1. Introduction
Steel T-profiles are essential for a wide range of industries. They are crucial components of structural frameworks, support beams, and trusses used in construction, ensuring the durability and strength of buildings, bridges, and industrial facilities [
1]. Due to their rigidity and capacity to support loads, these profiles are vital in the production process for constructing machine frames and equipment supports. In the transportation sector, they provide structural support for train tracks, bridges, and tunnels, particularly in areas experiencing dynamic loads. Additionally, they reinforce chassis construction in automotive applications, enhancing vehicle longevity and safety. These profiles are also widely utilized in renewable energy systems, agricultural, maritime engineering, and infrastructure projects, indicating their versatility and dependability across various industries.
Spot welding is one of the techniques used to produce T-profiles, especially when fabricating structural and automotive components [
2]. The initial steps in the procedure involve preparing the steel sheets, cutting them to size, and ensuring their cleanliness. T-profiles are then created by spot welding perpendicular sheets together.
Steel T-profiles can be subjected to various types of loadings such as torsional, axial, bending, shear, or a combination, depending on the application and environmental conditions [
3]. Torsional loading involves twisting forces applied to the T-profile about its longitudinal axis. This kind of loading is frequently seen in situations where the T-profile is twisted or rotated, such as in car chassis during cornering or in structural frameworks subjected to seismic or wind pressures. When exposed to cyclic torsional loadings, steel T-profiles face many challenges, especially in structural frameworks and automotive chassis applications. These challenges must be addressed to prevent fatigue failure resulting from repetitive twisting forces. Thus, fatigue resistance is crucial. By uniformly distributing torsional loads throughout the cross-section, a well-designed structure extends the fatigue life of T-profiles and reduces stress concentrations that can cause premature failure. Innovative design approaches, such as refining the cross-sectional form and including reinforcement features, are used to optimize T-profiles for better fatigue resistance.
In the literature, a few studies have focused on the cycling performance of spot-welded structures. Kardomateas [
4] predicted the cyclic endurance of spot-welded connections in beams subjected to both bending and torsional forces, analyzing the physical mechanisms associated with stress induced by buckling. A two-dimensional model of buckling was employed to determine the stress distribution. Janardhan et al. [
5] conducted high-cycle fatigue tests to examine the failure mechanisms of resistance spot-welded DP600 steel. This study revealed that fatigue crack initiation predominantly occurred in the heat-affected zone or near the fusion zone. Subsequently, fatigue crack propagation extended through both the thickness and width directions until final failure. The primary factors affecting the failure mechanism of spot welds under fatigue loading were the stress concentration at the junction of the two bonded sheets, the stress intensity factor, and the base metal’s strength. Ertas and Akbulut [
6] conducted a series of fatigue life tests on modified tensile shear (MTS) test specimens joined by spot welding to investigate the impact of electrode force on fatigue life. The experimental results revealed that the number of cycles until failure varied depending on the spot-welding configurations, including electrode force and welding schedules. Their results suggested that through-thickness cracking was the main characteristic associated with fatigue failure. Duran and Demiral [
7] analyzed high-cycle fatigue of spot welds using the extended finite element method (XFEM) and finite element method (FEM). The advantage of XFEM simulations was the ability to observe the fracture propagation path, although the simulation time of FEM-based fatigue assessments was noticeably less. Qian et al. [
8] tested Al-steel resistance spot-welded T-joint structures under impact loads, conducting both analytical and numerical studies on the fracture behaviors and mechanisms. Aghabeigi et al. [
9] compared several fatigue damage criteria to forecast dissimilar friction stir spot welds’ fatigue life in cross-tension and lap-shear specimens. The Smith–Watson–Topper criterion showed the least amount of disagreement between experimental data and anticipated fatigue lifetimes, while a high degree of agreement was seen when using the Fatemi–Socie criterion to predict the locations of fracture tips in both types of specimens. Oh and Umewaza [
10] used welded elbow pipe and socket specimens and stainless steel sheets to conduct high-cycle fatigue testing under combined loading situations. The features of the welded specimens were studied using the parent sheet’s cyclic stress–strain curve. The stress concentration area of the weld experienced Mode I or Mode I + III fatigue fracture, with the crack initiation point varying according to the loading mode. Using the Gough–Pollard failure criterion for analysis, the applied load was divided into bending and torsion, and the fracture began on the side with the higher equivalent stress. Elitas et al. [
11] examined bending fatigue in Al 1100-DP steel (LITEC 1050) bimetal, noting that fatigue cracks were not observed at the Al–intermetallic interface but were seen at the interface of Litec DP steel and intermetallic at the site of the explosive weld.
However, none of these studies examined the performance of spot-welded T-profiles under cyclic torsional loads. Understanding the failure mechanisms is crucial for enhancing fatigue resistance and extending the service life of spot-welded assemblies. Accurately predicting the location of damage initiation, its spread with increasing cyclic loads, the failure cycle, and the importance of different assembly components is critical. This study developed an extended finite element (XFEM) model for a spot-welded assembly subjected to torsional loading. Initially, experimental data for two distinct scenarios were used to validate the numerical model. Subsequently, an evaluation was conducted to determine the impact of various model parameters, such as the diameter of spot welds used (D), the amount of torque applied (T), the thickness of the constituent parts of the assembly (t), and the presence of a base part on its fatigue performance.
2. XFEM Modelling
A three-dimensional XFEM model of the spot-welded assembly under torsional loading was created in this study. Abaqus 2021 FE software [
12] was used for this purpose. The geometric details of the assembly’s component parts are shown in
Figure 1. There are four main sections. During fatigue loading, Parts 1 and 2, which are the main parts, are supported by Parts 4 and 3, respectively.
Figure 2 presents the details of the developed XFEM model. The assembly was subjected to the torsional loading
T from the free ends of Parts 2 and 3 with a length of 75 mm, while it was fixed in all directions from the free ends of Parts 1 and 4 with the identical lengths.
T was applied to the reference point depicted in
Figure 2, which is situated at the geometric centre of the structure’s loaded portion. This point (RP-1) controlled the concerned region by means of the coupling constraint defined in the model. XFEM was primarily specified in these areas of the parts brought together using spot welds, in accordance with studies in the literature demonstrating that the cracks primarily originate and expand around the spot welds joining the structure. Using Abaqus’ tie constraint module, the interfaces of the parts on the welding side were set as master and slave surfaces in order to simulate spot welding. To form the assembly, different parts are joined together using a total of 38 spot welds. Twenty of them connected Parts 1 and 4, ten of them for Parts 2 and 3, six spot welds joined Parts 1 and 2, and two spot welds joined Parts 1 and 3 in the end.
Using 25 Fourier terms, a direct cycle analysis was carried out to simulate the fatigue loading with load ratio of −1. To trigger crack formation in the regions of stress concentration, T was applied to the structure in a separate static step prior to the loading cycle.
Details of the mesh used in the model are presented in
Figure 2. To ensure accuracy of the model, a mesh convergence study was performed. Three simulations were run when the assembly was subjected to the static
T load, using three different mesh sizes: 1.25 mm, 0.625 mm, and 0.3125 mm. The highest von Mises stress value found in the element adjacent to the welding zones was compared from each model. When the mesh size was adjusted from 0.625 mm to 0.3125 mm, the difference of concern was less than 4.13%, and when the mesh was changed from the coarsest to the medium one, it was more than 10.0%. As a result, the model was discretized using 0.625 mm element sizes. Because XFEM results are independent of the mesh size utilized, it is vital to emphasize that this mesh study was conducted for the static analysis simulating the formation of the cracks. For the discretization, eight-node linear brick elements with reduced integration (C3D8R) were employed.
The XFEM formulation procedure is summarized in
Figure 3. In XFEM, a displacement vector function
with the partition of unity enrichment is approximated as follows:
where
represents the typical nodal shape functions;
, the typical nodal displacement vector associated with the continuous portion of the finite element solution, is the first term in the equation above that appears on the right side. Multiplying the nodal enriched degree of freedom vector (
) by the corresponding discontinuous jump function
over the fracture surfaces yields the second term in the equation. The nodal enriched degree of freedom vector,
, and the associated elastic asymptotic crack-tip functions,
, are multiplied to obtain the third term. In this case, the first term on the right covers every node in the model; the second term only covers nodes whose shape function support is cut by the crack interior; the third term only covers nodes whose shape function support is cut by the crack tip.
The simulations employed the direct cyclic approach in Abaqus 2021/Standard, combining the XFEM and linear elastic fracture mechanics (LEFM). The crack’s nucleation and evolution were modeled using the Paris law, which relates the fracture energy release rate to crack growth.
Gpl = 0.85
and
Gthresh = 0.01
were the definitions of the maximum energy release rate and the lower limit, respectively.
stands for the critical equivalent strain energy release rate, where the following mode-mix criterion (using the linear power law model) was used to calculate it.
The opening (Mode I), first shear (Mode II), and second shear (Mode III) critical energy release rates in this model are represented by the symbols , , and , respectively. In the analysis, it is assumed that the coefficients , and have a value of 1.0.
The fatigue fracture in the structure is measured during the low-cycle fatigue study by Δ
G, which is the difference in energy release rates between the minimum and maximum loads. The Paris Law, which is written as
, was used to calculate the progress rate of the crack per cycle. The crack length is denoted by the letter
a, the cycle number is
N, and the material constants are
and
[
12]. In order to appropriately depict the beginning and progression of the crack, it is crucial to satisfy the condition
Gpl >
Gmax >
Gthresh in the computations.
Following the start of a crack, the following steps are taken: one element was released at the interface at the end of each cycle
N, allowing the software to advance the crack length (
aN) progressively from the current cycle to
aN+ΔN. Δ
Nj, where j is the node that corresponds to the crack tip and
N is the number of cycles required to produce failure in each interface element at the crack tip. The determined node spacing at the interface elements close to the crack tips (Δ
aNj =
aN+ΔN −
aN) and the material constants
c3 and
c4 were used in this calculation. The goal of the analysis was to release one or more interface elements at the end of each stable loading cycle. Thus, Δ
Nmin = min (Δ
Nj), which indicates the number of cycles necessary for the crack to propagate across its element length, Δ
aNmin = min (Δ
aNj), was found to be the element that required the fewest cycles for propagation. As a result, zero stiffness and constraint were achieved when the element requiring the fewest cycles was found to be suitable for release. According to [
12], with the interface element released during the next cycle, a new relative fracture energy release rate was computed for the interface elements at the crack tip.
The material constants used in the simulations are listed in
Table 1. They are mainly the elastic modulus, Poisson’s ratio, tensile strength, the critical energy release rates in different modes (
,
and
), and the material constants used in the Paris Law (
and
).
When
T and −
T were applied during cyclic torsional loading, the spot-welded assembly’s deformed shape was recorded, as shown in
Figure 4.
4. Conclusions
This study examined the fatigue failure of the T-profile assembly under torsional loading by considering several key parameters that included the magnitude of torque applied, thickness of assembly components, and spot-weld diameter. Crack propagation was simulated using the XFEM modeling approach, with the model’s accuracy confirmed against experimental data from previous studies. The following conclusions were drawn.
Increasing the spot weld diameter from 4.5 mm to 6.5 mm significantly enhanced the assembly’s torsional performance. The number of cycles Nf increased 3.23 times, while the crack propagation rate da/dN decreased by approximately 5.7 times. Regardless of weld size, cracks formed at the same location but propagated faster with smaller diameters due to inadequate assembly. Lower strains and stresses from larger diameters improved fatigue performance and decreased the chance of fracture.
When the thicknesses of the parts were changed from 1.5 mm to 1.0 mm, the Nf decreased by more than 3.8 times, while the average da/dN increased more than 3 times. For t = 2.0 mm, an infinite fatigue life was achieved.
When the T was changed from ±360 into ±600 Nm, the Nf decreased by 4.28 times, while the average crack propagation rate increased 5.33 times. It was found that one of the assembly’s supporting components greatly enhanced the structure’s fatigue performance, with the Nf rising by more than 14 times.