1 Introduction

Any railway manager must fulfill minimum requirements of comfort and safety. In this sense, curved layouts require special attention since they have a great influence on the dynamic behavior of the vehicle-track system. Correct designs as well as an effective maintenance plan are key aspects to prevent and correct the deterioration of the vehicle and the track.

There are many complex track-vehicle interaction models designed for curved tracks as stated in [1]. For instance, in [2] a half-car on a ballasted track is modeled in detail; in this model, the different masses of the vehicle-track system are interconnected via springs and dampers. The versatility of this model is so high that it has been adapted to predict rail wear in curves [3], to calculate the plastic deformation in welds located in curved stretches [4], and to analyze the development and propagation of corrugation in curves [5]. Other approaches for the study of track-vehicle interaction can be found in [6] for the study of dynamic non-linearities produced in curves and in [7] for the analysis of the lateral stability of a freight train in a curve.

Apart from the above-mentioned multi-body methods, there are commercial programs that permit the implementation and resolution of complex vehicle-track dynamic systems with many degrees of freedom. These software products are suitable to study the complex dynamic phenomena arising in curved tracks. For example, SIMPACK is used in [8] and [9] to study, respectively, the vibrations produced in a vehicle running on a curve and the influence of the curve parameters on the wear of the wheel-rail contact. Furthermore, the software of dynamic simulation VAMPIRE is used in [10] to study the wear produced in the elements of a turnout by the vehicle passage.

Vehicle-track dynamics in curves are closely related to derailments [11]. For this reason, in [12] track and vehicle conditions are related with the proclivity to derailment in curves of small radii. This study revealed that the derailment coefficient decreases as the curve radius increases. Another similar research was conducted in [13] using the simulation software SIMPACK. A deeper analysis about the influence of the curve parameters and vehicle speed on derailment was presented in [14], employing the commercial software ADAMS/Rail. Derailment in a high-radius curve (7,000 m) including the effect of the fastener failure is analyzed in [15]; this study demonstrated that in this high-radius concrete curve, the stability of a high speed train is not compromised if the number of failed fasteners is lower than 15.

The relationship between flawed fasteners and derailment risk has been also studied in [16] in a tangent track using a coupled vehicle/track model. The results show the strong influence of the disabled fasteners on the derailment coefficient and on the track widening, which also increases the derailment risk. The research [17], conducted in slab tracks, concludes that failed fasteners cause increased displacements on the rail and the slab which become greater with increasing vehicle speed. In [18], the derailment risk in a curved track is assessed considering failures in the track supports, demonstrating their great influence on the running safety; the vehicle and the track infrastructure are modeled as a multi-body system, while the rails are modeled as Timoshenko beams resting on discrete supports. The importance of the lateral dynamics on vehicle stability has prompted the development of innovative elements, such as frictional sleepers [19] to increase the lateral resistance of railway tracks, and of new monitoring techniques to maintain the fasteners in perfect condition [20].

The present study aims to continue in this research stem to evaluate the dynamic behavior of the vehicle in curved tracks where fasteners have failed. However, two different vehicles will be considered in this case (passengers and freight), with their respective speeds, and two curves of different radii. The vehicle-track model will be implemented in VAMPIRE, while the track vertical and lateral stiffness are calculated using an auxiliary FEM model calibrated from experimental data. The objective of this research is to present a method to reproduce the track vertical and lateral stiffness in a FEM model and study how a fastener failure influences the dynamic stability in two different curves on which two different vehicles circulate with different speeds and static loads.

2 Experimental campaign

A ballasted track stretch with Iberian gauge (1,668 mm), UIC-60 rails, and monoblock prestressed concrete sleepers AI-04-EA was monitored during the experimental campaign. The railpad, with a thickness of 5 mm, has a vertical stiffness of 300 kN/mm, and the rail is attached to the sleeper with Vossloh VM fasteners, generally used in the Spanish ballasted tracks. Each fastener consists of a clip SKL-1, a sheath V2, an angled mounting plate A2, a T2 screw with a locking washer, and an elastic plate PAE-2. The fastener sketch is depicted in Fig. 1.

Fig. 1
figure 1

Vossloh VM fastener

The track stretch was instrumented with displacement transducers in the rail and with rod extensometers located between the granular layers (ballast and subballast). Therefore, the total deflection of the infrastructure caused by the train passages can be calculated as the sum of these relative displacements. In Table 1, the experimental results corresponding to the passage of a locomotive Renfe S-252 at 160 km/h are shown.

Table 1 Deflections produced in the infrastructure by the locomotive passage

The interface between the subballast and the platform was also equipped with pressure cells. These cells registered the stresses induced in this zone, allowing the calculation of the track vertical stiffness, which resulted to be 90 kN/mm. Moreover, during the data acquisition campaign, the tightening torque of the fastener screws was revised, obtaining an average value of 220 Nm. Experimental data will be the fundamental support to construct a numerical model able to represent accurately the real track behavior.

3 Models

3.1 Model of the studied track

The objective of the FEM model is to calculate the values of track vertical and lateral stiffness in different scenarios in which fasteners fail. For this reason, a simplified model is constructed to represent in detail the upper part of the track superstructure, including the rails, the fasteners, and the sleepers which rest on elastic supports that simulate the granular layers (see Fig. 2). These elastic supports consist of spring elements attached to the sleepers and oriented in the vertical and lateral direction.

Fig. 2
figure 2

FEM model of the track superstructure with springs supporting the sleeper

The cross sections of the UIC-60 rail, the AI-04-EA sleeper, and the railpad sections have been drawn in detail using a CAD software and then imported to the FEM software ANSYS LS-DYNA V.14. These sections are extruded, generating the real elements, which are divided in hexahedral elements SOLID45 with a maximum side of 0.04 m. The mechanical properties (Young modulus, E; Poisson coefficient, ν; and density, ρ) of the track elements are summarized in Table 2. Regarding the boundary conditions, the length of the model is 9 m, long enough to avoid the influence of the extreme boundaries on the static results, which are always calculated in the center of the model. Rotations and longitudinal movements of the rail extremes are constrained in the model boundaries, while the sleeper displacements are conditioned by the spring elements that account for the elastic support.

Table 2 Mechanical properties of the track superstructure elements

As observed in Fig. 3, in order to model the fastener, the clip has been represented in detail and the screw effect has been represented by compressive forces acting on each clip. The lateral and plan view of the fastener is imported in a CAD file to construct the model in ANSYS. In this case, the element used is also the SOLID45 but the mesh is self-adapted by the program in order to adapt the mesh to the curved contours of the fastener in an efficient manner that provides numerical convergence. This force has been calculated from the tightening torque of the screws measured in the experimental campaign. Furthermore, the condition of strain compatibility has been imposed in the nodes located in the clip-sleeper and clip-rail contact zones.

Fig. 3
figure 3

Detail of the FEM model of the clip

The crucial step to calibrate the model is to determine the stiffness of the springs attached to the sleepers. From the experimental campaign, it is known that the track vertical stiffness is 90 kN/mm. However, assigning directly this stiffness to the springs in the model is incorrect, since it includes the contribution of elements such as the sleeper, the fastener, and the rail which are already represented in the FEM model. Instead, a linear behavior is assumed to estimate the force F transmitted by the wheel of the locomotive Renfe S-252 to the rail head in the monitored section from Eq. (1):

$$F = k_{\text{v}} \delta,$$
(1)

where k v is the vertical track stiffness (90 kN/mm) and δ is the deflection produced according to Table 1 (1.244 mm). Therefore, the transmitted force is F = 112 kN.

On the one hand, knowing the vertical force acting on the wheel-rail contact, it is possible to calculate the vertical stiffness of the springs that support the sleepers in the FEM model. To do so, a force F = 112 kN is introduced in the model and, subsequently, the deflections in the rail head are calculated by varying the stiffness of the springs. When a deflection result equal to the experimentally measured 1.244 mm is reached, it is considered that the model is calibrated and that the vertical stiffness of the springs at that moment is adequate to reproduce the real behavior of the system. In this case, the stiffness of the vertical springs when all the fasteners are in perfect conditions is k v_spring = 2.3962×10−2 kN/mm.

On the other hand, obtaining the track lateral stiffness experimentally requires very complex and costly tests [21] that were not done during the experimental campaign. Consequently, the authors have searched in the existing literature experimental values of this parameter already used to validate other models. The Ref. [22] states that in a ballasted track with UIC-60 rails, middle-stiffness railpads and monoblock prestressed concrete sleepers, as in the studied case, the lateral stiffness of the ballast layer is k h_ballast = 110 kN/mm per linear meter. It should be highlighted that this value for lateral stiffness is given per unit of length. This figure can be assimilated to the equivalent stiffness of all the springs located in the lateral direction in the FEM model. Considering that there are 1,695 parallel springs in the sleepers’ lateral sides and that the model length is L = 9 m, the lateral stiffness of each spring can be calculated by Eq. (2):

$$k_{{{\text{h}}_-{\text{spring}}}} = k_{{{\text{h}}_-{\text{ballast}}}} \frac{L}{N} = 0. 5 8 40 7 1 {\text{ kN}}/{\text{mm}},$$
(2)

where N is the number springs.

Apart from the lateral stability provided by the ballast layer and the fastener, there are friction forces at the rail-railpad and sleeper-railpad surfaces that oppose the lateral displacements. These friction forces depend mainly on the mechanical properties of the railpads’ material [23] and therefore are implicitly considered in the studied model.

The result of the calibration is a finite element model able to reproduce the real behavior of the track. This model is used in Sect. 4 to calculate the vertical and lateral track stiffness in different scenarios with failed fasteners.

3.2 Track-vehicle interaction model

Track-vehicle interaction has been analyzed using the dynamic simulation package VAMPIRE. In this program, two of the vehicles that normally run in this line have been represented: the passenger vehicle Renfe S-120 and a convoy of well cars carrying containers and hauled by a locomotive Renfe S-253 (see Fig. 4). Both vehicles have been represented as dynamic systems of three masses (unsprung, semi-sprung, and sprung) connected by spring-damper elements that simulate the contact with the rail and the vehicle suspensions. The estimated values of the vehicle dynamic systems studied are summarized in Table 3.

Fig. 4
figure 4

Model of the vehicles in VAMPIRE. a Passenger train. b Freight train

Table 3 Inputs of the vehicle-track dynamic interaction model in VAMPIRE

4 Calculation of the track stiffness in different scenarios of fastener failure

In the model described in Sect. 3, fasteners will be steadily removed to calculate the variations produced on the vertical stiffness k v and on the lateral stiffness k h when the fasteners fail. To do so, a unit load is applied on the centerline of the rail head in the vertical direction and another in the lateral direction, for calculating the displacements caused in the corresponding directions with the FEM model. From this displacements and knowing that loads are unit, the track vertical and lateral stiffness can be calculated applying Eq. (1). In Fig. 5, the variation of the track lateral stiffness along the track is represented for the different numbers of consecutive failed fasteners studied. As previously mentioned, failed fasteners are supposed to be in the center of the model in order to avoid the effect of the boundaries on the results and thus, the distance along track represented in Fig. 5 does not include the areas closer to the model extremes. The lateral stiffness approaches asymptotically the 0 value, since there is always a minimum of resistance caused by the rail lateral bending stiffness and the friction forces in the pad surfaces, the track lateral stiffness is not totally lost. Nevertheless, for the purposes of this study, it is assumed that the lateral stiffness is zero if more than 7 consecutive fasteners fail, since the remaining resistance is negligible if compared to the track with fasteners in perfect conditions.

Fig. 5
figure 5

Evolution of the track lateral stiffness along the track for different numbers of consecutive failed fasteners

The minimum values obtained at the point where fasteners fail are shown in Table 4 for different numbers of consecutive failed fasteners.

Table 4 Minimum track vertical and lateral stiffness as a function of the number of consecutive failed fasteners

As the number of consecutive failed fasteners increases, the track lateral stiffness decreases and the vertical remains constant according to Fig. 5 and Table 4. When a fastener fails, vibrations and rail movements may cause that closer fasteners have higher stresses than in normal conditions. This might lead to a progressive fastener failure until the track losses completely its lateral resistance. As evidenced by the FEM model, for the studied track, this situation occurs if more than 7 consecutive fasteners fail; in this case, it can be assumed that the track does not oppose any resistance to lateral forces and the stability of the vehicle might be compromised.

5 Dynamic analysis of the vehicles in curved tracks

The parameters of two studied curves, which also can be found in the real line, as well as the running speeds of the passenger and freight trains are shown in Table 5. Speeds have been specifically defined to induce that the passenger train negotiates the curves with cant deficit (exerting a greater force on the high rail as a consequence of the centrifuge acceleration), while the freight train circulates in the curve with cant excess. The publication [14] revealed, implicitly, that both the cant excess and deficiency cause high forces in the low and high rails, respectively, modifying the derailment coefficient. In order to assess the less favorable scenario, fasteners are supposed to fail in the high rail for the analysis of the passenger train and in the low rail for the analysis of the freight train.

Table 5 Parameters and maximum train speeds of the studied curves

Cant excess or deficiency can be quantified by means of uncompensated acceleration (γ). This parameter represents the share of the total centrifuge acceleration which is not compensated by the track geometry in each case. Its value can be calculated by Eq. (3), in which V is the vehicle speed, R the curve radius, h the cant, g the acceleration of the gravity (9.81 m/s2), and d the track gage (1,668 mm):

$$\gamma = \frac{{V^{2} }}{R} - \frac{h}{d}g.$$
(3)

The results for the uncompensated acceleration in the different cases proposed in this study are presented in Table 6. The higher uncompensated acceleration is, the higher centrifugal force results, pushing the train out of the track and causing greater forces in the wheel-rail contact.

Table 6 Uncompensated acceleration (γ) for the different studied cases (units: m/s2)

5.1 Analysis of the dynamic forces

Firstly, the evolution of the vertical and lateral forces when the fasteners fail will be analyzed. For this purpose, the details obtained from the dynamic simulation in VAMPIRE for the case in which 7 fasteners fail are thoroughly studied since it is at this point when the track losses all its lateral resistance and the increase of the forces is more clearly appreciated. Moreover, it will be distinguished which part of these forces is exclusively due to the fasteners failure and not to the geometric conditions of the track and the vehicle. The development of the dynamic forces along the curve is shown in Fig. 6 for the passenger train and in Fig. 7 for the freight train. In the case of the passenger train, the results correspond to the fourth wheelset of the first vehicle, while in the freight train the results are obtained for the second wheelset of the third vehicle. These wheelsets have been found to be the closest to derailment in both curves studied. Results are shown along 200 m in the center of the curve, considering that failed fasteners begin at the point x = 2,000 m.

Fig. 6
figure 6

Forces in Curve 1 (a) and in Curve 2 (b) for the passenger train when 7 consecutive fasteners fail

Fig. 7
figure 7

Forces in Curve 1 (a) and in Curve 2 (b) for the freight train when 7 consecutive fasteners fail

From Figs. 6 and 7, it can be deduced that, in all cases, the peak in lateral forces is not produced exactly at the point where fasteners start to fail (x = 2,000 m) but 25 m later for the passenger train and up to 40 m for the freight train. Before reaching this point, in which an abrupt change in dynamic forces occur, forces remain constant around a value which is proportional to the uncompensated acceleration caused by the cant excess or deficit of the vehicle in the curve (see Table 6). This effect can be explained by the fact that, as the train circulates on the failed-fastener stretch, no force opposes the lateral movement of the wheel-rail system; however, when the train leaves the failed-fastener stretch, the track exerts a force which tries to reestablish the train direction and oppose the yaw movements that the vehicle is experiencing in the flawed stretch. This point is where great lateral forces appear in the graphs of Figs. 6 and 7.

Peaks of vertical forces appear at the same time that peaks of lateral forces do but are significantly lower. Furthermore, it can be also affirmed that vertical forces are proportional to the uncompensated acceleration and remain almost unaltered by the fasteners’ failure.

Once studied in detail, the dynamic effects in the less favorable case, the evolution of lateral dynamic forces as a function of the number of failed fasteners up to the point in which the track losses its lateral resistance (i.e., with 7 consecutive failed fasteners) is presented in Fig. 8. Vertical dynamic forces are not included in this discussion because they remain almost unaffected by the lateral stiffness as seen above.

Fig. 8
figure 8

Evolution of track lateral stiffness with the number of failed fasteners for passenger train (a) and freight train (b)

Results in Fig. 8 are coherent with the uncompensated accelerations calculated in Table 6. The passenger train transmits higher lateral forces in Curve 2 as a consequence of the greater uncompensated acceleration in this curve, while in the case of the freight train, the greater uncompensated acceleration appears in Curve 1, resulting in higher forces associated to the fasteners’ failure. In any case, lateral forces are under the maximum of 62 kN fixed by the UIC (International Union of Railways) [24], which means that the momentary lack of track lateral stiffness caused by the fasteners’ failure does not represent a serious danger for the stability of the track-vehicle system.

Additionally, the simultaneous failure of seven fasteners in the high and the low rail has been studied in the scenarios that resulted more prone to derailment: Curve 2 for the passenger train and Curve 1 for the freight train. Results in Fig. 9 reveal that the maximum dynamic forces caused by the simultaneous failure of the fasteners in both rails are not significantly different from those obtained in Figs. 6 and 7, which were calculated supposing flawed fasteners in a single rail.

Fig. 9
figure 9

Forces in Curve 2 for the passenger train (a) and in Curve 1 for the freight train (b) when 7 consecutive fasteners fail simultaneously in each rail

5.2 Analysis of the derailment coefficient

Derailment coefficient D is defined as the ratio of the lateral force L to the vertical force V. This coefficient is used to evaluate the risk of derailment of a railway vehicle by comparing its value with the so-called limit derailment coefficients, which depend on many factors according to the derailment mechanism considered in each case. For instance, the Nadal’s criterion considers the flange climb and, therefore, the limit derailment coefficient depends on the friction of the wheel and the rail (See [25]). However, some studies consider the derailment by wheel lifting and consequently include in the calculation of the limit derailment coefficient lateral acceleration and axle forces [26].

The UIC leaflet 518 [27] sets the limit value for the limit derailment coefficient to 0.8 and specifies that this limit must not be exceeded along a length of 2 m; from that moment, the vehicle stability might be compromised. Besides, the standard UNE-EN 14363 [28] establishes that the wheels with worn flanges may derail when the derailment coefficient is over 0.4. Hence, the value of 0.4 will be set as the limit derailment coefficient in this study.

Figure 10 shows the value of the derailment coefficient in the studied scenarios, taking into account that the wheel derailment would be produced in the high rail for the passenger train and in the low rail for the freight train since both vehicles negotiate the curve with cant deficit and excess, respectively.

Fig. 10
figure 10

Evolution of the derailment coefficient with the number of failed fasteners for passenger train (a) and freight train (b) in the studied scenarios

As depicted in Fig. 10, derailment coefficient remains far below the limit of 0.4. For this reason, it can be concluded that there is not risk of derailment in the studied cases when 7 consecutive fasteners fail, although the track had lost the lateral resistance in this point.

However, if the number of failed fasteners is high enough and the track losses its lateral resistance along a certain distance, the derailment coefficient may exceed the limit value, affecting the train safety. It has been proven that the limit value of 0.4 is surpassed for distances of failed fasteners of 500 m in the case of the passenger train negotiating Curve 2 and of 700 m in the case of the freight train negotiating Curve 1. These cases are illustrated in Fig. 11, in which the reader can see how the maximum peak is produced again after the track recovers its lateral resistance and how the instability persists during the following meters. The evolution of the derailment coefficient along the curves is illustrated in Fig. 12 for these limit cases. As in the previous cases, the derailment risk appears in the low rail for the freight train and in the high rail for the passenger trains.

Fig. 11
figure 11

Dynamic forces for the passenger train in Curve 2 (a) and for the freight train in Curve 1 (b) with failed fasteners along 500 and 750 m, respectively

Fig. 12
figure 12

Evolution of the derailment coefficient in the limit scenarios for passenger train (a) and freight train (b)

6 Conclusions

In this study, track vertical stiffness has been estimated from experimental results of track settlements using a FEM model. A new strategy to model the fastener as a clip and a compressive force calculated from the tightening torque has been explained, before studying the vehicle-track system dynamics in curves and the derailment risk. From the results obtained, it can be concluded that

  • The lateral forces are caused by the fasteners’ failure, and their value is proportional to the uncompensated acceleration regardless of whether the vehicle negotiates the curve with cant excess or deficiency, according to [12], [13] and [14]. Vertical forces are not significantly influenced by the fasteners’ failure.

  • Although the studied track losses its lateral resistance when 7 consecutive fasteners fail, the vehicle stability is not compromised in this situation. However, if this situation of null lateral stiffness prevails along a certain distance, the vehicle may be in serious risk of derailment. In the studied examples, this critical distance was higher than 500 m for the two studied vehicles.

  • The peak force due to the failed fasteners is not produced at the point where flawed fasteners are located but several meters after this point. An explanation to this phenomenon can be found in the fact that until the lateral stiffness is not totally recovered, there is no force opposing the yaw and lateral movements that the vehicle suffers on the stretch with flawed fasteners. It means that a potential derailment would not occur within the flawed zone but some meters beyond.

  • The influence of fastener failure on the vehicle dynamics is similar when the flawed fasteners are located only in the rail which receives the extra load of the uncompensated acceleration and when the flawed fasteners are located in both rails simultaneously.

  • The derailment coefficient increased with the distance along which fasteners fail. Even though lateral resistance is lost after 7 consecutive flawed fasteners, a higher number of failed fasteners must be considered in order to asses accurately the risk of derailment.