1. Introduction
The dissemination of the adhesive bonding processes as a complement to or even replacement for conventional mechanical joining techniques is taking place at a rapid pace in several different industries. This change in paradigm requires the support of new designs and construction concepts. As such, to ensure the accurate optimization of the performance of complex bonded connection, numerical simulation must be performed.
Great strides have been made to comprehend the science behind adhesive bonding and the mechanical properties of adhesives, mostly since these properties, strength and toughness, are required to define the cohesive laws necessary to run the previously mentioned simulations. These assist structural engineers in adhesive selection and structural-performance optimization during the design phase.
Apart from stiffness and strength assessments, which have been widely studied, toughness has been only more recently accessed through fracture mechanics approaches [
1]. These were developed to predict the failure of adhesive joints.
Experimentally, fracture mechanics tests mainly intend to measure a parameter that is, ideally, independent of the geometry of the cracked body or the thickness of the adhesive layer [
2]. As such, this “material parameter” is used for characterizing the toughness of materials, including in this case both interfaces and adhesives. One such parameter is the critical energy release rate,
GC, also called fracture toughness, which can be defined in three modes: mode I (tensile opening mode), mode II (in-plane shearing mode), and mode III (out-of-plane shearing mode) [
2].
However, recent studies by Akhavan-Safar et al. [
3], for mode I specimens, and Delzendehrooy et al. [
4], for mode II loading, have shown otherwise.
GC might not be fully independent of the geometry and mechanical characteristics of the specimen. By analyzing the results of numerous studies, with adhesives being tested with different adherend geometries and materials, several dependencies were found, placing doubts on the fact that the
GC can be defined as a material property. Additionally, Sarrado et al. [
5] proved that besides the geometry the data reduction scheme type may also influence the results. There are two main types, the simpler linear elastic fracture mechanics (LEFMs), and the more versatile non-linear fracture mechanics (NLFM).
Nonetheless, as part of the prevailing procedure, the concept of fracture energy of an adhesive as a material property remains, at least whenever a fully cohesive failure of the adhesive occurs. A similar concept can also be defined along the adhesive/substrate interface if the joint presents interfacial failure, in this case, representing a property of the specific interface and not of the adhesive. These fracture-mechanics-based procedures have been developed for characterizing and predicting the failure of adhesive joints, including flexible laminates [
1].
The double cantilever beam (DCB)—
Figure 1a—introduced by Ripling and Mostovoy [
6,
7] in the 1960s, is the most commonly used mode I test specimen. Employing a simple design, resulting in low-cost adherends, it has become the standard for determining the critical strain energy release rate in mode I, that is,
GIC [
8]. Such specimens are currently even more appealing since several crack-independent data reduction schemes have been developed [
9,
10]. This removes the previous need to directly monitor crack propagation [
1].
Since the 1960s, researchers have studied in detail the DCB test, resulting in the development of the ASTM D3433 standard [
11]. Published in 1973, it was later revised by Blackman et al. [
12], resulting in the publication of BS 7991 [
11] in 2001. The growing use of fiber-reinforced polymer composites has led, as of late, to the publication of a new international standard, known as ISO 25217 [
11].
Currently, only composite materials have standardized tests for pure mode II fracture toughness (
GIIC) characterization [
8]. One of the most commonly used methods is the end-loaded split (ELS) test—
Figure 1c—which provides mode II loading through flexion, resulting in pure shear in the specimen’s middle plane [
1,
13]. When compared against other testing procedures like the end-notched flexion (ENF), four-point ENF (4ENF), or full mode II mixed moment bending (MMB), the ELS has proved to be the better candidate [
14]. This mode II test does, however, still present some limitations related to friction, crack propagation stability, and proper fracture process zone (FPZ) development.
Due to the large ductility of the adhesive layers in adhesively bonded joints, the appearance of larger FPZs has been reported mostly under shear loading. And since the adhesive layer thickness is usually quite small, the common crack/FPZ monitoring techniques used in mode I present enormous challenges under mode II loading. As such, crack-independent methods, like the J-integral [
15,
16], and the effective crack length,
aeq, [
9,
17,
18,
19,
20], have been developed to address this issue.
This research has provided encouraging results, which, together with a simple manufacturing process like that of DCB specimens, make it an attractive test. One such benefit is the advantage of having stable crack propagation under displacement control in composite joints if the initial crack (
a0) to span length (
L) ratio is higher than 0.55 [
8,
19,
21,
22,
23].
Regarding the application of the ELS test in adhesive characterization, according to recent studies, a few requirements must be satisfied in order to ensure stable crack propagation during an ELS test. First, it is necessary to guarantee the formation of the entire FPZ by achieving steady-state crack propagation and, consequently, the plateau of the resistance curve. Secondly, it is necessary to guarantee the stability of the test under displacement control. The third requirement is to prevent significant deflections of the specimen. And the fourth requirement is to prevent adherend failure while testing [
24]. To meet these conditions, the ELS specimen’s geometry can be changed, and the span length (
LELS), initial crack length (
a0ELS), and, if necessary, the specimen’s beam height (
hELS) must be altered to achieve these conditions [
24,
25]. However, these criteria can be difficult to meet from a practical standpoint.
As such, alternative tests must be developed since the ELS tests still present excessive friction between the unbonded beams and instabilities associated with the crack propagating in the direction of the highest flexural moment. A novel method was devised by Budzik and Jummel [
26,
27], the inverse ELS (I-ELS) test—
Figure 1d—which is inherently a stable concept. This is due to the crack propagating in the direction of the highest flexural moment, improving on the fact that the ELS test was simply conditionally stable.
Fracture testing results, being highly dependent on data-reduction methods to extract the intended properties from the
P-
δ curves, can be extremely complex to analyze. Two main types of formulations can be devised, based on either LEFM [
9,
28] or NLFM, like the J-Integral [
29,
30].
Most classical LEFM data-reduction schemes [
9,
28] are based on the Irwin–Kies equation but usually need crack monitoring, which can be difficult to achieve, especially under mode II loading. Some of these classical methods derive from the simple beam theory (SBT) and include the compliance calibration method (CCM), the direct beam theory (DBT), the enhanced simple beam theory (ESBT) [
31], and the corrected beam theory (CBT). Each one attempts to improve on the previous one to account for the deviations from the simple assumptions of SBT, from experimental compliance calibration in CCM, to correction factors, like the ones proposed by Hashemi et al. [
32] that take into account the end block stiffening and large deflections. This later resulted in the correction factor ∆ to account for crack tip rotation and deflection, proposed in 1992 by Wang and Williams, for both mode I [
33] and mode II [
34] specimens. Nonetheless, with all these innovations, there is still the need to measure the real crack propagation, which is experimentally troublesome in mode II loading. When extensive damage occurs, such as microcracking or fiber bridging, this also becomes a problem [
35].
In recent years, approaches based on the concept of the equivalent crack length started to emerge because they were independent of crack monitoring. The compliance-based beam method (CBBM) [
9,
18] is one of these approaches. It considers three main aspects, the Timoshenko beam theory, the specimen’s compliance, and the equivalent crack length concept. Also considering the FPZ effects, this method became especially important for ductile adhesives and mode II loading. Since its initial appearance for the DCB specimen, several new formulations have been devised, under mode I, for DCB [
9], tapered DCB [
36], and modified DCB [
37], and under mode II, for the end-notched flexure (ENF) [
18] and ELS [
18] tests, and also several mixed-mode specimens [
11,
13].
At the moment, there are multiple specimens developed to characterize the mechanical behavior of the adhesives to be studied, under pure tensile and shear loading or fracture under mode I or II loading conditions. However, no test simultaneously combines more than one pure loading condition. Conclusively, to obtain the mechanical properties necessary to define the cohesive laws of an adhesive, four specimens, four testing procedures, and four data-reduction schemes are necessary, one for each loading condition. As such, adhesive characterization becomes a complex, time-consuming, and costly procedure for non-specialized personnel. Other than having to cure and perform four batches of tests separately with their specific apparatuses, it is necessary to have proper knowledge on how to manufacture, test, and treat the obtained data. Therefore, to a company, the competitiveness associated with not having to hire third parties to characterize the materials under inquiry becomes highly appealing.
For this purpose, a novel experimental tool [
38] is being developed at INEGI (Porto, Portugal). This tool consists of a unified specimen with four adhesive layers; a test apparatus, which sequentially tests all loading conditions in a single vertical movement; and a reduction code, which treats the raw data and gives the wanted properties. The full concept combines a butt joint, for tensile strength; the modified thick adherend shear test (mTAST), for shear strength; the modified DCB (mDCB), for mode I fracture toughness; and the ELS, for mode II fracture toughness.
The present work intends to experimentally validate fracture components of this concept, which were numerically studied previously by Correia et al. [
37]; see
Figure 1b. As previously shown by Faria et al. [
38] and Correia et al. [
37], the combined specimen is able to isolate the propagation of each mode without interference. This enables each test to be analyzed independently, since for mode I the whole specimen (
Figure 1b) is being used. And for mode II, only the two upper beams are under consideration, since at this point, the mDCB’s lower beam completely debonded from the combined specimen (turning
Figure 1b into
Figure 1c).
This work was performed using the same two structural epoxy adhesives used in the previously mentioned study, allowing us to validate the experimental capabilities of this specimen against the numerical data obtained then. Considering the design recommendations presented by Correia et al. [
37], two conditions were tested experimentally. They were defined as Balanced and Unbalanced specimen configurations, both with the optimal crack relations reported in the paper. The reasoning behind the names chosen is better detailed in
Section 2.2.
As an outcome, it was proven, experimentally, that the mDCB specimen can properly characterize an adhesive when using the recommended dimensions. The ELS specimen presented issues related to crack propagation stability and plastic yielding of the substrate, resulting in a proposal for a conceptual change by introducing the I-ELS as a substitute for the ELS test.
3. Experimental Results and Discussion
As a preview of the final testing procedure, as previously mentioned, the mode I (mDCB) and II (ELS) fracture tests were merged in the same specimen. These were performed sequentially, and the load–displacement curves were registered by the machine, as seen in
Figure 6.
The curves of each test can be easily distinguished by the failure of the mDCB specimen (near δ = 2 mm), and the mode II fracture test starts immediately after that. The resultant testing data would then be analyzed using a custom data-reduction code, which would split and treat each curve separately.
Post-testing, the fracture surfaces of each adhesive layer were analyzed, as seen in
Figure 7. By searching for possible defects or adhesive failure areas that could negatively influence the tests, the results can be analyzed critically. As such, only results without defects and cohesive failure like the one from
Figure 7 were considered for data treatment. Other than this, the actual crack length values can be measured from the failed specimens.
In this section, the experimental results are presented first and then discussed in each subsection. Two different conditions, a Balanced and an Unbalanced configuration, were tested experimentally. These nomenclatures mostly concern the behavior of the mDCB test, as previously detailed.
All experimental curves presented, both P-δ curves and R-curves, are representative of the data pool of each condition tested. However, at least three specimens for each test type were analyzed, with their data treated and validated as acceptable.
3.1. Balanced Specimen—r = 0.5
The Balanced configuration presents a (hI, hII) relation that results in a numerical mDCB compliance ratio (r, Equation (2)) of 0.5, which suggests the equal rotation of each specimen arm.
3.1.1. Mode I—mDCB
The
P-
δ curves and R-curves of the brittle and the tough adhesive for the Balanced specimen (
hII = 9 mm) are represented in
Figure 8a and
Figure 9a and
Figure 8b and
Figure 9b, respectively.
A summary of values obtained for all tests performed—mDCB for the unified specimen and DCB for the standard methods—is presented in
Table 4. The relative differences (∆
G) between the new data against the reference values (
Table 1) is presented by means of a percentage.
Representative curves of the arm rotations of the Balanced specimen are presented in
Figure 10a for the brittle adhesive and
Figure 10b for the tough adhesive.
The mean experimental values and respective standard deviations of each compliance ratio measured are presented in
Table 5. Furthermore, the relative difference (∆
r) between the experimental and numerical values is presented as well.
Looking at the machine’s results (
Figure 8), it becomes evident that the stiffness of the numerical simulation is higher than the experimental results. This phenomenon is expected, since the experimental setup is more compliant than the rigid boundary conditions of the simulation. With lower stiffness, it is expected that the experimental crack initiates its propagation at both lower load and higher cross-head displacement. At the point where the adhesive reached the same stress state, which confers its characteristic fracture toughness (
GIC), initiation begins.
As shown in the R-curves—
Figure 9—the numerical and experimental mDCB specimen present highly similar behavior. When compared against their standard counterpart, the DCB test, which was presented by the black dashed lines, small relative errors were found.
Table 4 shows variations smaller than 5% that fall within the result’s standard deviation range and are therefore considered negligible.
Having tracked the arm rotations (
Figure 10) of each respective mDCB beam, their normalized behavior against the numerical results presented interesting findings. The upper arm—the ELS specimen—showed a good correlation against the numerical trend. However, the bottom arm—the mDCB arm—rotated less experimentally. This behavior was found for all tested specimens in all the studied mDCB configurations. As a result, the compliance ratios (
Table 5) decreased by 38%, for the brittle adhesive, and 33%, for the tough adhesive.
Nonetheless, even though this change in behavior was observed, when looking at the results obtained for both adhesives, the actual r values felt by the specimen resulted in a proper characterization performance. This suggests that the compliance ratio depends not only on the specimen but also on the apparatus used. As such, this fact highlights the need to measure the arm rotations in order for the data-reduction scheme to account for the current conditions and properly characterize the adhesive.
This phenomenon might result from several facts: the lower rigidity of the apparatus, the effect of specimen self-weight, and others. This study proved that all these factors combined alter the load state of the specimen in relation to the numerical study but not its characterization capabilities.
3.1.2. Mode II—ELS
The
P-
δ curves and R-curves for the ELS specimens with
hII = 9 mm are shown in
Figure 11a and
Figure 12a for the brittle adhesive and
Figure 11b and
Figure 12b for the tough adhesive.
The mean values and respective standard deviations of each characterization method used—ELS for the unified specimen and ENF for the standard methods (
Table 1)—are presented in
Table 6. Additionally, the relative difference (∆
G) between these values is presented by means of a percentage.
As expected, it can be observed that numerical curves present higher stiffness than experimental ones. The proposed crack lengths of 100 mm (brittle) and 80 mm (tough) were chosen to reach a compromise between the need for
a0 I to be higher than
a0 II and the promotion of mode II stable crack propagation [
37]. However, as seen in
Figure 11a, this objective was not achieved for the brittle adhesive since all tests presented abrupt propagation stages (
Figure 12a). Even though this behavior was found, the average value obtained for the brittle adhesive showed relative errors of 6%, falling within the standard deviation range of the reference ENF test.
For the tough adhesive, an important observation was made during the experimental tests since the substrates were bent near the clamp region, proving they were plastically deformed. This was also supported by the highly non-linear behavior present in
Figure 11b, where a progressive reduction of stiffness is seen until propagation. Even when using high-strength steel (
Table 2) of approximately 2180 MPa in ultimate strength, the 9 mm thick ELS specimens were deformed near the clamping tool. This phenomenon is associated with the increase in experimental compliance, which requires much larger deflections to achieve the same critical adhesive stress state. Meanwhile, the steel’s yield stress can be easily reached in the region near the clamp tool, deforming the specimen.
This plastic deformation increased the energy absorbed, leading to an overestimation of the mode II fracture toughness of this adhesive, as seen in
Figure 12b. When looking solely at the mean values, this inaccuracy, resulting in errors of about 16% (
Table 6), could be considered acceptable. However, there is no superposition between the ranges of the standard deviation of each method, discrediting the previous affirmation.
As stated above, the
GIIC of the tough adhesive was not correctly measured, since the substrates suffered plastic deformation. A solution to this issue lies in the use of thicker steel substrates also manufactured from high strength steel (
Table 2); this solution can be proven in the study of the Unbalanced configuration, whose results are presented in the following section.
3.2. Unbalanced Specimen—r = 0.7
The Unbalanced configuration presents a (hI, hII) relation that results in a numerical mDCB compliance ratio (r, Equation (2)) of 0.7, which suggests uneven rotation of each specimen arm.
3.2.1. Mode I—mDCB
Figure 13a and
Figure 14a for the brittle adhesive and
Figure 13b and
Figure 14b for the tough adhesive represent the
P-
δ curves and R-curves obtained for the Unbalanced specimens with
hII = 12.7 mm, respectively, for each adhesive.
The mean values and respective standard deviations of each characterization test performed—mDCB for the unified specimen and DCB for the standard methods (
Table 1)—are presented in
Table 7. The relative difference (∆
G) between these values is presented as well.
The rotation curves of the Unbalanced specimen are displayed in
Figure 15a for the brittle adhesive and
Figure 15b for the tough adhesive.
The mean experimental values and respective standard deviations of the measured compliance ratios are presented in
Table 8. The relative difference (∆
r) between the experimental and numerical values obtained for each condition are also presented.
Once more, the experimental results present lower stiffness and propagation at lower loads and higher displacements in relation to the numerical results, as seen in
Figure 13.
Similarly to the Balanced configurations, both the R-curves—
Figure 14—and the average
GIC experimental values presented a good resemblance to the respective numerically obtained data. However, when compared against their standard counterpart, higher relative errors were found, as presented in
Table 7. Nonetheless, this was predicted in the numerical study, proving that the numerical behavior of the Unbalanced specimen is well defined. It is also relevant to say that the data-reduction scheme increases its overestimation of the higher fracture toughness of the adhesive.
The arm rotations (
Figure 15) of each respective mDCB beam showed the same behavior as the Balanced ones, and once more, this trend was found for all tested specimens. The resulting compliance ratios, seen in
Table 8, decreased by 38% for the brittle adhesive and 20% for the tough adhesive.
For this configuration, the change in r values in relation to the numerical results also benefited the characterization performance, resulting in a correct adhesive characterization when compared to the numerical predictions.
3.2.2. Mode II—ELS
The
P-
δ curves and R-curves of the ELS specimens with
hII = 12.7 mm are presented in
Figure 16a and
Figure 17a for the brittle adhesive and
Figure 16b and
Figure 17b for the tough adhesive.
A condensed presentation of values obtained for all tests performed—ELS for the unified specimen and ENF for the standard methods (
Table 1)—is presented in
Table 9. The relative differences (∆
G) between the new data against the reference values are presented by means of a percentage.
Similarly to the previously presented ELS configuration, the numerical curves present higher stiffness, as is expected. The representative
P-
δ and R-curves for brittle adhesive,
Figure 11a and
Figure 17a, again depict unstable crack propagation around the fracture energy of the adhesive,
GIIC. This unstable behavior required a high number of tests, resulting in a high standard deviation. Nonetheless, it was found that the mean value was satisfactory (
Table 6) since the relative errors against the ENF test were simply 2%.
The tough adhesive specimens did not visibly present any plastic deformation, even when considering the smaller but still existing progressive reduction in stiffness, prior to propagation, presented in
Figure 11b. This behavior can be attributed, in this case, to the FPZ plasticity present in more ductile adhesives. Since the specimen thickness was increased to 12.7 mm, and even though the high-strength steel now used had only 1740 MPa in ultimate strength, the extra thickness prevented plastic deformation. This was achieved by increasing the specimen’s stiffness and reducing its deflection by approximately 6 mm.
This change led to a proper measurement of the
GIIC of this adhesive, as seen in the representative R-curve in
Figure 17b. As such, negligible differences between the ELS and ENF results were found for this configuration, as presented in
Table 9.
From these results, it is possible to assess that the increase in thickness improved the prior problem of substrate yielding, but the propagation stability issue remains. As a solution, the mode II crack length could be further increased, but a compromise must be made in terms of the need for having enough useful mode I adhesive length while a0 I is higher than a0 II. Therefore, the room for improvement in the ELS test, i.e., increasing a0 II to promote mode II stable crack propagation, has a limit.
In the current state, the ELS test presents a limitation that results in the need for extensive mode II testing in order to have a sufficiently big data pool each time an adhesive is being characterized. This reduces the effects of having unpredictable/unstable crack propagation. As such, to prevent this problem, a conceptual change is preliminarily studied in the next section to assess the possibility of having a better mode II fracture specimen alternative while maintaining the good performance of the mode I test.