1. Introduction
Welding is an extensively used technology for joining steel metal components as the procedure is cost effective, it can be automated and allows design flexibility together with weight savings and high structural strength [
1]. Welds are mainly made by a localized heat intensive process of melting together two or more adjacent components, e.g., by shielded metal arc, gas metal arc or plasma arc welding technology [
2]. After the cool-down, they stay permanently bound as one part. Welding, however, is in fact also a very demanding and highly localized metallurgical process that significantly alters material microstructure, subsequently creating complex inhomogeneous regions of residual tensile stresses and deformation of original geometry [
3]. The most important issue regarding the welds and welded structure, in comparison to base material, is considerable decrease in dynamic strength and fatigue life [
4]. Inevitably, welds are considered weak spots of the structure by default, thus requiring proper design for durability considerations and separate empirical validations. After decades of research and a number of developed approaches for prediction of fatigue life of welded joints [
5], the topic remains appealing.
Stress concentrations are the most important quantity when considering fatigue life calculations of welded joints. Stresses can be obtained experimentally, analytically and/or numerically, but in any of the three cases the task is not straightforward [
6] as the demanding and complex estimations should involve reproduceable material and geometric data, exact process parameters, stress field inconsistencies and material inhomogeneities [
7], to name only a few. In many real cases the data are missing or cannot be measured and remain unknown. In such cases, their impact on durability of a welded structure is considered indirectly, for instance, by intensification factors [
4] representing many experimental data, as is the case with international standards covering the field, such as DIN 15018 [
8] or more recent EN 1993-1-8 Eurocode 3 [
9] and ASTM Standards for Welding (4th Edition) [
10]. According to Hobbacher [
11], the International Institute of Welding (IIW), a leading authority in developing and promoting material joining technologies, proposed four main methods for consistent fatigue life calculations based on available data and level of calculation effort, namely the Nominal stress approach (average stress in a welded joint with special fatigue data for each structural detail), Structural/geometrical “hot-spot” stress approach (considering stress types and stress components, obtained by finite element analysis (FEA)), Effective notch stress approach (calculation of notch stresses, but sensitive to the weld toe and the root design and finite element analysis) and Linear elastic fracture mechanical crack growth approach (based on concepts of fracture mechanics with limitation of practical application). What should be considered is the level of effort increase from the nominal stress approach towards the crack growth approach as concluded by Łagoda et al. [
5], whereas effectiveness of all approaches decreases with complexity of the evaluated structure.
The structural hot-spot stress method is perhaps the most widely used by mechanical and design engineers [
12,
13] as it considers stress type and stress tensor components which is valid for fatigue evaluations and in general. Essentially, it is applicable to weld details where fatigue failure potentially starts from the weld toe [
14,
15]. The relevant stress at the weld toe is denoted as the “hot-stress” that is extrapolated from the nominal (structural) surface stresses to the weld toe. Nominal stresses can be measured or more commonly calculated at a reference point outside of the stress concentration zone of the detail by finite element analysis (FEA) [
11,
12]. Afterwards, fatigue life can be calculated by matching the hot-spot stress with the corresponding number of cycles given by relevant hot-spot stress empirical S-N curves [
5].
The main limitations of discrete calculation FE methods for evaluation of nominal stresses are mostly connected to mesh and element sensitivity, numerical issues with singularities and algorithm stability at geometrical discontinuities and at stress concentrations [
16]. This, unfortunately, is the opposite of what one would expect for weld analysis. To overcome mesh sensitivity issues, Dong [
17] introduced an alternative finite element method based on the mapping of balanced nodal forces and moments along the evaluated weld line into equivalent structural stresses. The main advantage of the method is mesh-insensitive calculation of nodal stresses that in turn allows more convenient representation of a complex stress state due to weld notch effects. In addition, the approach also includes the formation of a universal master S-N curve [
18,
19], effectively replacing the need for weld-specific S-N curves. Since then, the method has been extensively tested and adopted in fatigue codes by ASME as well as included in commercial FE software Abaqus 2021 as a fe-safe Verity
®module [
20,
21].
The purpose of this work is focused on the understanding of the practical value of two established methods, namely the structural Hot-Spot method and the structural stress method fe-safe Verity, for fatigue life estimation of a double plate lap fillet weld made of high-strength complex phase CP-W800 steel, emphasizing the benefits and weaknesses of each method from an engineering point of view. The results of the research are validated with high-cycle S-N experimental data obtained for the actual weld detail and material [
22].
2. Method
The method is divided into four parts. First, the experimental background is given. Next, the modelling part of the study is presented. Furthermore, the structural stress method fe-safe Verity is described, and finally, the structural Hot-Spot method is presented.
2.1. Experimental Background
The aim of the research is to estimate the duration of fillet welds in axially loaded joints between sheet metals. Fillet welds between the sheet metals can be created with an overlapping joint as given in
Figure 1. However, a significant additional moment is introduced in the weld this way due to the asymmetry in simple (one-sided) overlapping joints. Namely, a lever for the moment is formed as a result of overlapping sheets on top of each other.
To circumvent this problem, a new symmetrical specimen with a two-sided overlapping joint was created, which can be seen in
Figure 2 (above). In this case, two narrower longitudinal sheets were welded with fillet welds onto wider plates. These were then gripped by the clamps of the test rig SCHENCK intended for cyclic tests of material (
Figure 2 below). One side of the test rig provided fixed (immovable) clamping and the other side introduced tensile/compressive load cycles into the specimen.
In this study, the following conditions were considered. The specimens were made of CP-W800 steel, welded together, placed into the test rig and subjected to pure alternating force-controlled cycle loading with a set of pre-determined force amplitudes and a sinusoidal form of the loading signal. The number of cycles to failure were recorded for each specimen, and then the durability curve was created. It is given in
Figure 3.
The intention of the simulations, however, was to compare the simulated number of cycles to failure to experimental observations for a specific level of the loading signal. Force amplitude
was thus considered, where the experimental specimen endured 159,298 cycles before failure. The shape of fatigue fracture occurring behind the transverse weld of the specimen can be seen in
Figure 2 (above).
2.2. FE Modelling
Simulated durability prediction was carried out using software tools from Dassault Systèmes group. Both 3D and 2D models of the specimen were first created using Catia V5. We note that the 2D model is a shell mesh of the geometric model of the specimen. Next, the geometries were imported into Abaqus, where structural FE analyses were carried out. Finally, durability predictions were performed using fe-safe Verity. The latter is a special module within fe-safe environment intended for fatigue analysis of welds. As the tools are fully compatible, quick adjustments and easy entries of subsequent changes at any stage of calculation are possible, which saves a lot of time during evaluations.
Figure 4a shows the imported 3D geometry of the specimen via the .CATPart format into Abaqus. The experimental specimen and the virtual specimen for FE simulations were identical. This also included the geometric details such as the gap between the sheets, i.e., the sheets were spaced 0.6 mm apart, so the only load-bearing connections between the sheets were the welds. The input form of the part is important as it ensures full nodal connections between finite elements during the meshing process. FE mesh suitability was first assessed by the Mesh Controls command. Processing of various solid areas was based on colour scales which provided an insight into the current state of the geometry suitability. The orange-coloured solid area (
Figure 4a) indicates the basic optional meshing of the entire geometry with tetrahedra, where only a random mesh of solid finite elements can be generated. However, since a structured mesh of hexahedra is preferable for the fe-safe Verity module, additional partitions were introduced to the geometric model of the welds. A structured FE mesh was thus obtained by forming symmetrical zones of the weld. Specifically, the external shapes of the welds were kept, but the structure of the geometry of the connected areas was changed in such a way that the previous single-piece 3D solid was then divided into individual symmetrical areas. These were then recognised by the automatic algorithm for structured meshing. In
Figure 4, the transition from the initial state to the improved state can be seen. The green solid areas show the full capability for structured meshing where Hex or Hex-dominated finite element mesh can be generated. Similarly, the yellow solid areas indicate the intermediate capability for structured meshing where the Sweep function can be used for the generation of finite element mesh. The latter option is also appropriate for the definition of welds in fe-safe Verity. As the structural Hot-Spot method requires the size of finite elements below the thickness of the thinnest sheet metal in the joint, but recommends the size below 40% of this value [
11], the latter recommendation was used to determine the sizes of the coarse 3D mesh (0.83 mm) and 2D mesh (1 mm) in this study. The element sizes of the medium and fine 3D meshes were chosen as 0.5 mm 0.42 mm, respectively. The results of meshing the solid geometry of the specimen are given in
Figure 5. From the generated FE models of finite elements, it can be seen that the welds and sheets are connected directly node to node via adjacent finite elements. The FE meshes consist of C3D8 type FE elements in the case of the 3D mesh and S4 in case of the 2D mesh. The number of elements and nodes for three 3D FE densities and the 2D mesh are given in
Table 1).
Finally, the supports and loads were defined to resemble experimental conditions (
Figure 4c). On one side, the specimen was clamped, and on the other side, a pure alternating mechanical load was applied. As small finite element models were used in the analyses, the symmetry boundary conditions were not applied. However, for models with a greater number of finite elements, the consideration of the symmetry boundary conditions could also be considered. Importantly, node sets and finite element sets were created around all four fillet welds of the test specimen to identify them easily in the fe-safe Verity module during durability calculation (
Figure 6).
During the simulations, elastic modulus E = 200,000 MPa and Poisson’s ratio = 0.3 were taken into account for CP-W800 steel. Standard implicit structural analyses were performed, which served for the definition of the magnitudes of the maximum stresses and their location around the weld points.
2.3. Structural Stress Method FE-Safe Verity
The mesh-insensitive structural stress method was first proposed by Dong [
17]. The approach adopts a stress linearisation over the plate thickness based on an equilibrium equivalent. Such linear structural stress
represents a simple stress state in the form of membrane
and bending
components that satisfies the equilibrium with external loading as
Using nodal forces in 3D finite element models and nodal forces and moments in shell and plate elements, the structural stress in welded joints can be effectively calculated as
where
t stands for the thickness of the material,
is line force in the direction of
, and
is line moment about
in a local coordinate system of every node in the finite element model [
20]. The details of the calculation are given in [
20]. The calculated structural stress,
, can be used as a parameter to estimate the fatigue strengths of steel welds for different types of welds and a joint configuration with a single (master) S-N curve. Thus, there is no need to “classify” the welded joint. Structural stress
as a parameter can be further improved to reduce the scatter between different types of welds by the introduction of equivalent structural stress parameter
, which can capture the effects of stress concentration, plate thickness and loading mode effects (ratio of bending and structural stress) on fatigue behaviour of welded components [
20]. It is based on a two-stage crack growth model with further details available in [
20]. In this work, the Verity
®module was used, which was developed by the Battelle Memorial Institute and is integrated into fe-safe commercial code [
21].
The results of structural FE analysis in this study were thus exported into a separate fe-safe Verity analysis via the Abaqus .odb file. The durability data of the material were provided from experimental tests in the form of the S-N curve for a 50% failure probability (
Figure 3). This was considered as the master S-N curve during the study. Furthermore, a purely alternating load with a dynamic ratio of
was considered. Two pre-set algorithms (criteria) were used to calculate fatigue damage: for the welds, the
(WELD) SSM-Normal algorithm was used, and for the sheets,
Normal Stress: Goodman was used. The
(WELD) SSM-Normal algorithm follows the structural stress method described above and given in detail in [
20]. The
Normal Stress: Goodman algorithm follows relation
where
,
,
and
stand for the stress amplitude of the analysed load cycle, the stress amplitude of the analysed load cycle at zero mean stress, the mean stress and the tensile strength of the material, respectively [
23]. Fillet welds were defined using the fe-safe/Weld Preparation environment with the stored sets of nodes and elements. Upon the completion of the durability analyses, the predicted number of cycles to failure were obtained in
LOGLife format.
LOGLife format transforms the number of cycles to failure,
N, into the logarithmic form,
, which then enables an easier comparison of small and large numbers.
2.4. Structural Hot-Spot Method
The weakest link in a welded product is the welds. Compared to other means of joining, the welds allow for distributed loading paths and, if executed correctly, a smoother flow of stress compared to, e.g., bolted connection. Welding is an extreme heating and cooling process that in turn disrupts the material lattice of the joined parts. If observed locally, the welds introduce a geometrical feature that acts as a stress concentration detail. This, coupled with diminished mechanical properties of the base material in the heat-affected zone, makes the welds into weak points in the structure. If a welded product is subjected to complex loading and/or is made of complex geometry, an FE method is employed to gain insight into the stress–strain response of the structure. A direct model of the weld would include sharp notches, zero radius transitions and large gradients in the thickness of the material. All these geometrical features are impossible to capture with FEM as they introduce singularity points where no meaningful insights can be gained. A special method termed the Hot-Spot method (HSM) [
24] was therefore developed to address this problem. The idea is based on moving the scope of interest away from singularity points. Stresses or strains are observed on a line perpendicular to the weld and are then exported at fractions of material thickness (
t) away from the weld toe (
Figure 7).
The exported results are now used in a function that extrapolates the so-called Hot-Spot stress in the weld. The extrapolation is based on previous points perpendicular to the welding line at points of maximum computed stress. Moreover, it depends on the stress gradient and FE mesh parameters. In this study, a quadratic extrapolation is applied [
24] as
Here,
denotes the stress in the Hot Spot, and
is the surface stress along the points at the
x factor of
t thickness of the material (
Figure 7). In this study, the thickness of the material is the nominal
. The method is suitable for sheet metals, and as we are dealing with fatigue loading,
has to be calculated at multiple points in order to access stress range
in Equation (
5),
The procedure of calculating fatigue life of the weld continues by selecting the appropriate geometric detail. Here, a lap joint is studied which is composed of two fillet welds as shown in
Figure 4. The fatigue strength of such a joint is
at
load cycles [
9]. Unless otherwise specified, the slope of the log(S)–log(N) curve is considered as
. To calculate the fatigue life at the Hot Spot, Equation (
6) has to be solved,
Here, represents the fatigue life at the Hot Spot which was sought for during this study.