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  • 标题:Numerical simulation of railway track supporting system using finite-infinite and thin layer elements under impulsive loads/Gelezinkelio begiu sistemos skaitmeninis modeliavimas naudojant baigtinius begalinius ir plonasienius elementus, veikiamus dinaminemis apkrovomis.
  • 作者:Noorzaei, Jamaloddin ; Pour, Parviz Moradi ; Jaafar, Mohamed Saleh
  • 期刊名称:Journal of Civil Engineering and Management
  • 印刷版ISSN:1392-3730
  • 出版年度:2012
  • 期号:April
  • 语种:English
  • 出版社:Vilnius Gediminas Technical University
  • 摘要:In railway transport, there is an ongoing demand for performance increase, which is driven by the need to keep a competitive edge against other modes of transport, such as aircrafts, cars and ships. This requires advance technical requirements in their analysis and design procedures. Most of the railway track system consists of rails, sleepers, ballast, sub-ballast and sub-grades. It is essential to use numerical model that realistically represents the actual behavior of this track system subjected to actual load. Most of the investigators make use of finite element for the purpose of physical and material modeling. For example, a linear elastic analysis was performed for rail track support systems by Desai et al. (1982), using a three dimensional finite isoparametric solid elements for the discretization purpose. To simulate static linear dynamic response of the moving train on track supporting media, Kok (1997) has used the following elements:
  • 关键词:Mathematical models;Railroad tracks;Railroads;Strains and stresses;Stress concentration;Stress relaxation (Materials);Stress relieving (Materials);Stresses (Materials)

Numerical simulation of railway track supporting system using finite-infinite and thin layer elements under impulsive loads/Gelezinkelio begiu sistemos skaitmeninis modeliavimas naudojant baigtinius begalinius ir plonasienius elementus, veikiamus dinaminemis apkrovomis.


Noorzaei, Jamaloddin ; Pour, Parviz Moradi ; Jaafar, Mohamed Saleh 等


1. Introduction

In railway transport, there is an ongoing demand for performance increase, which is driven by the need to keep a competitive edge against other modes of transport, such as aircrafts, cars and ships. This requires advance technical requirements in their analysis and design procedures. Most of the railway track system consists of rails, sleepers, ballast, sub-ballast and sub-grades. It is essential to use numerical model that realistically represents the actual behavior of this track system subjected to actual load. Most of the investigators make use of finite element for the purpose of physical and material modeling. For example, a linear elastic analysis was performed for rail track support systems by Desai et al. (1982), using a three dimensional finite isoparametric solid elements for the discretization purpose. To simulate static linear dynamic response of the moving train on track supporting media, Kok (1997) has used the following elements:

--Thimoshenko beam to model the railway track supporting media;

--Four-node element to represent the sleeper;

--Gap element to account for the contact between the sleepers and ballast.

The response of the railway-track-supporting structure has been discussed with respect to displacements, bending moments and shear forces. The authors ignored effect of flexibility of the bedding system.

Lombaert et al. (2006) proposed a 2.5-dimensional model which account for rail, rail pad, floating slab and slab mat by ignoring the track soil interface. Steenbergen and Metrikine (2007) used the classical model that is beam on an elastic half space to model slab-track railway system subjected to vertical axle of a running train. The study was focused on the effect of the interface modeling between the beam and half space on the dynamic response of the track surrounding soil. The finite element modeling was employed to develop a dynamic model incorporating concrete sleeper and ballast. The emphasis was placed on partial and full interaction between the sleeper and ballast (Kaewunruen, Remennikov 2007).

The response of supported structure which can be described using a 2.5-D finite element model, subjected to a moving or stationary harmonic loading was formulated by Sheng et al. (2005).

A general numerical model was developed by Galvi'n et al. (2010a) to analyze the High-Speed-Train (HST) dynamic interactions and their effects on nearby structures. The model was analyzed in 3-D using finite element and boundary element formulations. The study was done for two cases, in first case; the train speed was lower than the Rayleigh wave velocity in the soil, while results were in a good agreement with experimental in the second case it was higher. In both cases the computed results.

Another numerical study by means of a 2.5D coupled finite element boundary element model was carried out by Galvi'n et al. (2010b) in order to prediction of railway induced vibrations. One case is considered a ballasted track on an embankment using two alternatives models. In the first model the ballast and embankment were modeled by 2.5 solid elements in continuum mechanics, while the second model was simplicity represented. The comparison of the results in both methods with the real measurements at a site in Reugng, France, showed there is a very big difference due to disregarding in the simplified representation.

From literatures, it can be concluded that most of the researchers employed numerical or semi numerical methods to simulate the railway track-sleeper-ballast-sub-ballast-supporting soil system. There is no or little literature available on complete finite element modeling railway-track-ballast-sub-ballast and supporting soil under dynamic loading. There is no literature on effect of soil nonlinearity on overall responses of railway track supporting system. The present study is continuation of authors' previous work (Noorzaei et al. 2009) where the nonlinear response of railway track and supporting structures were investigated under static loads. This study focuses on the following objectives:

a) To develop a numerical tool using finite element technique which is able to integrate the railway track supporting media as a single compatible unit when the system subjected to dynamic loadings such as impact loads;

b) To consider elasto-plastic constitutive law for the materials involved in railway track supporting media;

c) To develop a F.E. code based on the items a and b;

d) To evaluate the safety of railway track supporting system under dynamic loads.

However, in the present study the effect of track structure has been neglected.

2. Proposed physical modeling of the railway track supporting system

The following elements are used to represent the railway track supporting system:

--The eight-node isoparametric element is used to model the railway track-sleepers and supporting media (Zienkiewicz 1983).

--Five-node infinite element to represent the far field behavior. The coupling of this element with conventional finite element was presented by Viladkar et al. (1991) and Noorzaei et al. (1994).

--Six node thin layer element to account for the interfacial behavior between the sleepers and ballast.

These elements along with their functions are published in authors' previous article (Noorzaei et al. 2009).

3. Constitutive modeling

In the problem of railway Track-Support system the following yield criterions were adopted.

3.1. Von Mises yield criterion

The Von Mises yield criterion suggested that yielding occurs when ([J'.sub.2]) reaches a critical value t:

[([J'.sub.2]).sup.1/2] = Q(k), (1)

where: (k) = a material parameter to be determined; ([J'.sub.2]) = the second deviatory stress variant.

The Von Mises yield criterion was utilized to represent the elasto-plastic behavior of the railway track.

3.2. Drucker-Prager yield criterion

The Drucker-Prager yield criterion (Drucker, Prager 1952) is expressed as:

[alpha][J.sub.1] + [([J'.sub.2]).sup.1/2] = k, (2)

where:

[alpha] = 2 sin [phi]/[square root of (3)(3 - sin [phi])]; (3a)

k' = 6c cos [phi]/[square root of (3)(3 - sin [phi])]; (3b)

([J.sub.1]) = the first stress invariant of deviatoric stress components; [phi] = friction angle; c = coefficient value of material.

The elasto-plastic behavior of the sleeper, ballast and sub-ballast was represented by Drucker-Prager yield criterion.

3.3. Mohr-Coulomb yield criterion

The Mohr-Coulomb yield criterion is expressed as:

--Elastic constitutive relationship.

The interface behaviour between the sleeper and ballast in this analysis was represented by 6-node thin layer interface having thickness t (Noorzaei et al. 2009). The elastic global constitutive matrix [[D.sub.e]] is presented by:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (4)

where: [[D.sub.e]] = elasticity matrix for thin layer element; [tk.sub.n], [tk.sub.s] = the shear and normal stiffness respectively; t = thickness of the thin layer.

Within the elastic range the behavior of the thin layer element can be described by the conventional elastic relations:

[{d[epsilon]}.sup.e] = [[D].sub.e] {d[sigma]}; (5)

--Elasto-plastic constitutive relationship.

Theory of plasticity has been used, particularly to describe the failure, yield or ultimate behaviour of interface, while the pre-failure behaviour is assumed to be linear elastic. During an increment of stress d[sigma], the incremental stress-strain relationship for an isotropic elastic-plastic material can be expressed in terms of elastic and plastic strain parts. Thus:

{d[epsilon]} = {d[[epsilon].sup.e]} + {d[[epsilon].sup.p]}. (6)

In elasto-plastic region time effects are considered and the corresponding strain vector is calculated based on:

{d[sigma]} = [[D].sub.ep] {d[epsilon]}. (7)

where:

[D.sub.ep] = [[D] - [D]{a}[{a}.sup.T][[D].sup.T/A + [{a}.sup.T] [D]{a}], (8)

where: f = yield function; Q = potential function; [[D.sub.ep]] = elasticity matrix; A = hardening parameter.

To simulate the relative slipping, debonding and crushing that could take place in the contact area between the rail and ballast, modified Mohr-Coulomb criterion was adopted. Fig. 1 illustrates these regions. An elasto-plastic constitutive law [[D.sub.ep]] was evolved in explicit form for different yielding regions (Noorzaei et al. 2009).

3.3.1. Region I: Debonding mode of deformation

The elasto-plastic matrix [[D.sub.ep]] = for this case is:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (9)

3.3.2. Region II: Slip mode of deformation

The elasto-plastic matrix [[D.sub.ep]] = for this case is:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (10)

3.3.3. Region III: Crushing mode of deformation

The elasto-plastic matrix [[D.sub.ep]] for this case is:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (11)

where: [[sigma].sub.n], [tau] = normal and shear stress respectively; [f.sub.t], [f.sub.c] = tensile and compressive strength respectively; [k.sub.s], [k.sub.n] = the shear and normal stiffness respectively; t = thickness; [phi] = friction angle; [gamma] = tan [phi].tan [phi]; [psi] = dilatancy angle; C = cohesion.

[FIGURE 1 OMITTED]

4. Time marching computational Scheme for dynamic analysis

The equation of motion for an inelastic system obtained from the consideration of equilibrium of forces is given by:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (12)

where: [M] is the mass matrix of the system; {[??]} is the acceleration vector, is the vector of internal resisting force which depends upon the displacement {x} and velocity {[??]} and {f} is the externally applied load vector.

The internal resisting forces are defined by the stiffness matrix [k] and damping matrix [C].

The Newmark's (1959) predictor-corrector (Owen, Hinton 1980) has been adopted for the dynamic solution. In the Newmark's predictor-corrector, the following relations are defined:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (13)

where:

[{x}.sub.t+[increment of t]] = [{[bar.x]}.sub.t+[increment of t]] + [beta] [([increment of t]).sup.2] [{[??]}.sub.t+[increment of t]]; (14a)

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (14b)

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (14c)

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (14d)

Here [beta] and [gamma] are the parameter that control the stability and accuracy of the method. The quantities [{[bar.x]}.sub.t+[increment of t]], [{[bar.[??]]}.sub.t+[increment of t]] are historical values and [{x}.sub.t+[increment of t]], are the corrector values.

In the inelastic solution for thin layer element, the stiffness matrix and damping matrix are reformulated to take into account the effect of cracking, crushing, yielding, opening and slipping that may occur at the interface between the railway track and sleeper.

The Newmark's algorithm for each time step is applied as follows (Newmark 1959):

(1) Set iteration counter j = 0;

(2) Predict the response in term of displacement, velocity and acceleration corresponding to values at time [t.sub.n+1]:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (15a)

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (15b)

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (15c)

(3) Evaluate residual forces using the following Equation:

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (16)

The matrix [K] is modified for each element if cracking, crushing, yielding, opening and slipping within element occurs;

(4) Generate effective stiffness matrix using the following relation:

[[K].sup.*] = [M] [1/[beta][DELTA][t.sup.2]] + [[C].sup.j] [[gamma]/[beta][increment of t]] - [[K].sup.j]; (17)

(5) Solve for incremental displacement:

[[K].sup.*] [{[increment of x]}.sup.j] = [{r}.sup.j]; (18)

(6) Update displacement, acceleration and velocity vectors:

[{[increment of x]}.sup.j+1.sub.t+[increment of t]] = [{x}.sup.j.sub.t+[increment of t]] + [{[increment of x]}.sup.j]; (19a)

[{[??]}.sup.j+1.sub.t+[increment of t]] = -[[{x}.sup.j+1.sub.t+[increment of t]] - [{[bar.x]}.sub.t+[increment of t]]] 1/[beta][DELTA][t.sup.2]; (19b)

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (19c)

(7) If [{[increment of x]}.sup.j] or [{r}.sup.j] do not satisfy the convergence conditions, then set j = j +1 and go to step (3), otherwise continue the next step;

(8) If convergence is achieved; set:

[{x}.sub.t+[increment of t]] = [{x}.sup.j+1.sub.t+[increment of t]]; (20a)

[{[??]}.sub.t+[increment of t]] = [{[??]}.sup.j+1.sub.t+[increment of t]]; (20b)

[{[??]}.sub.t+[increment of t]] = [{[??]}.sup.j+1.sub.t+[increment of t]] (20c)

for use in the next time step. Also set t = t + [increment of t] to begin the next step.

5. Finite element computation program

The proposed finite element idealization and constitutive modeling for different material involved in the problem of railway track-sleeper-ballast-sub-ballast and soil mass have been implemented into the existing two-dimensional finite element (Noorzaei et al. 2005) elasto-plastic dynamic finite element program extensively modified in view of inclusion of the thin layer element and including the following features:

--Multi-elements;

--Static linear analysis and elasto-plastic analysis under static loading;

--Multi-yield criterion elasto-plastic analysis;

--Elasto-plastic analysis under dynamic loads.

6. Analysis of railway track bedding system subjected to dynamic loads

In Malaysia, a typical 5-meter high embankment of double tracking system is usually adopted. The UIC 54 kg rails (169 mm) are provided over the concrete sleepers, which are placed at 600 mm spacing. The sleepers rest over a 300 mm (minimum) thick ballast layer and 300 mm thick sub-ballast layer. The typical geometry of the railway track bedding system is shown in Fig. 2 (Noorzaei et al. 2009). The nonlinearity of the soil has been taken into consideration due to nonlinear nature of the soil using Mohr-Coulomb's Elasto-Plastic model. Material properties are shown in Table 1. Based on earlier works (Desai et al. 1986), the material properties used for thin layer element are:

[k.sub.nn] = 100 000 kN/[cm.sup.2], [k.sub.ss] = 100000 kN/[cm.sup.2], [phi] = 30 [degrees] and c = 0.7.

The railway track supporting system was idealized under plane strain condition (Esveld et al. 1996; Noorzaei et al. 2009). Fig. 3 shows the finite model for railway track supporting media through finite, infinite and thin-layer elements. The thickness of ballast and sub-ballast are 300 mm each. The total number of nodes, elements and types of element used in the finite modeling are also shown in Fig. 3. Fig. 4 shows the impact load with duration applied here is 0.015 sec for the Malaysian Railway System. The dynamic response of the railway supporting structure with respect to displacements, accelerations, principal stresses and yielding pattern are presented in the following discussion. Time domain dynamic analysis was carried out to study the behavior of the railway-track-solid media.

[FIGURE 2 OMITTED]

[FIGURE 3 OMITTED]

[FIGURE 4 OMITTED]

7. Results and discussion

In order to present the time history of the railway-track supporting media with respect to displacements and accelerations, five nodes are selected. Locations of these 5 nodes are shown in Fig. 5.

[FIGURE 5 OMITTED]

The maximum vertical displacement of these 5 nodes has been shown in Table 2. As it was expected the nodes situated near to the zone of the impact load display higher displacements than the nodes located far away from the point of load application. The horizontal displacement is too small compared to the vertical displacement.

Table 3 presents the maximum variation of acceleration in vertical direction for selected nodal points as shown in Fig. 5. Since the dynamic load is applied in vertical direction as shown in Fig. 4, the horizontal acceleration is negligible. Also from this table it can be observed that far nodes from the acting load display the smaller acceleration.

Figs 6a and b show the variation of horizontal and vertical displacements along depth of railway track-sleeper-ballast-soil media respectively. From these plots, it is clear that deformation at the top of the railway track supporting system was evaluated and tends marginal value at the bottom. It is obvious from these plots that evaluated deformations are maximum at the top and reducing along the depth.

7.1 Displacements

[FIGURE 6 OMITTED]

7.2

[FIGURE 7 OMITTED]

Figs 7 and 8 show the distribution of maximum principal stress ([[sigma].sub.1]) and minimum principal stress ([[sigma].sub.3]) along horizontal planes of railway track supporting system respectively with various sections namely Section E-E, F-F, G-G and H-H. It is clear from the plots that stresses are high (-54, -18 and +7.5 kN/[m.sup.2]) at the points of load impact and could lead to failure. Hence there is a need to do safety evaluation.

[FIGURE 8 OMITTED]

8. Yielding pattern and safety evaluation of the system

In order to assess the safety of the railway supporting structures an attempt has been made to carry out the following parametric studies.

--Under constant [increment of t] the load magnitude in Fig. 10 was varied to 5, 10 and 25 times of the marginal intensity;

--The duration of impulsive was taken as [increment of t] = 0.15, 0.20 and 0.5 sec respectively.

Fig. 9 illustrates the spread of plastic flow in the railway supporting structures for L.F = 5, 10 and 25 respectively. It can be noticed from this plot that the plots of plastic flow indicate that railway supporting structure can stand impulse load with load factor = 25 and with minimum number of yield Gauss points.

[FIGURE 9 OMITTED]

Figs 10a-10c show the yielding behavior with duration of time equal 0.15, 0.20 and 0.50 sec respectively.

[FIGURE 10 OMITTED]

From the results, it can be summarized that yielding initially starts from the rail and sleeper and then flows vertically downwards and finally toward the centre of railway line.

9. Conclusions

The primary purpose of the present study is to develop a 2-D dynamic finite element code with multi-element nature. The conventional finite-infinite-thin layer was employed to represent the railway track supporting media. Multi yield criterion concept was used to represent the stress-strain relationship of different materials involved in railway supporting structures. The validity of the developed program code was established against simple examples. Furthermore based on the particular railway track-supporting media analyzed the following primary specific conclusion can be drawn:

--The maximum displacement evaluated for impulsive dynamic load was 22 mm;

--There was no significant spread of plastic flow under varying dynamic load magnitude;

--Special attention should be paid when the duration of impulsive load is increased from 0.15 to 0.5 sec, since there is completed plastic flow in the region of railway track-supporting media;

--Yielding modes starts from the rail and then flow vertically to the centre of railway line implemented of thin-layer element able to capture worst yielding behavior;

--The prediction of failure modes in railway track-supporting system is very important information for future maintenance works. From result of elasto-plastic analysis, the safety factor recommended is between 3 and 5.

doi: 10.3846/13923730.2012.671286

References

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Desai, C. S.; Somasundaram, S.; Frantziskonis, G. 1986. A hierarchical approach for constitutive modelling of geologic materials, International Journal for Numerical and Analytical Methods in Geomechanics 10(3): 225-257. http://dx.doi.org/10.1002/nag.1610100302

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Galvin, P.; Francois, S.; Schevenels, M.; Bongini, E.; Degrande, G.; Lombaert, G. 2010a. A 2.5D coupled FE-BE model for the prediction of railway induced vibrations, Soil Dynamics and Earthquake Engineering 30(12): 1500-1512. http://dx.doi.org/10.1016/j.soildyn.2010.07.001

Galvin, P.; Romero, A.; Dominguez, J. 2010b. Fully three-dimensional analysis of high-speed train-track-soil-structure dynamic interaction, Journal of Sound and Vibration 329(24): 5147-5163. http://dx.doi.org/10.1016/jjsv.2010.06.016

Kaewunruen, S.; Remennikov, A. M. 2007. Investigation of free vibrations of voided concrete sleepers in railway track system, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 221(4): 495-507. http://dx.doi.org/10.1243/09544097JRRT141

Keretapi Tanah melayu Berhad (KTMB). 2003 [cited 7 April 2010]. Available from Internet: http://www.ktmb.com.my

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Lombaert, G.; Degrande, G.; Vanhauwere, B.; Vandeborght, B.; Francois, S. 2006. The control of ground-borne vibrations from railway traffic by means of continuous floating slabs, Journal of Sound and Vibration 297(3-5): 946-961. http://dx.doi.org/10.1016/jjsv.2006.05.013

Newmark, N. M. 1959. A method of computation for structural dyna ics, Journal of the Engineering Mechanics Division ASCE 85(7): 67-94.

Noorzaei, J.; Viladkar, M. N.; Godbole, P. N. 1994. Nonlinear soil-structure interaction in plane frames, Engineering Computations 11(4): 303-316.

Noorzaei, J.; Karami, M.; Thanoon, W. A.; Jaafar, M. S. 2005. Static and dynamic analysis of Rockfill Dam using finite-infinite element method, Pertanika Journal of Science and Technology 13(1): 31-42.

Noorzaei, J.; Thanoon, W. A. M.; Yeat, W. F.; Pour, P. M.; Jaafar, M. S. 2009. Numerical modeling of railway track supporting system using finite-infinite and thin layer elements, International Journal of Engineering Transactions A: Basics 22(2): 131-144.

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Steenbergen, M. J. M. M.; Metrikine, A. V. 2007. The effect of the interface conditions on the dynamic response of a beam on a half-space to a moving load, European Journal of Mechanics--A/Solids 26(1): 33-54. http://dx.doi.org/10.1016/j.euromechsol.2006.03.003

Viladkar, M. N.; Godbole, P. N.; Noorzaei, J. 1991. Soil structure interaction in plane frames using coupled finite-infinite elements, International Journal of Computers & Structures 39(5): 535-546. http://dx.doi.org/10.1016/0045-7949(91)90062-Q

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Jamaloddin Noorzaei (1), Parviz Moradi Pour (2), Mohamed Saleh Jaafar (3), Yong Chooi Fong (4), Waleed Abdul-Malik Thanoon (5)

(1,2,3,4) Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia

(1) Institute of Advance Technology, University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia

(5) Faculty of Engineering, University of Nizwa, Oman

E-mails: (1) jamal@eng.upm.edu.my (corresponding author); (2) parviz.mop@gmail.com; (3) msj@eng.upm.edu.my; (4) yeat@eng.upm.edu.my; (5) w.thanone@unizwa.edu.om

Received 07 Jul. 2010, accepted 11 Feb. 2011

Jamaloddin NOORZAEI. Obtained his PhD at the Indian Institute of Technology, India. His research interests include computational techniques in civil engineering applications especially those related to structural engineering, soil- structure interaction and earthquake engineering. Currently Associate Professor and Head of the Structural Engineering Research group at the University Putra Malaysia (UPM).

Parviz Moradi POUR. PhD, currently works at Institute of Advance Technology in University Putra Malaysia. His main area of interest is finite element modeling.

Mohamed Saleh JAAFAR. Obtained his PhD from the University of Sheffield. Currently Professor and Dean of the Faculty of Engineering UPM, Malaysia; his research interests include concrete and prestressed concrete structures, high performance concrete and structural conditions assessment.

Yong Chooi FONG. Obtained his Master Degree in structural Engineering from University Putra Malaysia. His main area of interest finite element modeling of complex structures.

Waleed Abdul-Malik THANOON. Obtained his PhD study at the Indian Institute of technology, India. His research interests involves earthquake engineering, high performance concrete and structural conditions assessment. Currently Professor and Dean of the Faculty of Engineering University of Niswas Oman.
Table 1. Material properties

No.   Node No.   Maximum vertical acceleration
                        (mm/[sec.sup.2])

1       1211            1.4 x [10.sup.5]
2       1141           1.22 x [10.sup.4]
3       1065           1.09 x [10.sup.3]
4       711                 7.5 x 10
5       5707           2.75 x [10.sup.-4]

Table 2. Variation of maximum vertical
displacement for selected nodes

No.   Node No.    Maximum vertical
                 displacement (mm)

1       1211            2.2
2       1141           0.146
3       1065          0.00425
4       711           0.000195
5       5707     1.95 x [10.sup.-8]

Table 3. Variation of maximum vertical acceleration for selected
nodes

                          Material Properties

Item          Dynamic elastic   Poisson      Density       Friction
               modulus (MPa)     ratio    (KN/[m.sup.3])    angle

Rails             246 000         0.2          78.5
Sleeper           36 000          0.2          24.5
Ballast           72 000          0.3           15            30
Sub-ballast       60 000          0.3           15            25
Sub-grade 1         30            0.3           12            20
Sub-grade 2         32            0.3           12            20
Sub-grade 3         36            0.3           12            15
Sub-grade 4         42            0.3           11            15
Sub-grade 5         42            0.3           11            10
Sub-grade 6         54            0.3           10            10
Sub-grade 7         66            0.3           10            10
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