Research Article  Open Access
A. Riccio, R. Cristiano, G. Mezzacapo, M. Zarrelli, C. Toscano, "Experimental Investigation of Delamination Growth in Composite Laminates under a Compressive Load", Advances in Materials Science and Engineering, vol. 2017, Article ID 3431093, 17 pages, 2017. https://doi.org/10.1155/2017/3431093
Experimental Investigation of Delamination Growth in Composite Laminates under a Compressive Load
Abstract
This paper focuses on the use of nocontact experimental techniques for monitoring the interlaminar damage evolution in composite laminates. Indeed, Infrared Thermography and Digital Image Correlation are adopted to investigate, in composite plates with artificial delamination, the influence of the delamination initial position on the delamination growth. The paper also investigates the feasibility of using a nocontact experimental technique for the measurement of displacement and strain during mechanical tests, such as the Digital Image Correlation, to evaluate, by means of indirect measurements, the delamination growth as a function of the applied load.
1. Introduction
Carbon fiber reinforced polymer (CFRP) laminates are being studied widely in aerospace and naval application due to their low specific weight and high corrosion resistance with respect to the metallic alloys [1]. However, carbon fiber/epoxy laminates can experience damage formation or imperfections arising during the manufacture and assembly phases or during their service life. Indeed, carbon fiber/epoxy laminates are susceptible to develop, as a consequence of low velocity impacts [2–5], critical damage mechanisms (fiber failure, matrix cracking, and delamination) which are hardly detectable by visual inspection [6–10] and then very dangerous in terms of load carrying capability reduction especially under compressive loading conditions. Moreover, geometrical and material imperfections make the structure prone to the buckling phenomenon, as investigated in [11]. Hence, the study of the compressive behavior of impacted composite structures becomes of main concern for ensuring the fulfilment of integrity and safety structural requirements [12, 13].
In order to assess the internal defects and to monitor the damage initiation and propagation in composite structures, widespread experimental techniques are adopted. Among others, Infrared Thermography (IRT) and Digital Image Correlation (DIC), whose combination has been used in [14] to study plastic deformations, can be considered effective and reliable nocontact experimental techniques able to assess the integrity of composite structures. The Infrared Thermography technique is usually adopted to evaluate the temperature field [15–17], while the Digital Image Correlation technique has been found able to satisfy the increasing demand of experimental detailed information connected to a deformation problem [18–23]. The advantages related to these two techniques are the realtime measures, the high precision, and the absence of any contact or interference with the measured samples.
The Infrared Thermography is also used for detection of material defects in structures [24, 25] being particularly useful when nocontact inspection is needed, for example, when the investigated structural component is hot and dangerous to inspect with contact sensors or when parts are difficult to reach or disconnect or more in general could be damaged by contact. Indeed, the Infrared Thermography is able to reveal heat patterns in the infrared wavelength spectrum, which helps to visualize the damaged elements, using an infrared camera that captures the thermal images in specific ranges of temperatures (i.e., parts of the electromagnetic spectra). Among thermographic techniques, the active approach requires to induce a temperature gradient between the inspected body and the environment, generally warming up or cooling down the material. In the case of the used LockIn method, the component is warmed up by a modulated heat wave while the emitted heat by the component is acquired by the thermal camera and processed by a software whose algorithm is FFT based. [26, 27]. Infrared thermocameras are being continuously developed in terms of both pixel resolution/noise level [28] and LockIn technique [29] for various applications on solar cells, integrated circuits, and gate oxide integrity defects.
The DIC is one of the most popular nocontact techniques thanks to its ease of implementation, solution accuracy, and cheapness. It is an optical technique, which works by using cameras for recording digital photographs at different loading stages to be compared in order to obtain stress and strain fields. Indeed, according to the DIC technique, random and unique blocks of pixels are tracked to obtain strain and stress measurements.
Many researches have adopted the DIC technique to measure the strain field and the surface displacements in the last years. The local last squares fitting method to calculate the true strain field in presence of holes or crack areas has been investigated in [30] while the detection of strain singularity due to artificial delamination by using the DIC technique has been considered in [31, 32]. The DIC technique has been used to study the crack growth behavior in [33], the impact induced damage in composite structures under compressive load in [34], and finally, holes in composite laminates and the bonded repairs performance also under tensile load in [35].
In the present paper, the combination of DIC and IRT techniques is used to provide the displacements and the internal damage development in delaminated composite plates during a compressive test. The main aim is to investigate the influence of delamination position on the delamination growth in composite plates. The paper also investigates the feasibility of using the DIC, to evaluate, by means of indirect measurements of strain and displacement fields, the delamination growth as a function of the applied load.
In Sections 2 and 3, the IRT end DIC techniques are, respectively, introduced briefly explaining their working principles. In Section 4, the tested specimen characteristics and the test procedures and setup are presented. Finally, in Section 5, the experimental results are introduced and critically discussed.
2. Infrared Camera and LockIn Thermography
Every object at temperature , greater than the absolute zero (i.e., > 0 K), emits electromagnetic radiations. These radiations mainly fall into the infrared portion of the electromagnetic spectrum. The latter, called also infrared radiations or thermal radiations, propagates from one place to another through the electromagnetic waves. Infrared Thermography offers nocontact fast inspection of extensive areas and can be used as an alternative or complement to other inspection technologies because the infrared imaging device reveals features that are not visible to the naked eye.
Thermography is a nondestructive evaluation (NDE) tool that allows detecting imperfections or characterizing the materials and measuring temperature changes on the material surface due to stress generated thermal fields (SGTF) or externally applied thermal fields (EATF). A sensitive infrared camera, capable of detecting temperature changes less than 0.05 mK, is used to detect anomalies in the material heat transfer characteristics related to imperfections.
Materials must be thermally excited to show imperfections. Excitation sources can be applied by external thermal fields or by mechanical tools. In both cases, the produced thermal field depends on the investigated material emissivity. The emissivity, , in (1), is defined as the ratio between the thermal radiation, , emitted from a real surface, and the thermal radiation, , related to a blackbody at the same conditions (temperature, , wavelength, lambda, and direction):Infrared detectors are transducers of incident radiant energy. The most used infrared detectors (Figure 1) are(i)thermal detectors;(ii)quantum/photon detectors.They can be classified into cooled and uncooled infrared.
Cooled detectors have to be cooled down under ambient temperature in order to obtain a very rapid scanning rate, high sensitivity, and low thermal noise. The FLIR™ thermal camera used for this work is provided with a Stirling cycle cooling system. The InSb photovoltaic sensor is effective within the 3÷5 μm wavelength transmission window, that is, Medium Infrared part of the spectra. LockIn Thermography is based on the solution of the Fourier equation obtained taking into account the hypothesis that a homogeneous semiinfinite solid body is impinged by a sinusoidal thermal wave of temperature propagating along direction with modulation frequency, , and initial temperature, ,Equation (2) describes the harmonic part of that solution as a thermal wave, with the same modulation frequency as the exciting heat source, delayed by a phase lag and with an amplitude damped by a factor depending on the socalled diffusion length , where is the thermal diffusivity.
According to the LockIn Thermography technique, a series of thermal images representing the time evolution of the surface temperature of the inspected body are collected and “compared” with the reference signal given by the excitation thermal wave taken as a reference. So, as in LockIn amplifiers through the FFT the phase lag between the waves as well as the final amplitude can be obtained. From a computational point of view, if the two signals are both of sinetype, the same can be obtained with at least 4 equidistant (or even three) data points per modulation cycle ( to in Figure 2) [26].
Therefore, for each pixel, amplitude (see (3)) and phase (see (4)) can be calculated by means of already four thermal images taken during one modulation cycle:From an experimental point of view, the excitation heat source is made by a halogen lamp which emits light modulated by a function generator. So it is possible to choose the frequency and the amplitude of the heat source. Both the reference signal and the heat reemitted by the inspected body are acquired by the thermal camera. The LockIn software provides two maps in false colour related to and . The phase maps are particularly interesting due to the possibility of investigating deeper within the thickness of the specimen; the smaller the frequency is the deeper it probes. Since the phase is dependent also on μ, if the body has local discontinuities with different thermal response they will give different phase values, easily represented onto the phase maps with different colours with respect to the surrounding areas.
3. Digital Image Correlation
The DIC technique uses a couple of digital cameras for capturing stereoimages related to the examined structure under different loading conditions and so it allows estimating the unknown displacement (also out of the plane) and strain fields by comparing the recorded images to the initial nondeformed configuration [36]. The main DIC benefit is the capability of analyzing large displacements and deformations areas with no need of attaching sensors if compared with the conventional measuring methods.
Figure 3 shows the specimen’s surface preparation for DIC application. The surface is marked with a black dots pattern on a white background to increase the capability to distinguish locations on the specimen surface. Indeed, the black dots have to be absolutely randomly positioned and of random size, depending on the specimens’ dimensions. The images of the specimens, acquired during testing, are elaborated by splitting the surface and the pattern in many subsets. 50 substeps with step 23 and strain gauge length of 1 mm were automatically selected by the VIC 3D device in order to minimize the influence on the displacement and strain field, according to the selected region of interest and to the random black dot size and position.
The black pattern on a white background is conceived to make easier and quicker the algorithm work in recording and elaborating the captured images. Indeed, integer values from 0 (black) to 100 (white), according to the current gray gradation, within the pattern are used. During the test, the pattern substep will move to a new position and the software is able to recognize this new position for the displacement calculation. This process is described in Figure 4.
(a)
(b)
In order to evaluate the displacement field, a correlation method is needed. There are three main correlation methods, which belong to the sum of squared differences criteria group. All the suggested criteria are used to evaluate the displacements. The strains field is evaluated by derivatives of the computed displacement field.
(i) Sum of Squared Differences Criterionwhere and are the values before and after the motion, are the pixel coordinate in the reference image before the motion, and are the pixel coordinate in the reference image after the motion. It is a particularly fast criterion, even if it is not very robust because it is very sensitive to brightness changes.
(ii) Normalized Sum of Squared Differences CriterionwithThis criterion seems to be more robust than the previous one because it is not sensitive to the brightness scale variation.
(iii) ZeroNormalized Sum of Squared Differences Criterionwithwhere and are the average gray values of the respective subset. This is the most robust formulation because it is not sensitive to both brightness scale and brightness changes [26].
In order to correctly evaluate the displacements and the strains, it is necessary to know the specimen position according to a 3D scanning system. The camera parameters and relative orientation should be also calibrated to extract the specimen position in the chosen reference coordinate system by means of an arbitrary calibrated rigid target (white grid with equally spaced black dots in Figure 5).
The target does not need to be exactly flat (even if a rather flat calibration target is adopted), but the distance between two points has to be clearly known. In order to guarantee the grid covering the entire image, in particular close to the boundaries, distortions become really important. These distortions are calibrated by short lenses which require a substantial number of images.
4. Tested Specimen and Test Procedures Description
4.1. Tested Specimen Description
As already mentioned, the IRT and DIC techniques have been used to track damage propagation and strain/displacements fields in delaminated composite plates.
The tested specimens are composite plates made of G1157/RTM6 material. The material properties have been evaluated by means of a full experimental material characterization campaign performed by CNR (Italian National Research Council). The system plies have been arranged according to the stacking sequence . An artificial circular delamination with 40 mm diameter has been placed between the second and the third ply by means of a Teflon insert during manufacturing with a negligible thickness. In this paper only one thickness () and one radius () values have been examined. Further studies could evaluate the thickness and the delamination radius changes influence. Two geometrical configurations with central and side delamination have been tested. The geometrical configuration is described in Figure 6 while the geometrical description of the tested specimens and the properties of the material system are presented in Tables 1 and 2, respectively.


Figure 7 shows phase maps taken from a preliminary IRT inspection on the two delaminated panels in order to detect the artificial defect.
(a)
(b)
The infrared camera and the DIC cameras are placed framing, respectively, the opposite sides of the same specimen. This caution is due to the presence of the black and white pattern on one side of the sample, which could be responsible for an emissivity degradation of the surface, making IRT less effective. First, the thinner sublaminate has been analyzed as shown in Figure 8.
(a)
(b)
The DIC and the IR measurements have been carried out simultaneously. Indeed, the heat from the lighting system of the DIC optical setup is negligible if compared to the heat from the halogen lamps used during LockIn Thermography inspection. Hence, it has been easily verified during the tests.
In order to investigate the influence of the delamination position on the compressive mechanical behavior of the specimen, including delamination growth, the specimen has been subjected to an increasing compressive axial displacement. The compressive displacement has been applied in steps. In order to check for delamination growth, the IRT test has been performed at the end of each load step by pausing the loading process without unloading the specimen. Then the specimen is unloaded and a new step is started, applying an increasing level of displacement. On the other hand, during the same experimental analysis, the DIC test has been performed continuously by recording every outofplane surface displacement of the specimen when increasing the load within each step. The adopted infrared camera is a FLIR silver SC5500, while the DIC has been performed by using the VIC3D™ system provided with two high resolution cameras. The compression test has been carried out using the 810 Material Testing System (MTS) hydraulic machine in a statistical regime. The test has been performed setting the parameters reported in Table 3.

5. Experimental Results
As already mentioned, in order to be able to investigate the delamination growth during the compressive test, the test has been performed by applying 9 increasing levels of displacement, as shown in Tables 4 and 5 for the specimen with side and central delamination.


At the end of each load step, without unloading the specimen, the LockIn method is applied to check for the delamination growth by observing edges modification of the artificial defect onto the phase maps. Then the specimen is unloaded and a new step is performed up to the next level of displacement. On the other hand the DIC has been performed continuously during each loading step when applying the compressive displacement.
Figures 9 and 10 show the forcedisplacement curves, obtained at each step, respectively, for the specimen with side and central delamination. The slope reduction passing from one step to the next can be considered representative of the damage evolution experienced by the specimens during compression.
From Figures 9 and 10, both the specimens experience the buckling phenomenon leading to a constant value of the load while increasing the compressive displacements. The side delamination appears to be clearly affected by a reduction of the stiffness between one step and another with a clear decrease of the buckling load value. On the other hand, the specimen with central delamination seems to be not affected by stiffness or buckling load reduction from one step to another for all the performed compressive steps up to specimen failure.
Figures 11 and 12 show the DIC contour plot of the surface strain in the loading direction, respectively, for the specimen with side and central delamination at the end of the loading step. These images have been taken from the thicker sublaminate side. It is worth noting that all the DIC measurements have been taken in a 4000 × 4000 pixels (100 pixels = 1 mm) windows centered with respect to the specimen center. In a cyclic experimental test the variation of the local strain field distribution could be of course associated with localized damage effects. However, this phenomenon has been not analyzed because out of the scope of the present paper. Future works could be focused on the correlation between local damage and strain distribution.
The influence of delamination position on the strain distribution can be clearly observed in Figures 11 and 12 at the end of the first load steps. Indeed, increasing the applied displacement from one step to another the global buckling shape can be clearly distinguished.
The DIC surface strain distributions are plotted for each step along and symmetry axes for the specimen with side and central delamination, respectively, in Figures 13 and 14. The considerations made for Figures 11 and 12 apply.
The DIC outofplane displacements contours for both the studied specimens at the end of the loading steps are shown in Figures 15 and 16.
The effect of local delamination buckling on the outofplane displacements for the side delamination can be appreciated from the first steps images reported in Figure 15. On the other hand, Figure 16 shows that the central delamination buckling profile can be hardly distinguished from the first steps images.
The effects of the global buckling of the specimen on the outofplane displacements distribution can be observed from the last step images for both configurations. It is worth noting that, under compressive load, the two tested specimens undergo different deformed buckling shapes. Indeed, the specimen with side delamination buckles in the opposite direction with respect to thinner sublaminate while the central delaminated specimen buckles toward the direction of the thinner sublaminate.
The DIC outofplane displacements distributions are plotted for each step along and axes for the specimen with side and central delamination, respectively, in Figures 17 and 18. The considerations made for Figures 15 and 16 apply.
Tridimensional representations of the outofplane displacement distributions obtained with the DIC are presented in Figures 19 and 20, respectively, for the specimen with side and central delamination.
In these figures a comparison between the tridimensional distributions of the outofplane displacements obtained at the end of the first step and at the end of the last step is introduced. As it can be observed in Figure 19, even if the noise level is quite relevant in the first step images, the influence of the side positioned delamination on the outofplane displacements of the specimen is clearly distinguishable. The same cannot be said for Figure 20 where the central buckling delamination profile seems not to be completely developed. The global buckling profile is, again, clearly observable for both the specimen configurations. The difficulty in detecting the local buckling of delamination is due to the position of the DIC apparatus. Indeed the DIC apparatus, as already mentioned, has been located on the thicker sublaminate side. Hence, all we can appreciate from this position is the effect of the delamination buckling on the global outofplane and strain distributions of the specimen. The effect of delamination buckling on the global strain and displacement distributions seems to be more relevant for the side delamination with respect to the central delamination.
The LockIn method has allowed evaluating the delamination growth during the compressive static tests.
The delamination evolution as a function of the increasing compressive load is shown in the following phase maps. In Figure 21 the specimen with side delamination is shown as a circular red shape juxtaposed to blue background and in Figure 22 the phase maps of the specimen with the central delamination can be seen (also in this case as circular red shape on a blue background).
Figure 21 shows that the side delamination specimen is interested by a relevant delamination growth. Indeed, the side delamination area grows from 1256 mm^{2} to 2045 mm^{2} from the first step up to the specimen failure. On the other hand, Figure 22 shows that the central delamination growth is almost negligible (central delamination area, from the first step up to the specimen failure, grows from 1256 mm^{2} to 1471 mm^{2}). This behavior can be explained by the different global buckling shape in terms of outofplane direction observed for the two specimens. Indeed, for the side delamination specimen, the thinner sublaminate is under compression and the local buckling turns out to be a natural consequence. For the central delamination specimen, the thinner sublaminate is under traction, and hence it is not prone to the local buckling. The growth trend as a function of the applied compressive displacements, for the two types of delamination, is reported in Figure 23. For this figure, the differences in terms of growth between the two analyzed configurations can be clearly noticed. Indeed, for the side delamination, a constant growth can be appreciated with a sudden increase of delamination size at the global buckling displacement. On the contrary, the central delamination does not substantially grow up to the global buckling displacement where an instantaneous small increase of delaminated area can be noticed.
These experimental observations on the delamination size changes during compressive displacements application can be easily related to the load displacement curves recorded during the load steps and shown in Figures 9 and 10, respectively, for the side and the central delamination configuration. Indeed the delamination growth experienced by the side delamination seems to influence the global stiffness and the global buckling load of the specimen (see Figure 9). On the other hand, the specimen with the central delamination, which does not propagate, seems to not experience stiffness and buckling load reductions. As an example, in Figure 24 the deformation of the specimen with central delamination at buckling is shown.
In the frame of this paper, due to need of elevated emissivity values for LockIn performing, the DIC measurements have been taken on the opposite side with respect to surface closer to the artificial delamination. Hence, from the presented DIC measurements nothing can be derived concerning the delamination growth status. Indeed only the effects of delamination propagation on the global strain and outofplane displacements on the opposite side with respect to delamination have been evaluated. However, the details of the obtained experimental results in terms of outofplane displacements (even in the first compressive steps when the delamination buckling can be relevant) suggest an alternative use for the Digital Image Correlation. As a matter of facts, the use of DIC measurements, taken on the delaminated surface, for its capability to determine with accuracy the strain and displacements in the delamination plane, could provide useful indirect nocontact information in terms of delamination buckling shape size.
6. Conclusions
In this paper, an experimental investigation on the delamination growth in composite plates under compressive load, by using two different experimental techniques (Infrared Thermography via LockIn method and Damage Image Correlation), is presented. Two specimens with different delamination locations (side and central) have been investigated in order to understand the influence of delamination position on their global compressive behavior. The infrared camera has been used to monitor the internal damage development and the Digital Image Correlation (DIC) method has been used to obtain surface strain and outofplane displacements fields.
IRF and DIC measurements showed that, during test, the compressive behavior of the specimen with side delamination has been found mostly influenced by the delamination growth both in terms of stiffness and buckling load variations. On the contrary, no growth has been detected for the central delamination up to the final failure of the specimen. The influence of the local buckling of the delamination on the final surface strains and outofplane displacements distribution has been also appreciated for the two analyzed configurations. The obtained results suggest the use of DIC outputs, in terms of outofplane displacements, for the indirect measurement of the delamination size with a very easy implementation and without the need of contact with the specimen surface.
Conflicts of Interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
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Copyright © 2017 A. Riccio et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.