of their dynamic response, plays a very important role in the calculation of railway transportation dynamics.
In 1992, Zhai Wanming [1]^{}firstly explored the vehicle and track structure as a whole system and established the vertical vehicletrack unified model by adopting the system engineering approach, laying a foundation for the vehicletrack coupled system dynamics. Later, Popp [2] and Dumitriu [3] together with many other scholars conducted more indepth studies on this model, contributing to its wide recognition and rapid development. Thus, the vehicletrack coupled system dynamics also became a new research field to be explored.
The difficulties for the random vibration analysis of the vehicletrack coupled system mainly lie in the large degree of freedom of the structure and the low computational efficiency of the traditional random vibration analysis method. When the finite element method is adopted to establish a finitelength track model, the track structure should include the length of dozens of sleepers at the front and back of the vehicle to basically eliminate the impact of the track boundary conditions. Thus, the random vibration analysis for a track model with such a large degree of freedom will require an unbearable computational effort.
As a continuous periodic support structure, the track structure can be regarded as a typical periodic chain structure. In the earlier time, the scholars carried out a fundamental research on the vibration characteristics of the periodic structure, which laid a solid foundation for the calculation of the dynamic response of the periodic structure. The calculation of the steadystate response for periodic chain structure under the waves’ free propagation and harmonic loading is becoming more and more mature, and the commonly used calculation methods include transfer matrix method [4], $Z$ transformation method [5], wave vector method [6], spectral finite element method [7], substructure iteration method [8], etc. Among them, the symplectic mathematical method [9, 10] is successfully applied, providing an accurate and efficient calculation solution to the dynamic response of infinitely periodic chain structure under harmonic loading. Based on this, Lin Jiahao combined the pseudo excitation method [11, 12] with the symplectic mathematical scheme and solved the random dynamic response PSD of infinitely periodic chain structure under stationary/nonstationary random excitation. LV Feng [13] et al. further applied these results in the random vibration analysis of the vehicletrack coupled system.
Based on the research results of the above methods, the pseudo excitation method and the symplectic mathematical scheme are adopted to establish a model and find the solution to random vibration of the vehicletrack coupled system, and the accuracy and efficiency of the calculations are greatly improved. However, the frequency domain calculation results for the algorithms are not so satisfactory, which is possibly attributed to the problem of calculation parameters. Generally, the dynamic parameters of track pads (such as rail pads, under sleeper pads and bed pads) are just regarded as a constant in the abovementioned models. However, the dynamic mechanical parameters of high polymer track pads actually have a close correlation with environment temperatures, exciting frequencies and exciting amplitudes [1416]. Squicciarini et al. [17] performed a field measurement of the noise from passing trains at temperature of 0+35 °C. The test results show that there an increase of 34 dB. Smutny [18] performed some laboratory measurements of dynamic parameters of a single rail fastening by mechanical shock simulated with a hammer. Lin et al. [19] showed a simple experimental method to evaluate the frequencydependent rubber mount stiffness and damping characteristics by utilizing the measured complex frequency response function from impact test and by leastsquares polynomial curve fitting the data obtained from the test. Oregui et al. [20] proposed combining dynamic mechanical analysis and the timetemperature superposition principle to determine various railpad dynamic properties. Yet, the frequencydependent and temperaturedependent features of dynamics parameters of these polymer damping materials are rarely taken into account in the dynamic analysis of the vehicletrack coupled system; instead, values are determined just in accordance with the measured dynamic stiffness values under the 35 Hz vibration conditions. Obviously, such simplification is not reasonable.
Thus, with the indispensable railpad in the railway traffic as the research object, the symplectic mathematical scheme and pseudoexcitation method are adopted for infinitely periodic substructure to establish a vehicletrack coupled model. The model was used to study the impact of railpads frequencydependent and temperaturedependent stiffness on the random variation acceleration of the vehicle body, bogie, wheels and steel rail. Further, within the range of environment temperature and the frequencydependent extent of the railpads of WJ7 fastener, the change rules of random vibration response of the coupled vehicletrack system are discussed in frequency domain.
2. The symplectic analysis model for vertical random variation of the coupled vehicletrack system
Taking the typeB metro vehicle and the embedded sleeper ballastless track as objects, the pseudoexcitation method [11] and symplectic mathematical scheme [9] are adopted to establish the symplectic model for vertical random vibration of the vehicletack coupled system.
2.1. Equation of motion of the vehicle
The metro vehicle can be modeled as a halfcar system with two suspensions moving on the track. It can effectively reflect the ups and downs and nod movement of the vehicle body and frontandrear bogies, as well as the vertical movements of four wheel sets, including 10 degrees of freedom (see Fig. 1).
Fig. 1. Schematic drawings of the model of vehicle
In the Fig. 1, ${M}_{c}$, ${M}_{t}$ and ${M}_{w}$ are the mass of vehicle body, bogie and wheel set; ${J}_{c}$ and ${J}_{t}$ are the rotational inertia of vehicle body and bogie; ${K}_{z1}$ and ${K}_{z2}$ are the stiffness of the first and second suspension systems, and ${C}_{z1}$ and ${C}_{z2}$ are the damping of the first and second suspension systems respectively; ${l}_{t}$ is half of the distance between two axles of same bogie; ${l}_{c}$ is half of the distance between two bogie centers; and v is the vehicle speed.
Therefore, it can be seen that the equation of motion (Eq. (1)) of the vehicle under the steadystate harmonic excitation is expressed as:
In Eq. (1), ${K}_{v}$, ${C}_{v}$, ${M}_{v}$ are the stiffness matrix, damping matrix and mass matrix of the vehicle (see Table 1), respectively; ${u}_{v}$ is the displacement vectors of the vehicle, ${K}_{v}^{d}$ is the dynamic stiffness matrix of the vehicle, and ${f}_{wr}$ is the load vector of the wheelrail force.
2.2. Equation of motion of the track
The embedded sleeper track is the most common metro track, which can also be approximated as an infinite periodic structure (as shown in Fig. 2). Therefore, the symplectic mathematical scheme can be adopted to establish the equations of motion of the track. Where $EI$, ${m}_{r}$ is the bending stiffness and weight per meter of the rail, and ${K}_{r}$, ${C}_{r}$ is the railpad stiffness and damping.
Fig. 2. Schematic drawings of vertical whole structure and substructure of embedded sleeper tracks
a) Whole structure
b) Substructure
2.2.1. Symplectic mathematical scheme of infinite periodic chain substructure [9]
The infinite periodic chain substructure is shown as Fig. 3.
It includes the substructure sub* under the external load $f\left(t\right)$ and the substructure sub without external load. When the substructure sub* is under a harmonic load with a specific circular frequency of $\omega $, its equations of motion can be arranged as below:
where ${u}_{a}$, and ${u}_{b}$ are the displacement vectors at the left and righthand interfaces and ${u}_{i}$ is the internal displacement vector and; ${p}_{a}$, ${p}_{b}$ and ${p}_{i}$ are the corresponding nodal force vectors; where ${f}_{a}$, ${f}_{b}$ and ${f}_{i}$ are the external harmonic load vectors; ${K}_{aa}^{0}$ et al. are the nine subblocks of the dynamic stiffness matrix.
Fig. 3. Schematic drawing of infinite periodic chain structures
For nonloaded substructure, the internal degree of freedom in Eq. (2) can be eliminated and the following equation can thus be obtained:
where ${K}_{aa}={K}_{aa}^{0}{K}_{ai}^{0}({K}_{ii}^{0}{)}^{1}{K}_{ia}^{0}\text{,}$${K}_{ab}={K}_{ab}^{0}{K}_{ai}^{0}({K}_{ii}^{0}{)}^{1}{K}_{ib}^{0}\text{,}$${K}_{ab}={K}_{ab}^{T}\text{,}$ and ${K}_{bb}={K}_{bb}^{0}{K}_{bi}^{0}({K}_{ii}^{0}{)}^{1}{K}_{ib}^{0}$. Thus, Eq. (2) can be further transformed into a form of state space vector:
${S}_{aa}={K}_{ab}^{1}{K}_{aa},{S}_{ab}={K}_{ab}^{1},{S}_{ba}={K}_{ba}+{K}_{bb}{K}_{ab}^{1}{K}_{aa},{S}_{bb}={K}_{bb}{K}_{ab}^{1}.$
where $S$ is the wave propagation transformation matrix. $\mu $ is the propagation coefficient and eigenvalues of $S$, and so is 1/$\mu $. In addition, $\varphi $ is defined as the corresponding eigenvector. Therefore, 2$n$ eigenvectors can constitute the following matrix equation:
${P}_{a}$ and ${P}_{b}$ are the dynamic stiffness matrixes of the left and righthand interfaces of the substructure, which can be obtained from the characteristic vector matrix $\mathrm{\Phi}$:
The degrees of freedom ${u}_{a}$ and ${u}_{b}$ in Eq. (2) be expressed in mode space as:
where $a$ and $b$ are coefficient vectors. By eliminating the internal degree of freedom ${u}_{i}$ in Eq. (2), the equation about the undetermined coefficients $a$ and $b$ can be expressed as below:
where ${K}_{aa}^{\mathrm{*}}=\left({K}_{aa}+{P}_{a}\right){X}_{b}$, ${K}_{ab}^{\mathrm{*}}={K}_{ab}{X}_{a}$, ${K}_{bb}^{\mathrm{*}}=\left({K}_{bb}+{P}_{b}\right){X}_{a}$, and ${K}_{ba}^{\mathrm{*}}={K}_{ba}{X}_{b}$; in addition, ${p}_{ea}={f}_{a}{K}_{ai}^{0}({K}_{ii}^{0}{)}^{1}{f}_{i}$, and ${p}_{eb}={f}_{b}{K}_{bi}^{0}({K}_{ii}^{0}{)}^{1}{f}_{i}$.
After getting the vectors $a$ and $b$ through the above equation, the required responses ${u}_{k}$, ${p}_{k}$ at the $k$th interface of the periodic structure can be obtained in accordance with Eq. (9):
where the subscripts $l$ and $r$ of ${u}_{k}$, ${p}_{k}$ mean the left and righthand interfaces of the substructure; positive $k$ is to the right of the loaded substructure and negative $k$ is to its left, with the zeroth interface being between the loaded substructure and the one to its right for $k>0$ and to its left for $k<0$.
2.2.2. The symplectic model of embedded long sleeper ballastless track
The track is regarded as a periodic structure in which the substructure consists of the pair of rails between neighboring sleepers, and the pair of rails is represented by a single BernoulliEuler beam.
The track has four degrees of freedom, including the vertical and rotational degrees of freedom (${z}_{u1}$, ${\theta}_{u1}$, ${z}_{u2}$ and ${\theta}_{u2}$) at each of its two interfaces of the beam. When the track subjected to steadystate harmonic excitation, its equation of motion is expressed as:
where ${K}_{r}$, ${C}_{r}$, ${M}_{r}$ are the stiffness matrix, damping matrix and mass matrix of the track; ${u}_{ri}$ is the displacement response of the $i$th substructure; ${K}_{r}^{d}$ is the dynamic stiffness matrix of the substructure; ${p}_{r}$ are the corresponding nodal force vectors; ${f}_{wri}$ is the wheelrail force; ${N}_{ri}$ is the shape function column vector of the BernoulliEuler beam element.
Then, Eq. (10) can be expressed as:
Thus, the displacements of the left and righthand interfaces of the $i$th substructure caused by the wheelrail force ${f}_{wri}$ can be obtained through Eq. (10), as shown below:
where $k$ represents the number of interfaces between the center of the $j$th substructure and the $i$th interaction force and; $k\ge 1$suggests the right substructure and $k\le 1$ represents the left substructure; ${u}_{l,i}$ and ${u}_{r,i}$ are the displacements of the left and righthand interfaces at the $i$th contact position, respectively.
2.3. Vehicletrack vertical coupled relations
Assuming that the vehicle and the track are connected through linear Hertz contact spring ${k}_{h}$ [21], the wheelrail force can be thus expressed as:
where ${u}_{ri}$ is the displacement of the rail at the $i$th wheelrail contact point, ${r}_{i}$ is the pseudo track irregularity, ${u}_{wi}$ is the displacement of the $i$th wheel set.
For a single carriage, there are four contact points between wheel and rail. The left and righthand displacement vectors of the $i$th substructure, ${u}_{l,i}$ and ${u}_{r,i}$, can be obtained as the sum of the responses caused by each of the four wheelrail forces, i.e.:
Consequently, the displacement of the rail at the contact point is expressed as:
Further, the equation of motion of the coupled vehicletrack system can be obtained:
where $\stackrel{}{K}$is the dynamic stiffness matrix of the coupled system, $\stackrel{}{U}={\left\{{u}_{v},{b}_{1},{a}_{1},{b}_{2},{a}_{2},{b}_{3},{a}_{3},{b}_{4},{a}_{4}\right\}}^{T}$, and $\stackrel{}{F}$ is the pseudo force vector.
2.4. Pseudoexcitation method for random vibration of the vehicletrack coupled system
Pseudoexcitation method is an accurate and efficient random vibration analysis method. The stationary random vibration analysis can be equivalent to the harmonic vibration analysis.
(a) ${S}_{xx}\to H\left(\omega \right)\to {S}_{uu}={\leftH\right}^{2}{S}_{xx}$,
(b) $x={e}^{i\omega t}\to H\left(\omega \right)\to u=H{e}^{\omega t}$,
(c) $\stackrel{~}{x}=\sqrt{{S}_{xx}}{e}^{i\omega t}\to H\left(\omega \right)\to \stackrel{~}{u}=\sqrt{{S}_{xx}}H{e}^{i\omega t}$.
Basic principle of pseudoexcitation method is shown in Fig. 4. According to the traditional random vibration theories, when the linear system is subjected to the singlepoint stationary random excitation of the PSD ${S}_{xx}$, the response PSD of the system ${S}_{uu}$ is shown in Fig. 4(a); if the system is subjected to the unit harmonic load ${e}^{i\omega t}$, its corresponding response will be shown in Fig. 4(b); According to the nature of linear system, if $\sqrt{{S}_{xx}}$ is multiplied by the unit harmonic load ${e}^{i\omega t}$, its response should also be multiplied by $\sqrt{{S}_{xx}}$, as shown in Fig. 4(c). Thus, the pseudo excitation $\sqrt{{S}_{xx}}{e}^{i\omega t}$ can be constructed, and the pseudo response $\stackrel{~}{u}$ can be obtained. In this way, the response PSD can be acquired by multiplying pseudo response with its complex conjugate:
Based on the pseudoexcitation method, we can know that if the PSD of the track irregularity ${S}_{r}\left(\omega \right)$ is known, the pseudoexcitation vectors of the single carriage at the four vehicletrack contact points can be constructed:
where ${t}_{2}=\left(2{l}_{t}\right)/v$, ${t}_{3}=\left(2{l}_{c}\right)/v$, and ${t}_{4}=2({l}_{t}+{l}_{c})/v$; $v$ is the vehicle speed. After the pseudoexcitation is introduced, the pseudo force vector $\stackrel{}{F}$ of the vehicletrack coupled system can be expressed as:
Thus, the pseudo response $\stackrel{~}{u}$ of the vehicletrack coupled system can be obtained, and the PSD of the response $u$ can be solved by means of Eq. (17).
3. Impact of the rail pads frequencydependent stiffness on random vibration of the vehicletrack coupled system
3.1. The main calculation parameters
By using the above symplectic model established for the random vibration of the vehicletrack coupled system，taking the typeB metro vehicle running on the embedded sleeper ballast less track with the American fifthgrade vertical irregularity PSD (with a wavelength longer than 1 m) and the track irregularity PSD of Chinese Shitai line (with a wavelength less than 1 m) at the speed of 80 km/h as a subject for study, the impact of the frequencydependent stiffness of rail pads on the vertical random vibration response of the vehicle body, bogie, wheels and rail in frequency domain is explored. The calculation parameters of the typeB metro vehicle and the embedded sleeper ballast less track are shown in Table 1 and Table 2.
Table 1. Parameters of typeB metro vehicle
Parameters

Values

Parameters

Values

Vehicle body mass, ${M}_{c}$

21.92 t

Primary suspension damping ${C}_{s1}$

5 kN·s/m

Wheelset mass, ${M}_{w}$

1.42 t

Secondary suspension stiffness ${K}_{s2}$

275 kN·m^{1}

Bogie mass, ${M}_{t}$

2.55 t

Secondary suspension damping ${C}_{s2}$

30 kN·s/m

Vehicle body inertia, ${J}_{c}$

617.31 t·m^{2}

Bogie spacing, $2{l}_{c}$

12.6 m

Bogie inertia, ${J}_{t}$

1.75 t·m^{2}

Wheelset spacing, $2{l}_{t}$

2.2 m

Primary suspension stiffness ${K}_{s1}$

1700 kN·m^{1}

Contact constant, $G$

5.2e8 m/N^{2/3}

Table 2. Parameters of track model
Track parts

Parameters

Values

Rail

Bending stiffness, EI

6.62×10^{6} N·m^{2}

Linear density, ${m}_{r}$

60.64 kg/m


Fastener system

Rail pad stiffness / ${K}_{r}$

50 kN/mm

Rail pad damping /${C}_{r}$

5.0×10^{4} kN·s/m


Sleeper spacing, $d$

0.6m

3.2. The measurement and prediction of the dynamic mechanical performances of rail pads
As far as most of high polymer materials are concerned, the similar dynamic mechanical performances can be observed at low temperatures or high frequencies. According to TimeTemperature Superposition (TTS) and WLF formula, the temperaturedependent and frequencydependent dynamic mechanical parameters of rail pads can be predicted based on the experimental results at a certain frequency and under the different temperatures.
3.2.1. Timetemperature superposition (TTS) and WLF formula
For the high polymer material with the density of $\rho $, the stiffness of $K\text{'}(f,t)$ and $K\text{'}(f,t)$ at the frequency of $f$ and the Kelvin temperature of $T$ can be converted as the stiffness of ${K}^{\text{'}}[f\alpha \left(T\right),{T}_{0}]$ and ${K}^{\text{'}}[f\alpha \left(T\right),{T}_{0}]$ at the naturalized frequency of $f\alpha \left(T\right)$ and the reference temperature of ${T}_{0}$ by the following Eq. (20)(21).
In Eq. (20)(21), $\alpha \left(T\right)$ is the conversion coefficient of temperatures, $T$ is the test Kelvin temperature (unit: K), ${T}_{0}$ is the reference temperature (unit: K); $f$ is the test frequency (unit: Hz), $f\alpha \left(T\right)$ is the naturalized frequency (unit: Hz); $\rho $ is the density at the test temperature of $T$ (unit: kg/m3), ${\rho}_{0}$ is the density at the reference temperature of ${T}_{0}$ (unit: kg/m^{3}).
In general, the influence of temperatures on the dynamic mechanical property of high polymer materials is far greater than the effect of frequencies, and these measurements to alter temperatures can be easily achieved in a broad temperature range. Therefore, the naturalized frequency of $f\alpha \left(T\right)$ is much higher than the test frequency of $f$. The conversion factor of $\alpha \left(T\right)$ can be calculated by WLF equation [22], see Eq. (22):
In Eq. (22), ${C}_{1}$ and ${C}_{2}$ are two constants, which has relation with the reference temperature of ${T}_{0}$ and the types of high polymer materials.
In order to obtain the temperaturedependent and frequencydependent dynamic mechanical parameters of the test pads by application TimeTemperature Superposition (TTS) and WLF formula, the suggested procedure is as following.
(1) The centigrade scale (unit: °C) used in this test should be equivalent to the absolute scale (unit: K).
(2) The glassy transformation temperatures (${T}_{g}$) of the test pads can be determined by their maximum temperaturedependent loss factors. In this test, the glassy transformation temperatures of WJ7 rail pads are –40 °C, –45 °C and –45 °C, respectively. According to ISO46641, if the glassy transformation temperatures are regarded as the reference temperature, ${C}_{1}$ and ${C}_{2}$ are 17.44 and 51.6 K in WLF formula, respectively.
(3) If another temperature is regarded as the reference temperature, ${C}_{1}^{\text{'}}$ and ${C}_{2}^{\text{'}}$ at the corresponding reference temperature can be calculated by using Eq. (23)(25):
(4) In terms of the corresponding constants ${C}_{1}$ (${C}_{1}^{\text{'}}$) and ${C}_{2}$ (${C}_{2}^{\text{'}}$) at the different reference temperatures, the conversion factor of $\alpha \left(T\right)$ can be calculated by WLF formula (Eq. (22)).
(5) The density of ${\rho}_{0}$ at the reference temperature of ${T}_{0}$ can be approximately obtained by using Eq. (26), in which the volume expansion coefficient of $af$ is 4.8×10^{4}/K:
3.2.2. Experimental parameters
In this test, the fullsize rail pads of WJ7 fasteners which was often used in China’ highspeed railway, the universal testing machine equipped with a temperature control box, a section of steel rail (60 kg/m), several emery cloths, a loading steel plate and two supporting steel plates (Fig. 5).
In view of China’s highspeed vehicle’s dynamic weight of 8×85 kN (increasing by 10 % than its actual static weight), the preload of two springs in a fastener (generally, about 20 kN) and the loadsharing scale of a fastener (generally, 0.40.6), the exciting dynamic loads on a rail pad should reciprocate between 20 kN and 70 kN. For safety’s sake, the periodic dynamic forcedisplacement curves of the test rail pads were measured at a certain frequency of 0.3 Hz and under the different temperature points of –60+20 °C with an interval of 2.5 °C. The periodic dynamic forcedisplacement curves of WJ7 rail pads at 0.3 Hz and under –30 and +20 °C are shown in Fig. 6.
Fig. 5. a) Universal testing machine equipped with a temperature control box in which the dynamic mechanical parameters of the soft pads in b) WJ7 fasteners are measured under –60+20 °C
According to periodic dynamic forcedisplacement curves of linear viscoelastic materials, the stiffness of the soft pads in WJ7 fasteners can be obtained at 0.3 Hz and under the temperatures of –60+20 °C with an interval of 2.5 °C, as shown in Fig. 7.
Fig. 6. The periodic dynamic forcedisplacement curves of WJ7 rail pads at 0.3 Hz and under 20 °C
Fig. 7. The stiffness of WJ7 rail pad at 0.3 Hz and under the temperatures of –60+20 °C
3.2.3. Prediction of the untested dynamic mechanical performances of rail pads
Since the dominant frequencies of the environment vibrations due to highspeed railway are low, only the stiffness of the soft pads in WJ7 fasteners within 1000 Hz are predicted under the temperatures of –60+20 °C.
Fig. 8 shows the frequencydependent stiffness of the test pads in WJ7 fasteners within 1000 Hz and under –30, –10 and +20 °C. It is clear that the actual dynamic mechanical parameters of rail pads are not supposed to be the frequencyindependent and temperatureindependent constants. Overall, the stiffness of rail pads increase with the decrease of temperatures or the increase of frequencies.
It can be found that the stiffness of rail pad of different kinds of high polymer materials and the excitation frequency approximately form a linear relationship under the logarithmic coordinate system [2325], as expressed in Eq. (27):
where ${K}_{0}$ is the lowfrequency initial stiffness of the rail pad at the low excitation frequency ${f}_{0}$ (usually ${f}_{0}=$ 35 Hz); $k$ is the slope of the linear relationship between the rail pad stiffness and excitation frequency under the logarithmic coordinate system, representing the frequencydependent extent (or frequentdependent degree) of the rail pad stiffness. It can be easily seen from Eq. (27) that the relationship between the stiffness of rail pad of different materials and the excitation frequency mainly depends on its lowfrequency initial stiffness ${K}_{0}$ and its stiffness' frequencydependent extent $k$.
According to the experimental data, the linear slope for the changes in the stiffness of WJ7 rail pad with the frequency under the logarithmic coordinate system is all 0.07 under –30, –10 and +20 °C; in addition, the initial stiffness of WJ7 rail pad is 31.0, 45.2 and 70.8 kN/mm under an excitation of 35 Hz.
Fig. 8. The frequencydependent stiffness of WJ7 rail pad within 100 Hz and under –30, –10 and +20 °C
3.3. The impact of the rail pad frequencydependent stiffness on the random vibration response of the coupled vehicletrack system
The comparison of impact the rail pad frequencydependent stiffness and constant stiffness on the random vibration response of the coupled vehicletrack system at the temperature of 20 °C was presented. The vertical random vibration acceleration of the vehicle body, bogie, wheelset and rail under these two calculation conditions are shown in Fig. 912.
Fig. 9 shows the PSD of the vertical random vibration acceleration of the vehicle body under the rail pad constant stiffness and frequencydependent stiffness. It can be seen from Fig. 9 that the calculation results under the two calculation conditions basically overlap. This result suggests that the impact of the rail pad frequencydependent stiffness on the vertical random vibration response of the vehicle body can be neglected.
Fig. 10 presents the PSD of the vertical random vibration acceleration of the bogie under the rail pad constant stiffness and frequencydependent stiffness. It can be seen from Fig. 10 that the calculation results under the two calculation conditions have very little difference within 15 Hz. By reading the PSD peak value at 7.02 Hz, we can know that there is only a small gap of 2.0×10^{6} m^{2}/s^{4}/ Hz between these two conditions, as shown in Fig. 10(a). However, as the frequency varies within 20100 Hz, there is a huge difference between them, as shown in Fig. 10(b). For example, when the frequency varies within 2045 Hz, given that the calculation condition of the frequencydependent stiffness of rail pads has a small calculation value, namely, the calculation result under the rail pad frequencydependent stiffness is 88.5 % of that under the rail pad constant stiffness at Point A in Fig. 10(b); yet, with the frequency range of 45100 Hz, the calculation result under the constant stiffness condition is small, namely, the calculation result under the rail pad constant stiffness is only 56.1 % of that under the rail pad frequencydependent stiffness at Point B in Fig. 10(b). Thus, it is not hard to find that the calculation result without considering the frequencydependent stiffness of the rail pads will not only underestimate the vibration of the bogie within the frequency range of 45100 Hz but also overestimate the vibration with the frequency range of 2045 Hz. In other words, the rail pad characteristic of the frequencydependent stiffness changes the distribution of the random vibration of the bogie in the frequency domain.
Fig. 9. PSD of vertical random vibration acceleration of the vehicle body
Fig. 10. PSD of the vertical random vibration acceleration of the bogie
a) 0100 Hz
b) 20100 Hz
Fig. 11 shows the PSD of the vertical random vibration acceleration of the wheelset under two different calculation conditions. It can be seen that, the frequencydomain random vibration acceleration of the wheelsets mainly concentrate within the range of 30100 Hz. In addition, it can be seen from Fig. 11 that, compared with the calculation condition of rail pad constant stiffness, the frequencydependent stiffness not only significantly increases the vertical random vibration acceleration of the wheelset within the frequency range of 50200 Hz, but also enhances the 1st dominant frequency. Fig. 11 suggests that, when the rail pad stiffness is constant, the highest PSD peak of the vertical random vibration acceleration of the wheelset reaches 8.82 m^{2}/s^{4}/Hz and corresponds to the 1st dominant frequency of 47.9 Hz; when the rail pad stiffness is frequencydependent, the highest PSD peak of the vertical random vibration acceleration of the wheelset rises to 13.5 m^{2}/s^{4}/Hz and its corresponding 1st dominant frequency also increases to 57.1 Hz. To sum up, the frequencydependent stiffness of rail pad alters not only the frequencydomain amplitudes of the vibration but also its frequencydistribution at center frequencies higher than 30 Hz. The random vibration of the wheel is transferred to the high frequency in the frequency domain.
Fig. 12(a) shows that in the range of 0100 Hz, the effect of frequencydependent rigidity on the random vibration of the rail is basically the same as that of the wheelset, that is, the frequencydependent stiffness of rail pads clearly decreases the random vibration of rail below 50 Hz, and significantly increases the random vibration of rail above 50 Hz. In the frequency range of 1001000 Hz, the PSD peak fluctuation of the rail vibration acceleration power spectrum is very severe, which is caused by the periodic vibration of the rail due to the fixed wheelbase according to the existing research [26]. There is a peak at 840 Hz, which is mainly due to the selfvibration characteristics of the rails, on the overall trend of the rail acceleration PSD. Fig. 12(b) shows that every two adjacent peaks of the rail vibration acceleration PSD between the frequency interval ${f}_{int}$ is equal to $v/l$ (10 Hz), where $v$ is the vehicle speed, $l$ is a fixed wheelbase. In addition, the influence of frequencydependent stiffness on the response of the rail vibration acceleration becomes very small in this frequency domain, and the difference between the two cases is only 1 %. The random vibration curve of the rail is the shape of the wave mainly due to two reasons which are due to the periodic vibration caused by the fixed wheelbase of the vehicle body and the freevibration characteristic of the track structure itself.
Fig. 11. PSD of the vertical random vibration acceleration of the 2nd wheelset
Fig. 12. PSD of the acceleration of the rail the under the 2nd wheelset
a) 01000 Hz
b) 820860 Hz
3.4. The impact of the environment temperature on the random vibration response of the coupled vehicletrack system
The experimental results show that the stiffness of the fastener is not only affected by the excitation frequency, but also has a great relationship with the environment temperature. In this section, we will study the influence of the frequencydependent and temperaturedependent stiffness of the rail pads on the random vibration of the vehicletrack coupled system. In this analysis, the frequencydependent extent $k$ of the rail pads stiffness is taken as 0.07 and the environment temperature is considered as –30, –10 and 20 °C.
Fig. 13 shows the random response of the vehicle body under three temperature conditions. The calculated results are in good agreement with each other, indicating that the impact of the rail pads temperaturedependent stiffness on the response of the vehicle body is negligible.
Fig. 14 shows the random vibration acceleration response spectrum of the bogie at three temperatures. Fig. 14(a) can be seen that the calculation results of the three conditions in the 020 Hz range is basically the same, but the difference in the 20100 Hz range is obvious. Fig. 14(b) shows that at the peak A position, the bogie acceleration response PSD peak at the three ambient temperatures (–30, –10 and 20 °C) is 4.51×10^{3} m^{2}/s^{4}/Hz, 1.78×10^{3} m^{2}/s^{4}/Hz and 4.60×10^{4} m^{2}/s^{4}/Hz, respectively corresponding to the dominant frequency of 71.2 Hz, 70.0 Hz and 70.0 Hz. In summary, the temperaturedependent stiffness of the rail pads only affects the amplitude of the PSD in the frequency domain above 20 Hz, and the influence on the main frequency is relatively small. With the frequency of 63 Hz as the critical position, when the frequency is less than 63 Hz, the higher the temperature, the PSD peak of the bogie random vibration acceleration greater, but when the frequency is more than 63 Hz, the conclusion is just the opposite. It indicates that the law of the temperaturedependent stiffness of the rail pads on the random vibration of the bogie is different in different frequency bands.
Fig. 13. PSD of vertical random vibration acceleration of the vehicle body
Fig. 14. PSD of the vertical random vibration acceleration of the bogie
a) 0100 Hz
b) 20100 Hz
Fig. 15 shows the results of the wheelset acceleration PSD under three ambient temperatures. It is not difficult to find that the temperature variation stiffness of the fastener has great influence on the wheel acceleration response, including the peak value and the corresponding dominant frequency. The PSD peak of the wheelset acceleration response is 63.4 m^{2}/s^{4}/Hz, 27.5 m^{2}/s^{4}/Hz and 13.1 m^{2}/s^{4}/Hz respectively, and the corresponding dominant frequencies are 73.4 Hz, 63.1 Hz and 50.3 Hz. The lower the temperature, the greater the peak value of the wheelset acceleration PSD and the higher the corresponding dominant frequency, and this change was a nonlinear increase in the trend. This is because the rail pads stiffness decreases gradually with the temperature, making the resonance frequency of the wheelrail coupled system increases, so that the energy of wheel random vibration transfer to the highfrequency domain. As the temperature increases linearly, the increasing trend of the peak value of the random vibration acceleration PSD of the wheel is nonlinear.
Fig. 16 shows the random vibration PSD of the rail under three temperatures. The influence of the rail pads temperaturedependent stiffness on the rail acceleration is the same in the range of 0200 Hz, and the effect of temperature on the rail acceleration response is gradually reduced in 200600 Hz. The difference between the three temperature conditions is stable above 600 Hz, and the difference is less than 5 %. It is shown that the rail pads temperaturedependent stiffness only affects the rail acceleration within 200 Hz, but less on the high frequency vibration above 200 Hz. Because the fastener is in direct contact with the rail, the stiffness of the fastener pad has a certain influence on the whole frequency domain of the rail, and the influence law is complicated and nonlinear.
Fig. 15. PSD of the 2nd wheelset acceleration
Fig. 16. PSD of the acceleration of the rail under the 2nd wheelset
With the comparison of Fig. 11 and Fig. 15, considering the range of environment temperature and the frequencydependent extent of the rail pads of WJ7 fastener, the PSD peak of the vertical random vibration acceleration of the wheelsets gets the maximal increase of 3.3 times at least, and its 1st dominant frequency has the biggest increment of 20.6 Hz or more. Therefore, in order to accurately analyze the random vibration responses of the vehicletrack coupled system, experiments must be conducted to obtain the accurate kinetic parameters of the polymer materials like rail pads.
4. Conclusions
The symplectic method and random vibration pseudoexcitation method of infinitely periodic substructure are adopted to establish an efficient symplectic model of vertical random vibration of the vehicletrack coupled system for exploration of the impact of the rail pad frequencydependent and temperaturedependent stiffness on the vertical random variation response of the vehicle body, bogie, wheelsets and rail. The conclusions and suggestions are as follows:
1) According to TimeTemperature Superposition (TTS) and WLF formula, the temperaturedependent and frequencydependent dynamic mechanical parameters of rail pads can be predicted based on the experimental results at a certain frequency and under the different temperatures. The frequencydependent stiffness of the test rail pads in WJ7 fasteners within 1000 Hz is predicted under the temperatures of –30, –10 and +20 °C, and the predicted results show that the rail pads stiffness increase with the decrease of temperatures or the increase of frequencies.
2) The impact of rail pad frequencydependent stiffness on the vertical random vibration of the vehicle body is negligible; yet, it will change the vertical random vibration amplitude of the bogie with the frequency range of 20100 Hz and significantly improve the PSD peak of the vertical random vibration acceleration of the wheelsets and rail and its corresponding 1st dominant frequency, thereby causing the frequency domain redistribution of the vertical random vibration of the bogie, wheelsets and fundamental structure under wheels.
3) The random vibration of the vehicletrack coupled system under different temperature is studied considering the rail pads stiffness variation with the excitation frequency. The influence of the rail pads temperaturedependent stiffness on the response of the vehicle body is negligible, but the influence on the acceleration of the bogie, wheelset and rail is significant in the frequency range of 20100 Hz. For the response of the wheelsets and rail, the lower the temperature, the greater the peak value of the wheelset acceleration PSD and the higher the corresponding dominant frequency, and this change presented a nonlinear increase on the trend.
4) Within the range of environment temperature and the frequencydependent extent of rail pads in the railway, the PSD peak of the vertical random vibration acceleration of the wheelsets and rail gets the largest increase of 3.3 times at least, and the maximum increment for their 1st dominant frequency also reaches up to 20.6 Hz or more. Therefore, in order to accurately predict the random vibration responses of the vehicletrack coupled system, experiments must be conducted to obtain the accurate kinetic parameters of the polymer materials like rail pads.
Acknowledgements
This research was supported by National Youth Natural Science Foundation of China (Grant No. 51608460), National Natural Science Foundation of China (Grant No. 51578468), National Outstanding Youth Science Foundation of China (Grant No. 51425804), Joint Funds from both Chinese Highspeed Railway Company and the National Natural Science Foundation of China (Grant U1434201).
References
 Zhai W. M., Sun X. A detailed model for investigating vertical interaction between railway vehicle and track. Vehicle System Dynamics, Vol. 23, Issue 23, 1994, p. 603615. [Publisher]
 Dumitriu D., Baldovin D., Sireteanu T. Numerical simulation of the vertical interaction between railway vehicle and track. Proceedings of the Annual Symposium of the Institute of Solid Mechanics with International Participation, Bucharest, 2004 [Search CrossRef]
 Popp K., Kaiser I., Kruse H. System dynamics of railway vehicles and track. Archive of Applied Mechanics, Vol. 72, Issue 11, 2003, p. 949961. [Search CrossRef]
 Lund J. W. Stability and damped critical speeds of a flexible rotor in fluidfilm bearings. ASME Journal of Engineering for Industry, Vol. 96, Issue 2, 1974, p. 509517. [Publisher]
 Leung A. Y. T. An accurate method of dynamic substructuring with simplified computation. International Journal for Numerical Methods in Engineering, Vol. 14, Issue 8, 1979, p. 12411256. [Publisher]
 Cai G. Q., Lin Y. K. Wave propagation and scattering in structural networks. Journal of Engineering Mechanics, Vol. 117, Issue 7, 1991, p. 15551574. [Publisher]
 Mencik J. M. New advances in the forced response computation of periodic structures using the wave finite element (WFE) method. Computational Mechanics, Vol. 54, Issue 3, 2014, p. 789801. [Publisher]
 Mead D. J. Vibration response and wave propagation in periodic structures. Journal of Engineering for Industry, Vol. 93, Issue 3, 1971, p. 783792. [Publisher]
 Zhong W. X., Williams F. W. Wave problems for repetitive structures and symplectic mathematics. ARCHIVE Proceedings of the Institution of Mechanical Engineers, Part C, Journal of Mechanical Engineering Science, Vol. 206, Issue 63, 1992, p. 371379. [Publisher]
 Zhou M., Zhong W. X., Williams F. W. Wave propagation in substructural chaintype structures excited by harmonic forces. International Journal of Mechanical Sciences, Vol. 35, Issue 11, 1993, p. 953964. [Publisher]
 Lin J. H., Zhang W. X., Li J. Structural responses to arbitrarily coherent stationary random excitations. Computers and Structures, Vol. 50, Issue 5, 1994, p. 629633. [Publisher]
 Lin J. H., Fan Y., Bennett P. N., Williams F. W. Propagation of stationary random waves along substructural chains. Journal of Sound and Vibration, Vol. 180, 1995, p. 757767. [Publisher]
 Lu F., Kennedy D., William F. W., Lin J. H. Symplectic analysis of vertical random vibration for coupled vehicletrack systems. Journal of Sound and Vibration, Vol. 317, 2008, p. 236249. [Publisher]
 Jones D. I. G. Handbook of Viscoelastic Vibration Damping. John Wiley and Sons, New York, 2001. [Search CrossRef]
 Carrascal I. A., Casado J. A., Polanco J. A., et al. Dynamic behavior of railway fastening setting pads. Engineering Failure Analysis, Vol. 14, 2007, p. 364373. [Publisher]
 Luo Y., Liu Y., Yin H. P. Numerical investigation of nonlinear of properties of a rubber absorber in rail fastening systems. International Journal of Mechanical Sciences, Vol. 69, 2013, p. 107113. [Publisher]
 Squicciarini G., Thompson D. J., Toward M. G., et al. The effect of temperature on railway rolling noise. Proceedings of IMechE, Part F: Journal of Rail Rapid Transit, 2014 [Search CrossRef]
 Smutny J. Measurement and analysis of dynamic and acoustic parameters of rail fastening. NDT&E International, Vol. 37, 2004, p. 119129. [Publisher]
 Lin T. R., Farag N. H., Pan J. Evaluation of frequency dependent rubber mount stiffness and damping by impact test. Applied Acoustics, Vol. 66, 2005, p. 829844. [Publisher]
 Oregui M., Man A. D., Woldekidan M. F., et al. Obtaining railpad properties via dynamic mechanical analysis. Journal of Sound and Vibration, Vol. 363, 2016, p. 460472. [Publisher]
 Remington P. J. Wheel/rail rolling noise, I: Theoretical analysis. The Journal of the Acoustical Society of America, Vol. 81, Issue 6, 1987, p. 18051823. [Publisher]
 Dooliffle A. K. Studies in Newtonian flow II – The dependence of the viscosity of liquids on free space. Journal of Applied Physics, Vol. 22, 1955, p. 14711475. [Search CrossRef]
 Thompson D. J., Verheij J. W. The dynamic behaviour of rail fasteners at high frequencies. Applied Acoustics, Vol. 52, Issue 1, 1997, p. 117. [Publisher]
 Fenander A. Frequency dependent stiffness and damping of railpads. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, Vol. 211, 1997, p. 5162. [Publisher]
 Maes J., Sol H., Guillaume P. Measurements of the dynamic railpad properties. Journal of Sound and Vibration, Vol. 293, 2006, p. 557565. [Publisher]
 Ju S. H., Lin H. T., Huang J. Y. Dominant frequencies of traininduced vibrations. Journal of Sound and Vibration, Vol. 319, 2009, p. 247259. [Publisher]
Cited By
Vehicle System Dynamics
Fan Yang, Ping Wang, Kai Wei, Feng Wang

2020
