Abstract
Fibre-reinforced foamed urethane (FFU) composite sleepers and bearers are safety-critical components installed in complex railway switches and crossings. Not only does they need to provide vertical track support, the composite sleepers and bearers must also endure longitudinal and lateral actions stemming from complex wheel and rail interactions. In reality, the railway bearers at crossing noses are susceptible to coupling torsional-flexural loading. The complex non-linear behaviours have never been investigated numerically nor experimentally. It is thus necessary to comprehend torsional-flexural behaviours of FFU composite sleepers and bearers through finite element and experimental approaches. 3D finite element modelling of FFU composite beams have been established to predict the non-linear coupling behaviours. Three specimens of FFU beams have been prepared for robust experiments under each load case. Our studies exhibit excellent agreement between numerical and experimental results. The ductile failure behaviours (post yield point) have been observed from the experiments. Considerable effects of load eccentricity on the flexure–torsion behaviours of the composite members can also be noted. In addition, the load-eccentricity curves have been identified to portray the non-linear behaviour of the railway components under coupling flexural and torsional loadings. The new insights considering their load–displacement relationships, modes of failure and damage, flexural and torsional interactions are the precursors for railway engineers to design and adopt FFU composite sleepers and bearers in practice where complex wheel/rail interface generally causes coupling torsional and vertical loading conditions.
1 Introduction
Due to the increasing demand for railway transportation and the rising frequency of train passages, railway infrastructures are currently experiencing additional burden requirements to perform reliably. It is also evident that existing design methods are facing unprecedented challenges concerning the complexity of track infrastructures, new material functionality, and prolonged life span expectation [1]. To help railway engineers design and develop more reliable, efficient, and safe railway systems, it is essential to conduct detailed assessments and reviews of the reliability of critical components. This includes the identification and analysis of potential failure modes, the assessment of risks associated with these failures, and the development of strategies to mitigate these risks. In practice, it can be observed that railway sleepers and bearers, as vital structural components in railway systems, play a key role in withstanding the static and dynamic loads imparted by train operations. The main function of railway sleepers and bearers is to redistribute forces from the wheels onto the underlying support layers. Railway sleepers also contribute to track stiffness and stability, which will improve the quality, serviceability, and safety of train operations [2]. In addition to open plain tracks, railway sleepers are extensively used in railway turnouts and crossings (so-called “turnout bearers”). Railway turnout bearers provide structural support to switches and crossings where a train switches between different tracks and/or travel into different directions [3,4,5].
Railway turnouts or “switches and crossings” are a special track infrastructure with a function to change a direction or a route of a train from any particular direction or any particular track onto the others. It is a structural skeleton system that consists of steel rails, points (or called “switches”), crossings, steel plates, rubber pads, insulators, screw spikes, fasteners, turnout bearers (could be made of either timber, composite, steel, or concrete), ballast, and formation, as shown in Figure 1. Traditional aging turnout structures have generally been built using timber bearers. Timber bearers enable steel components to be installed directly on steel plates that are either spiked or screwed into the bearers. The most common materials used for turnout bearers are timber and concrete, while composites are relatively new. Previous studies [1,2,3,4,5] in the field exhibited that composite bearers perform well over the long term. However, recent investigations into the loading conditions at the crossings [3] revealed that turnout bearers supporting a crossing nose are exposed to not only vertical action but also to twist or torsion.

Railway turnout: geometry and components.
From a critical review, it becomes evident that the manufacture of railway sleepers and bearers primarily utilizes conventional materials such as wood and concrete, while steel is being less considered due to higher cost and manufacturing process limitations [6,7]. However, both concrete and wooden sleepers have their limitations, railway sleepers and bearers made of concrete are susceptible to cracking due to fatigue and impact loading [8]. In contrast, those made of timber provide high electrical resistance, ease of handling, convenient replacement, and higher flexibility, which provides good energy absorption of vibrations. Thus, hard-wood sleepers and bearers are generally expected to be used in the railway industry for a longer period [9]. However, these sleepers and bearers are susceptible to fungal decay, which can cause rapid deterioration to the railway infrastructures under aggressive loading conditions, leading to excessive routine maintenance, and high costs and carbon footprint of production [10]. To address these issues, there are lots of new materials that are being explored and applied to railway sleeper/bearer manufacturing. In recent years, due to the rise in environmental awareness, an increasing number of railway systems are opting for environmentally friendly, sustainable sleepers to replace old wooden and concrete counterparts. When selecting these new types of sleepers, one of the railway industry’s primary concerns is whether the new sleepers can significantly improve service life and overall performance under train operations [6]. To strike the balance between cost-effectiveness and structural safety, a range of durable and eco-friendly materials are being considered for use in sleeper and bearer production [7].
Recently, fibre-reinforced foamed urethane (FFU) composite sleepers and bearers have been considered as a new replacement material for traditional railway sleepers. FFU composite sleepers are made of glass fibres, which are embedded in a high-strength thermoplastic resin, providing a favourable strength-to-weight ratio with more than 50 years predicted life cycle [10]. The FFU was first produced by SEKISUI Chemical Gmbh in 1978 for railway applications in which continuous glass fibres act as reinforcement in the longitudinal direction are combined with a polymer matrix called polyurethane through a pultrusion technique [10,11]. When considering the capital expenditure, employing FFU sleepers in standard rail structures may appear somewhat excessive. However, due to the exceptional performance and prolonged service life of FFU sleepers, it is more suitable for them to be used in distinctive and hostile environments. Turnout systems play a crucial role in ensuring multi-directional train mobility [1,2,3,5,6,7,8]. When operating these systems, not only do they transmit the static and dynamic loads borne by regular wheel/rail interaction, but they also impart significant torsional loads generated by train steering over a crossing nose. These loads are transmitted to the supporting sleepers, necessitating higher specifications for railway sleepers to withstand additional torsional stresses. Considering the coupling load condition, FFU sleepers, which have better tensile and torsion resistance, is considered to be one of the best alternative solutions [9,10,11,12,13,14].
However, to the best of our knowledge following a critical review of the open literatures, there are no existing studies that investigate the coupling load responses of FFU sleepers under flexure and torsion loadings. In addition, FFU material behaviours and failure modes subjected to coupling flexural and torsional loadings have never been thoroughly carried out numerically and experimentally before. This study therefore aims to provide new insights into the comprehensive performance of FFU composite materials and to validate and predict the bending and torsional properties of FFU materials through experiments and modelling. Our goal is to establish theoretical, experimental, and modelling fundamentals for the widespread applications of FFU sleepers and bearers in practice.
2 FFU composite sleepers and bearers
2.1 FFU composite materials
An FFU specimen exposed to service conditions for 30 years was used in a laboratory test by the Technical University of Munich. The test results exhibited residual high strength properties without significant changes in the density [11]. The manufacturers also claimed that the high level of precision and quality involved in the manufacturing process through the pultrusion technique is the contributor for the high strength. However, the study by Askeland et al. [15] suggested that it is the peculiarity of glass fibres that contributes to the stiffness of the polymer resin in the FFU sleeper sample, which prevents variation in the density. Moreover, some studies [9] demonstrated that the matrix system inside the material can harden and form stronger bonds between fibres and matrix during its lifecycle.
Structural integrity of railway sleepers and bearers is crucial for public safety. A train can derail by wider rail gauge and/or broken components caused by impact and fatigue loading [9]. Traditional sleeper materials possess high geological risks since the strength and engineering properties can be impaired. For example, timber when exposed to moisture would soften due to the moisture ingress, which affects the stiffness and leads to excessive deflection. In addition, although FFU bearers have a closed cell structure with a water ingress rate of 3.3 mg/cm2 [10], the continuous exposure to moisture can affect the damping behaviours of composites and lead to a reduction in the flexural stiffness of the material [12]. However, it is reported that, when the FFU sleepers experienced impact loads caused by a drop weight of 500 kg from a specific height, little distortion could be observed. Similarly, when it was exposed to 2.5 million load cycle (e.g. dynamic fatigue forces), only a mere elastic deflection can be measured [11]. The superior endurance and impact resistance of FFU composites have thus attracted various adoption in the industry in recent years.
There were some experiments recently done in Finland. FFU sleepers were exposed to a static loading condition at room temperature and at −65°C. The resultant load–deflection curve showed a linear elastic behaviour that was uncommon for other sleeper materials (e.g. concrete or steel) [11]. According to the study by Kaewunruen et al. [10], the resin in the composite sleepers causes a brittle failure at very low temperatures. Hence, it signifies the role of glass fibres present in the resin matrix in contributing to the ductile nature of the composite material. However, the degree of material anisotropy can additionally affect the strength and engineering properties of the composites [16]. The glass fibres that are arranged longitudinally in FFU material can well withstand flexural stresses; however, lesser allocation of fibres in the transverse direction yields inefficient strength and hence, cannot be used in certain applications (e.g. rail bridge transoms) where the interaction due to shear stress is dominant [8].
2.2 Loads induced at turnout crossings
The wheel–rail interaction produces a significant number of complex stresses and strains on sleepers. According to previous studies [7,12], the passage of trains generates high-frequency forces and irreversible plastic deformations on bearers over the wheel transfer zone through the crossing nose, as seen in Figure 2. In addition to vertical loadings, the change in wheel/rail contact tensors is not smooth due to the dip-like geometrical irregularity coupled with the blunt angle of crossing rate. The complex forces are generally exerted onto the bearers at the crossing nose along the path on which the train wheel follows through the trajectory and suddenly changes direction [7,12]. When the wheel and rail are in smooth contact with each other (i.e. free from any sort of undulations), the moving trains produce low-frequency forces. The magnitude of the force depends largely on the dip angle, which measures the angle between the tangents of the wheel trajectories at the turnouts where the direction is changed. It was reported that when the equivalent dip angle was reduced, a significant increase in ride quality was experienced from the reduction of dynamic effects that produce higher frequency loads [5,8]. In particular, many turnout simulations under design track loads also suggested that the maximum deflections tend to occur at the bearers under and adjacent to the crossing nose [3,6,10].

The characteristic of impact forces at the railway crossing.
In addition, previous studies revealed that the FFU sleepers and bearers have high damping and stiffness to withstand dynamic loads [13]. Therefore, the FFU composite material with high damping coefficient will require a thinner layer of ballast support in transferring the induced force and vibration uniformly to the ground [8].
2.3 Load behaviour analysis
The flexural strength of FFU composite sleepers and bearers were investigated previously [2] for a specimen size of 3.2 m × 0.25 m × 0.16 m in accordance with EN 13230 standards combined with a numerical study by finite element approach using STRAND 7. The failure modes were then analysed. The tests identified the cracking on the internal fibres along the longitudinal direction at a load of 34 kN, and further load increments caused the sample to fail at a load of 132 kN with a deflection of 0.164 m (Figure 3). The experimental tests showed that larger fibre delamination can be observed at the breaking point while some minor fibre breaks could be initially noticed. These brittle behaviours suggested that a significant safety factor be required in designing composite sleepers and bearers [2,17].

Load–deflection behaviour of full-scale composite bearers.
When compared with traditional sleeper materials, it was found that the FFU composite’s flexural strength is sufficient against design requirements [11] whereas the composite sleepers with a smaller dimension can withstand an induced load of 240 kN required by the design standard. In the field trials, no permanent deformations could be observed on the composite sleepers. It is noteworthy that a review [18] demonstrated that the test span length makes very huge differences in the flexural strength of the composite materials when subjected to flexural loading conditions.
Based on the critical literature review, it is very clear that the previous studies have placed very little emphasis on the torsional behaviours of composite sleepers. However, the study by Sae Siew et al. [3] had demonstrated that the turnout bearers in the crossing panel can experience torsional deformation (or twist) while enduring the vertical translation. This is because the dip angle at the crossings can be very complex in three-dimensional space, and the wheel-rail trajectory on the complex 3D nose topology can cause torsional forces transferred onto the bearers. On this ground, this study places the focus on the coupling flexural-torsional behaviours of the FFU composites, which have not been investigated before in the past. The new insights will help railway engineers better predict the service life of composite bearers located in the turnout systems with a significant crossing rate.
3 Methods
Both numerical and experimental testing approaches are chosen to meet the goal outlined for this research. Non-linear finite element simulations together with experimental tests are performed. For each experimental load case, three specimens (with a dimension of 200 (clear span) × 50 × 25 mm) have been subjected to flexural loading coupled with torsional loading conditions. The load–displacement curves have been obtained to monitor structural behaviours and to investigate the modes of failure and damage that can be induced on the FFU composite material. Flexural and torsional interactions are graphically demonstrated and discussed fully since this interaction behaviour has never been reported before in any previous literature. FFU sleepers have been prepared for laboratory specimens to perform the experimental tests and adhered to the University of Birmingham Health and Safety Risk Assessment. The dimension of FFU composite specimens is chosen considering the uniformity of resin and the diameter of glass fibres. The minimum width of specimens is 100 times larger than the glass fibre’s diameter to assure that the specimen size effect is negligible [2].
3.1 Flexural experimental tests
The specimens are subjected to flexural action using 3-point bending approach under room temperature. A static load is applied at the centre of the specimen that is placed in between two roller supports distant at 200 mm centre to centre with a distance 25 (L/10) mm hanging away from each end of the specimen (Figure 4). The load could deform the specimen up to its maximum capacity reaching maximum stress and rupture strain induced on the material. The loading procedures and the support conditions are in accordance with EN 13230 [2].

Test setup for flexural bending test.
The experiments measure only the positive bending capacity because the specimens’ cross-section is symmetrical, and the experiments are performed on an articulated support made of steel following EN 13230. Note that there are no existing standard limits for detecting failure modes of flexible composites [2]. The prepared specimens have been carefully inspected for any uneven surface at the contact area between the specimen and the loading nose to ensure accuracy in the measurements of deflection [16]. Instron 34TM – 30 series (30 kN force capacity) with a high-precision load cell have been used. The equipment has an in-built strain measurement in accordance with the EN 10002-4 standards and has the capability of measuring displacement at a high accuracy [19]. The testing has been initiated under a displacement control method at a rate of 0.05 mm/s. It is assumed that the relationship between the applied force and the resultant deformations is proportional to each other up to an elastic limit, which makes the specimen recover completely when the applied load from the testing machine is removed within this range. At the elastic limit, the material is assumed to demonstrate the similar ratio of stress and strain over the tension and compression zones. Considering the specimens’ rectangular cross section, the maximum fibre stress occurs at top and bottom layer, which is half the overall depth of the specimen from its neutral axis [20]. The stress and strain values of the composite material can be obtained using the following equations using the recorded force-displacement values obtained from the testing machine [18]; the bending moment can be calculated by
The flexural stress from the corresponding bending moment can then be obtained by,
and the flexural strain can be determined using the following relationship,
where F is the applied vertical load, L is the length between two supports, b and d are the width and depth of the test specimen, u is the recorded displacement, and D is the thickness of specimen cross-section.
3.2 Torsional experimental tests
The specimens are tested in two sets in order to induce the coupling loads at minimum and maximum eccentricities using two different setups to produce a torque from twisting. The maximum eccentricity for the torsional tests is 20.5 cm measured from the specimen centre to the point load, which has a displacement rate of 0.05 mm/s. The clamps shown in Figure 5 are used as hinge supports to facilitate the torsional tests. Note that the distance between the two supports is 200 mm. A minimum eccentricity is initiated by applying a point load at 1.25 cm away from the centre of the specimen onto the metal lever arm (Figure 6). The specimen is pinned at the supports at a span of 200 mm centre-to-centre (c-c) using clamps.

Experimental setup for a torsional test at maximum eccentricity, including its detailed sketch. (a) Testing machine. (b) Specimen. (c) Testing diagram.

Setup for a torsional test at minimum eccentricity.
The torsional tests are later performed on a basis of superposition method [18], where the load acting at a point away from the centre of the specimen (or an eccentric load) is equal to the combined effect produced by the coupling of torque and vertical force at the centre of the specimen. The shear stresses and shear strain due to the torque reach maximum on the edges of the specimen [21] and can be calculated using the following equations [22] on a basis of the recorded experimental results at a particular eccentricity. The torque can be obtained by
The shear stress due to torsion can then be determined using the equation,
or
and the shear strain induced on the specimen is found by
The modulus of rigidity to measure shear strain can be obtained from
where F is the applied load, e is the eccentric distance from the centre of the specimen to the applied load, μ is a dimensionless coefficient for varying b/d ratio, and
3.3 Numerical development of finite element model
The non-linear finite element simulation has been established using ABAQUS CAE 2022. The simulation model will be based on the displacement control method. The specimen has been modelled as a deformable brick type in the same size as the experimental dimensions. For the flexural loading (Figure 7), the loading part and roller supports are modelled as an analytical rigid brick type at the centre and each end spanning 200 mm c-c from the supports. The end supports are pinned, which prevents movement along U1(x), U2(y), and U3(z) directions. The middle support is restricted in U2(y) direction. The point of reference at the centre of the specimen is defined by restraining all directions except along the axis in the U2(y) direction.

FEM for flexural simulation.
Different mesh sizes have been taken into full consideration for checking the convergence of the ultimate flexural results from finite element modeling (FEM) and the experimental value. The model is in very good agreement with the experiments; and the outcome converges at a mesh size of 10 mm, which divides the model into 390 elements for the generalized analysis neglecting the effects of inertia [23]. The specimen properties as demonstrated in the validation section are then used for all simulations to obtain excellent agreements with the experimental load–displacement curves.
For torsional simulations (Figure 8), the validated finite element model is adopted and fixed at both ends. The load head is modelled as a discrete rigid block type where the reference point is in tie constraint with the surface of the model allowing to displace along the U2(y) direction under a controlled displacement at an increment size of 0.1. The load transfer block is shifted to capture the ultimate load for different eccentricity values. The flexural-torsional interaction diagram and the relationship between force and displacement can thus be fully obtained.

FEM for torsional simulation at 20 mm eccentricity from the centre.
4 Results
4.1 Model validation of FFU railway sleepers and bearers
Non-linear stress–strain behaviours can be obtained from the experimental load–displacement curves as shown in Figure 9 (i.e. EXP line) through the applications of Eqs. (1)–(3) for flexural stress. The calculated stress and strain values are incorporated into the specimen’s plastic properties to initiate the damage plasticity behaviour concrete damage plasticity. The model input properties are tabulated in Table 1 for the numerical validation [2,24].

Experimental load displacement curve of flexural bending for three specimens with their average curve (purple) and simulated curve (green).
Model input properties
| Elastic modulus E (MPa) | Poisson’s ratio | Density (Tonne/mm3) | Length (mm) | Breadth (mm) | Depth (mm) |
|---|---|---|---|---|---|
| 2,850 | 0.2 | 6 × 10−10 | 200 | 50 | 25 |
The non-linear load–displacement behaviour obtained from the simulation is found to be in excellent agreement with the experimental data with a proximal discrepancy of lesser than 1% at the ultimate load values (as illustrated by the discrepancy between FEM and EXP lines in Figure 9). The numerical result is also found to be within the upper and lower bounds of the experiments. In this study, the non-linear FE model adopts identical damage behaviour properties of the railway sleeper models subjected to three-point bending previously performed in the study by Rezaie and Farnam [24]. The dilation angle, which denotes the angle of internal friction of the material, is considered as 35; and the ratio of biaxial stress to uniaxial compressive yield stress on an element is considered as 1.16. The viscosity and damage parameter are taken as 0; and the damage parameter is obtained by subtracting one from the ratio of flexural stress to the yield stress [14].
4.2 Failure modes of FFU railway sleepers and bearers
4.2.1 Flexural results
The load–displacement curves obtained from the experiments have been averaged and illustrated in Figure 10 to display the flexural behaviours of the composite material. Observably, the specimens initially exhibit a linear behaviour, but as the load is increased at a given displacement rate, the curve tends to behave non-linearly. The FFU specimens suddenly fail, and their averaged ultimate load-displacement values are presented in Table 2. Similar trend of failure was also reported on prestressed concrete [24] under a three-point bending test in which specimen ruptures after experiencing a little deformation after reaching a certain ultimate point. However, for FFU composite materials, it can be surprisingly observed that the failed specimens can recover their shape nearly back to their original condition.

Validation curve between experiment (Red) and simulation (Black).
Average values at the ultimate point for flexural loading
| Force (kN) | Displacement (mm) | Flexural stress (MPa) | Flexural strain |
|---|---|---|---|
| 10.065 | 17.2 | 96.631 | 0.0645 |
As shown earlier in Figure 9, the percentage difference between the numerical and experimental results is found to vary between 5.46, 4.06, and 1.52% for trial nos 1, 2, and 3, respectively. Although the discrepancy is relatively small and acceptable in engineering field, it is important to note that these variations can be attributed to the versatile arrangement of glass fibres within the FFU composite, which causes some small variations in the resistance against flexural loading conditions. Furthermore, the load–deflection curves portrait distortions that resemble the reduction in flexural strength accompanied by breaking sounds produced from internal fibre cracking. It can be observed that the material fails by the delamination of longitudinal fibres in tension zone of the specimen as shown in Figure 11 where the tensile stresses are significant. Note that the numerical simulations can indicate higher stress concentration (Figure 12) that causes small indentation at the applied load axis.

Failure under three-point bending test.

Flexural simulation by FEM.
Some studies on fibre glasses [25,26] suggested that the damage modes in composites are important especially when the failure due to delamination occurs. This type of failure is caused initially by cracking of the matrix material under the mixed action of shear and bending. Then, fibre breakage is another common failure that can be demonstrated through the fibre bundle theory, which states that, when a proportion of fibre breaks, it causes the tensile failure in the specimen [25]. In fact, the shear stresses induced on the specimen are taken initially by the matrix and then are progressed onto the fibres; hence, the length, orientation, and arrangement of fibres are crucial in resisting shear stresses [26].
4.2.2 Torsional results
The first set of experiments has been conducted at a maximum eccentricity of 20.5 cm, and the second set at a minimum eccentricity of 1.25 cm. Three tests from each set are then averaged and the load–displacement curves from the experiments are displayed in Figures 13 and 14. The load–displacement curves demonstrate an elastic-plastic behaviour (showing an extent of elongation beyond the assumed yield point) representing a ductile failure mode under torsion. Note that the displacement is measured at the centre of the specimens.

Experimental load displacement curve for torsional loading, e = 20.5 cm.

Experimental load displacement curve for torsional loading, e = 1.25 cm.
When the load has been removed after reaching its ultimate point, it is found that the specimen returned to its original form with slight visible deformations at the bottom and load impressions on the surface (Figure 15) due to the plastically deformable nature of the individual materials used in the specimen. Under the torsion imparted by the maximum eccentric loading, the specimen shows no sign of delamination (as clearly illustrated in Figure 16) even though the specimen has reached its ultimate load value relatively early. However, cracking sounds from internal fibres have been heard during the experiments, which resemble the shear failure and the reduction in shear resistance of the specimen.

Deformation at minimum eccentricity during loading and deformation after unloading. (a) Loading. (b) After loading.

Deformation at maximum eccentricity during loading and deformation after unloading. (a) Loading. (b) After loading.
According to Figure 13, the specimen has an ultimate load capacity of 1.19 kN and 8.52 kN producing a torque of 243.95 and 106.375 kN mm at maximum (e = 205 mm) and minimum (e = 12.5 mm) eccentricities respectively compared to the flexural ultimate load value of 10.06 kN without any torque produced. It is apparent that the effect of torsion is relatively significant to the design of FFU sleepers and bearers, especially when the crossing rate is high, and the torsional force can be significantly induced.
The torsion produced from the maximum eccentric loading can cause the specimens to form a progressive diagonal cracking at the supports as observed in Figure 17. This failure pattern is due to the culmination of both shear and flexural loads, which can be derived from the equations for torsional shear stress (described in Section 3.1). At maximum eccentricity, the torsional shear stress is 3.90 N/mm2, whereas a lesser torsional shear stress of 1.70 N/mm2 is recorded at the minimum eccentricity.

Diagonal cracking observed at maximum eccentric loading.
In addition, the results from the non-linear FEM simulations reveal a reduction in the ultimate load capacity when the loading eccentricity increases as illustrated in Figure 18. The numerical results are later used in developing the flexural and torsional interaction diagram.

Ultimate load values at different eccentricities from the centre of the component.
4.2.3 Statistical analysis
A statistical analysis of the experiments is demonstrated in Table 3, which shows a very minor deviation about which the data points are spread out from the average values. The standard deviations clearly show that the experimental results are highly consistent in accordance with ISO12856 standards. The maximum deviation is less than 4%, which is acceptable in engineering product testing.
Statistical analysis of experimental results
| Eccentricity | 0 mm | 12.5 mm | 205 mm |
|---|---|---|---|
| Ult. load – Trial 1 | 10.73 kN | 8.59 kN | 1.18 kN |
| Ult. load – Trial 2 | 9.75 kN | 8.50 kN | 1.16 kN |
| Ult. load – Trial 3 | 10.004 kN | 8.66 kN | 1.21 kN |
| Average | 10.16 kN | 8.58 kN | 1.18 kN |
| Standard deviation | 0.41 | 0.06 | 0.02 |
4.3 Load interaction
The flexural–torsional interaction diagram is shown in Figure 19. Surprisingly, the diagram exhibits an elliptical nature, which is very useful in obtaining the design capacity of FFU rectangular sections under the combined effect of the flexural-torsional moments. Note that the combined effect can be determined using the equation in Section 3.2 (plotted in the x-axis) while the corresponding ultimate load for different eccentricities (plotted in the y-axis) is extracted from Figure 18. The interaction curve projection is later extrapolated for the condition of pure torsion. This interaction diagram also depicts the ultimate load induced on the specimens under the absence of torsion before the failure. Overall, the flexural-torsional interaction from the experimental testing is in excellent agreement with the numerical results obtained from the non-linear FEM.

Interaction between flexure and torsion from non-linear FEM in comparison with the experimental testing.
It is noted that the interaction curve between torsion and shear also produces an elliptical curve for concrete materials. This shows that the nature of interaction curve can vary based on the section shape and complexity of the material properties used in the component manufacturing [22].
By adopting the same modelling methodology and input parameters, a full-scale bearer can be numerically modelled with the real-scale dimension of 3,000 mm × 250 mm × 200 mm as specified in Engineering Specification SPC 231 [27]. The models apply different eccentricities, of which their numerical results also present an elliptical nature. The full-scale specimens yield higher values of the interaction diagram (Figure 20) in comparison with the small-scale laboratory specimens. The comparison infers the significance of sleeper size in resisting early failure due to the coupling load interaction. Note that, due to the scope of this study, the findings obtained from both the simulations and the experiments should be compared with those in similar conditions [28,29,30,31].

Interaction of flexure and torsion from FEM for large-scale size sleeper.
In addition, the elliptical nature of flexural and torsional interactions of the specimens both experimentally and numerically indicates that, as the eccentricity at which load exerts is increased, the composite material reaches its ultimate failure condition earlier than it would under pure bending action since the combined action of load and torsion can cause the specimens to deform and fail more quickly.
5 Conclusion
This work is the first to demonstrate, through extensive experimental and numerical studies, the torsional–flexural interactions of FFU composites in order to represent the complex structural behaviours of large-scale railway sleepers and turnout bearers exposed to coupling flexural and torsional loadings incurred at the rail crossing zone. The new findings of our experimental and numerical studies have revealed that
The experimental results from flexural tests depict a non-linear ductile failure mode and the fibre delamination at the failure point can be observed.
The failure from torsional tests also depicts an elastic-plastic nature on the force–displacement curves with higher shear stress; hence, the size of the specimen matters in adopting sleepers/bearers over the turnout zones in order to support larger load resistance when considering the torsional effects.
The non-linear ductile failure mode of the specimens shows the ability of the composite material to absorb more energy by deforming much further before failure. This behaviour prevents sudden failures and identifies the value-added for aging-timber replacement in order to mitigate train derailment risks.
It is evident that the cell structure of the FFU composite material plays an important role in providing stiffness to the sleepers/bearers against an intense loading. Poor cell structure affects the resistance against such loading. FFU composites have a closed matrix making them more suitable for the intended structural purpose and vital to uniformly distribute the load over to the ground without producing any eccentric moments.
The arrangement and extensive amount of glass fibres along the longitudinal direction improve the ductile nature of the specimens and increase resistance against the induced flexural stresses. However, the inefficient amount of glass fibre along the transverse direction provides poor resistance against shear, especially where exposure to torsional loading is prominent. The material anisotropy strongly influences the structural conditions of composite sleepers and bearers.
Eccentric loadings that produce a torsion should be taken into account when designing composite sleepers and bearers by the railway infrastructure managers or railway authorities. This is to ensure that the sleepers and bearers can sustain against the reduced ultimate load resistance and premature failure during service conditions from the torsional effect.
In practice, design standards for composite sleepers and bearers are currently being developed, and are relatively limited in scope. Hence, this study can be fully utilized in the design, maintenance, and lifecycle asset management of composite sleepers and bearers. Our future research will measure the degree of material anisotropy to capture an accurate load resistance value even though the material could be assumed to be isotropic. We will also further monitor the in-track behaviours and effects of the dynamic load actions in three-dimensions on the composite sleepers and bearers at a variety of crossings or turnouts in order to establish the relationships between turnout crossing rates and torsional load actions.
Acknowledgement
The authors wish to thank UK Engineering and Physical Science Research Council (EPSRC) for the financial support of Re4Rail project (Grant No. EP/Y015401/1). The authors also sincerely thank European Commission for H2020-MSCA-RISE Project No. 691135 “RISEN: Rail Infrastructure Systems Engineering Network,” which enables a global research network that tackles the grand challenge in railway infrastructure resilience and advanced sensing under extreme conditions. Special thanks also go to Sekisui, Sydney Trains, UK Rail Safety and Standards Board, and NetworkRail for technical assistance and composites materials. The APC has been kindly sponsored by the University of Birmingham Library’s Open Access Fund.
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Funding information: UK Engineering and Physical Science Research Council (EPSRC) provided the financial support - Re4Rail project (Grant No. EP/Y015401/1); and European Commission for H2020-MSCA-RISE Project No. 691135 “RISEN: Rail Infrastructure Systems Engineering Network.”
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission. S.K.: conceptualization, investigation, validation, methodology project administration, formal analysis, writing – original draft, funding acquisition, resources, writing – review and editing, and supervision. J.J.T.: conceptualization, investigation, validation, methodology, software, formal analysis, writing – original Draft, and writing – review and editing. P.S.: conceptualization, investigation, and writing – review and editing. X.Q.: conceptualization, investigation, validation, and writing – review and editing.
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Conflict of interest: The authors state no conflict of interest.
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Data availability statement: All data generated or analysed during this study are included in this published article.
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© 2024 the author(s), published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
Artikel in diesem Heft
- Editorial
- Focus on NLENG 2023 Volume 12 Issue 1
- Research Articles
- Seismic vulnerability signal analysis of low tower cable-stayed bridges method based on convolutional attention network
- Robust passivity-based nonlinear controller design for bilateral teleoperation system under variable time delay and variable load disturbance
- A physically consistent AI-based SPH emulator for computational fluid dynamics
- Asymmetrical novel hyperchaotic system with two exponential functions and an application to image encryption
- A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations
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- Solutions of certain initial-boundary value problems via a new extended Laplace transform
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- Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method
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- On theoretical and numerical analysis of fractal--fractional non-linear hybrid differential equations
- Traveling wave solutions, numerical solutions, and stability analysis of the (2+1) conformal time-fractional generalized q-deformed sinh-Gordon equation
- Influence of damage on large displacement buckling analysis of beams
- Approximate numerical procedures for the Navier–Stokes system through the generalized method of lines
- Mathematical analysis of a combustible viscoelastic material in a cylindrical channel taking into account induced electric field: A spectral approach
- A new operational matrix method to solve nonlinear fractional differential equations
- New solutions for the generalized q-deformed wave equation with q-translation symmetry
- Optimize the corrosion behaviour and mechanical properties of AISI 316 stainless steel under heat treatment and previous cold working
- Soliton dynamics of the KdV–mKdV equation using three distinct exact methods in nonlinear phenomena
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- Modeling credit risk with mixed fractional Brownian motion: An application to barrier options
- Method of feature extraction of abnormal communication signal in network based on nonlinear technology
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- An analysis of exponential kernel fractional difference operator for delta positivity
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- Conditions for the existence of soliton solutions: An analysis of coefficients in the generalized Wu–Zhang system and generalized Sawada–Kotera model
- Scale-3 Haar wavelet-based method of fractal-fractional differential equations with power law kernel and exponential decay kernel
- Non-linear influences of track dynamic irregularities on vertical levelling loss of heavy-haul railway track geometry under cyclic loadings
- Fast analysis approach for instability problems of thin shells utilizing ANNs and a Bayesian regularization back-propagation algorithm
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- Study of weakly nonlinear double-diffusive magneto-convection with throughflow under concentration modulation
- Variable sampling time discrete sliding mode control for a flapping wing micro air vehicle using flapping frequency as the control input
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- Navigating waves: Advancing ocean dynamics through the nonlinear Schrödinger equation
- Experimental and numerical investigations into torsional-flexural behaviours of railway composite sleepers and bearers
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- Analysis of the magnetohydrodynamic effects on non-Newtonian fluid flow in an inclined non-uniform channel under long-wavelength, low-Reynolds number conditions
- Convergence analysis of non-matching finite elements for a linear monotone additive Schwarz scheme for semi-linear elliptic problems
- Global well-posedness and exponential decay estimates for semilinear Newell–Whitehead–Segel equation
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- B-spline curve theory: An overview and applications in real life
- Nonlinearity modeling for online estimation of industrial cooling fan speed subject to model uncertainties and state-dependent measurement noise
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- Special Issue: Dynamic Engineering and Control Methods for the Nonlinear Systems - Part II
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- Anti-control of Hopf bifurcation for a chaotic system
- Special Issue: Decision and Control in Nonlinear Systems - Part I
- Addressing target loss and actuator saturation in visual servoing of multirotors: A nonrecursive augmented dynamics control approach
- Collaborative control of multi-manipulator systems in intelligent manufacturing based on event-triggered and adaptive strategy
- Greenhouse monitoring system integrating NB-IOT technology and a cloud service framework
- Special Issue: Unleashing the Power of AI and ML in Dynamical System Research
- Computational analysis of the Covid-19 model using the continuous Galerkin–Petrov scheme
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- Research on the role of multi-sensor system information fusion in improving hardware control accuracy of intelligent system
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Artikel in diesem Heft
- Editorial
- Focus on NLENG 2023 Volume 12 Issue 1
- Research Articles
- Seismic vulnerability signal analysis of low tower cable-stayed bridges method based on convolutional attention network
- Robust passivity-based nonlinear controller design for bilateral teleoperation system under variable time delay and variable load disturbance
- A physically consistent AI-based SPH emulator for computational fluid dynamics
- Asymmetrical novel hyperchaotic system with two exponential functions and an application to image encryption
- A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations
- Flow and irreversible mechanism of pure and hybridized non-Newtonian nanofluids through elastic surfaces with melting effects
- Stability analysis of the corruption dynamics under fractional-order interventions
- Solutions of certain initial-boundary value problems via a new extended Laplace transform
- Numerical solution of two-dimensional fractional differential equations using Laplace transform with residual power series method
- Fractional-order lead networks to avoid limit cycle in control loops with dead zone and plant servo system
- Modeling anomalous transport in fractal porous media: A study of fractional diffusion PDEs using numerical method
- Analysis of nonlinear dynamics of RC slabs under blast loads: A hybrid machine learning approach
- On theoretical and numerical analysis of fractal--fractional non-linear hybrid differential equations
- Traveling wave solutions, numerical solutions, and stability analysis of the (2+1) conformal time-fractional generalized q-deformed sinh-Gordon equation
- Influence of damage on large displacement buckling analysis of beams
- Approximate numerical procedures for the Navier–Stokes system through the generalized method of lines
- Mathematical analysis of a combustible viscoelastic material in a cylindrical channel taking into account induced electric field: A spectral approach
- A new operational matrix method to solve nonlinear fractional differential equations
- New solutions for the generalized q-deformed wave equation with q-translation symmetry
- Optimize the corrosion behaviour and mechanical properties of AISI 316 stainless steel under heat treatment and previous cold working
- Soliton dynamics of the KdV–mKdV equation using three distinct exact methods in nonlinear phenomena
- Investigation of the lubrication performance of a marine diesel engine crankshaft using a thermo-electrohydrodynamic model
- Modeling credit risk with mixed fractional Brownian motion: An application to barrier options
- Method of feature extraction of abnormal communication signal in network based on nonlinear technology
- An innovative binocular vision-based method for displacement measurement in membrane structures
- An analysis of exponential kernel fractional difference operator for delta positivity
- Novel analytic solutions of strain wave model in micro-structured solids
- Conditions for the existence of soliton solutions: An analysis of coefficients in the generalized Wu–Zhang system and generalized Sawada–Kotera model
- Scale-3 Haar wavelet-based method of fractal-fractional differential equations with power law kernel and exponential decay kernel
- Non-linear influences of track dynamic irregularities on vertical levelling loss of heavy-haul railway track geometry under cyclic loadings
- Fast analysis approach for instability problems of thin shells utilizing ANNs and a Bayesian regularization back-propagation algorithm
- Validity and error analysis of calculating matrix exponential function and vector product
- Optimizing execution time and cost while scheduling scientific workflow in edge data center with fault tolerance awareness
- Estimating the dynamics of the drinking epidemic model with control interventions: A sensitivity analysis
- Online and offline physical education quality assessment based on mobile edge computing
- Discovering optical solutions to a nonlinear Schrödinger equation and its bifurcation and chaos analysis
- New convolved Fibonacci collocation procedure for the Fitzhugh–Nagumo non-linear equation
- Study of weakly nonlinear double-diffusive magneto-convection with throughflow under concentration modulation
- Variable sampling time discrete sliding mode control for a flapping wing micro air vehicle using flapping frequency as the control input
- Error analysis of arbitrarily high-order stepping schemes for fractional integro-differential equations with weakly singular kernels
- Solitary and periodic pattern solutions for time-fractional generalized nonlinear Schrödinger equation
- An unconditionally stable numerical scheme for solving nonlinear Fisher equation
- Effect of modulated boundary on heat and mass transport of Walter-B viscoelastic fluid saturated in porous medium
- Analysis of heat mass transfer in a squeezed Carreau nanofluid flow due to a sensor surface with variable thermal conductivity
- Navigating waves: Advancing ocean dynamics through the nonlinear Schrödinger equation
- Experimental and numerical investigations into torsional-flexural behaviours of railway composite sleepers and bearers
- Novel dynamics of the fractional KFG equation through the unified and unified solver schemes with stability and multistability analysis
- Analysis of the magnetohydrodynamic effects on non-Newtonian fluid flow in an inclined non-uniform channel under long-wavelength, low-Reynolds number conditions
- Convergence analysis of non-matching finite elements for a linear monotone additive Schwarz scheme for semi-linear elliptic problems
- Global well-posedness and exponential decay estimates for semilinear Newell–Whitehead–Segel equation
- Petrov-Galerkin method for small deflections in fourth-order beam equations in civil engineering
- Solution of third-order nonlinear integro-differential equations with parallel computing for intelligent IoT and wireless networks using the Haar wavelet method
- Mathematical modeling and computational analysis of hepatitis B virus transmission using the higher-order Galerkin scheme
- Mathematical model based on nonlinear differential equations and its control algorithm
- Bifurcation and chaos: Unraveling soliton solutions in a couple fractional-order nonlinear evolution equation
- Space–time variable-order carbon nanotube model using modified Atangana–Baleanu–Caputo derivative
- Minimal universal laser network model: Synchronization, extreme events, and multistability
- Valuation of forward start option with mean reverting stock model for uncertain markets
- Geometric nonlinear analysis based on the generalized displacement control method and orthogonal iteration
- Fuzzy neural network with backpropagation for fuzzy quadratic programming problems and portfolio optimization problems
- B-spline curve theory: An overview and applications in real life
- Nonlinearity modeling for online estimation of industrial cooling fan speed subject to model uncertainties and state-dependent measurement noise
- Quantitative analysis and modeling of ride sharing behavior based on internet of vehicles
- Review Article
- Bond performance of recycled coarse aggregate concrete with rebar under freeze–thaw environment: A review
- Retraction
- Retraction of “Convolutional neural network for UAV image processing and navigation in tree plantations based on deep learning”
- Special Issue: Dynamic Engineering and Control Methods for the Nonlinear Systems - Part II
- Improved nonlinear model predictive control with inequality constraints using particle filtering for nonlinear and highly coupled dynamical systems
- Anti-control of Hopf bifurcation for a chaotic system
- Special Issue: Decision and Control in Nonlinear Systems - Part I
- Addressing target loss and actuator saturation in visual servoing of multirotors: A nonrecursive augmented dynamics control approach
- Collaborative control of multi-manipulator systems in intelligent manufacturing based on event-triggered and adaptive strategy
- Greenhouse monitoring system integrating NB-IOT technology and a cloud service framework
- Special Issue: Unleashing the Power of AI and ML in Dynamical System Research
- Computational analysis of the Covid-19 model using the continuous Galerkin–Petrov scheme
- Special Issue: Nonlinear Analysis and Design of Communication Networks for IoT Applications - Part I
- Research on the role of multi-sensor system information fusion in improving hardware control accuracy of intelligent system
- Advanced integration of IoT and AI algorithms for comprehensive smart meter data analysis in smart grids