Abstract
The main aim of the work was the experimental and numerical analysis of the energy absorption/dissipation capabilities and failure mechanisms of novel hyper-elastic target material intended for ballistic applications including layers of composite armors, projectile catching systems and anti-ricochet layers covering walls of shooting ranges, ballistic tunnels, etc. Static and dynamic mechanical properties of the material were analyzed at both room and elevated temperatures (\(40\div 80\,^{\circ }\hbox {C}\)). Numerical models of the material and \(7.62\times 25\) mm FMJ projectile were defined. Simulations of the hyper-elastic target penetration with the projectile were carried out. The differences between the results obtained numerically and experimentally were determined (measured as a relative error) and were lower than 15% what testified about proper definition of the numerical models of the analyzed phenomenon components.
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1 Introduction
Hyper-elastic rubber-like materials are commonly used in various branches of engineering, especially in those applications where high damping properties are required [1,2,3,4]. In recent years, there were many attempts to use relatively soft hyperelastic rubber-like materials as well as non-Newtonian materials, shear-thickening and magnetorheological fluids or additively manufacturing pantographic structures, in various ballistic applications [5,6,7,8,9,10,11,12,13,14,15,16,17]. Obviously, these materials cannot constitute a standalone armors, but their advantages such as relatively low cost, durability even under multiple impact conditions, high recycling capacity, energy absorption and dissipation capabilities make them interesting option that can be used in composite armors applications as interlayers in multilayered designs, adhesive joints, spall liners, etc., to enhance the efficiency of such solutions. For example in the work [18], authors improved the protection capability of rubber-metal armor systems by around 8% by optimizing rubber interlayer (proper adjustment of parameters such as hardness, damping, glass transition temperature). The protection effectiveness of high hardness steel subjected to penetration by projectiles was increased by use of elastomeric coatings in the work [19]. In that case, the large difference in impedance between target materials was indicated as a main factors of efficiency enhancement. The authors indicated that appropriate bending stiffness of the backing material is crucial for proper functioning of the elastomer. In the work [20], butyl-rubber was used in the form of floor mats protecting occupants against potential injuries from under vehicle blast loading [21]. Rubber layers are often used in non-explosive reactive armors (NERA) protecting against kinetic-energy penetrators (KEP), long-rod projectiles [22,23,24] and shaped charge jets [25,26,27,28]. In such armors, elastomers or polymers are placed between steel plates. Protective mechanisms in such solutions are based mainly on the bulging effect. For example in the work [29], author proved that bulging effect in the laminated steel-elastomer armor disturbed and slendered KEP projectiles, causing their fragmentation.
Ballistic applications of hyperelastic rubber-like materials include also human tissue simulants in analyses of different types of ballistic trauma. Experiments on human or animal cadavers are difficult to carry out due to both practical and ethical issues. Therefore, scientists were enforced to develop new types of homogeneous materials that could substitute human tissues or their conventional simulants (ballistic gelatins [30, 31], ballistic soaps [32, 33]) used in both penetrating [34, 35] and blunt [36, 37] ballistic impact scenarios. Moreover, other than soft materials, a mention can be made of the result of an impact toward stiffer living tissue as bone [38, 39]. Using of gelatins in ballistic impact experiments may be unconvenient due to their temperature sensitivity, and temporal character of cavities produced by penetrating projectile [40, 41]. For those reasons, synthetic equivalents of conventional gelatins and soaps were developed (SEBS—styrene-ethylene-butylene-styrene gel, Perma-Gel®—styrene-ethylene-butylene co-polymer, Sylgard gel, etc.). Synthetic tissue simulants have numerous benefits in relation to conventional ones, such as low temperature sensitivity, transparency and uniform mechanical properties [42, 43]. They can be recast after testing and do not suffer from biological degradation. Efficiency of hyperelastic tissue simulants was confirmed in numerous studies of ballistic impact phenomenon. In the work [44], authors carried out a series of tests in which the ballistic response of Perma-Gel®to the impact of ball bearings with a diameter of 5.5 mm and impact velocities of between 150 and 1050 m/s was analyzed. Efficiency of the material was compared directly to that of 10% and 20% gelatin. Comparison of depths of penetration values in Perma-Gel®and gelatin targets showed reasonable agreement. The indentation response of Perma-Gel was investigated also in the work [45]. Analysis of indentation depths showed that Perma-Gel properly reproduced real tissue response, especially at low strain energy densities. Lower correlation was achieved as the loading mass increased. Mechanical properties of SEBS gel were analyzed in a wide range of strain rates in the work [46]. Barreling effect and a non-homogeneous radial strain of the sample were observed during compression experiments what caused that material behavior was not identified for a whole range of strain through mechanical testing. The study of thermic effects can be faced from a modeling point of view introducing a more comprehensive thermo-viscoelastic model as done in [47]. With the same spirit, namely using a variational approach, plasticity, friction, and damage effects could be taken into account; see, e.g., [48,49,50,51,52,53]. The others investigations of new innovative armors, light and practical, could be framed in the design of new metamaterials, see [54, 55].
Ballistic tests are highly dynamic and destructive phenomena that are very difficult to analyze and quantitative assessment, especially when hyper-elastic materials are included. Such materials can significantly deform under mechanical load, but their deformations are temporary—they exhibit high elastic recovery and nonlinear stress–strain-deformation relationship in the deformation range above 5%. That is why the ballistic experiments on rubber-like materials are often supported by numerical methods allowing to obtain additional information about phenomena. For example in the paper [56], a new visco-hyperelastic law based on the Mooney–Rivlin model was proposed to numerically reproduce the SEBS gel material behavior. The material characterization tests were performed over a wide range of strain rates (0.002–1500 s\(^{-1})\). Sylgard gel and ballistic gelatin under ballistic impact were modeled with Mooney–Rivlin and Ogden material models in the works [57, 58] and [59], respectively.
The main aim of the present study was to create an accurate and verified constitutive model of novel hyperelastic material that will be able to facilitate designing processes of various types of protective structures used in different ballistic applications including layers of composite armors, projectile catching systems and anti-ricochet layers covering walls of shooting ranges, ballistic tunnels, etc.
2 Materials
The novel hyper-elastic material analyzed in the study is an elastomer based on modified silicones. The density of the material (determined as an average of three measurements) was 946 kg/m\(^{3}\). The using temperature ranges from about –20 \(^{\circ }\) to \(+\) 60 \(^{\circ }\hbox {C}\) (Fig. 1).
The hyper-elastic material constituted a target that was impacted with 7.62\(\times \) 25 mm full metal jacket (FMJ) bullet (NIJ level I and IIA) [60]. The bullet core is made of lead-antimony alloy and is surrounded with a tombac covered steel jacket (Fig. 2). The initial velocity of analyzed variant of projectile was around 420 m/s what gives the energy of about 550–600 J (mass \(m= 5.5\) g).
3 Materials characterization tests
In the current study, the material type *MAT_181_SIMPLIFIED_RUBBER in LS-DYNA software [61, 62] was chosen to describe the hyperelastic behavior of target material since it does not require parameter fitting procedure like in classic Ogden or Yeoh models. Instead of this, the experimental curves of engineering stress in function of engineering strain constitute the main input to the model. The curves should cover the complete range of expected response, including both compressive (negative values) and tensile (positive values) regimes.
3.1 Quasi-static compression tests
Compression and tension tests were carried out on the samples showed in Fig. 3 in order to collect data (force-displacement curves) allowing subsequent definition and validation of numerical models of the target material by numerical reproduction of experimental tests and comparison the results obtained in simulations with the experimental observations. Camera was used to register deformation of samples and to measure their actual cross sections.
Zwick Z100 universal testing machine with a hydraulic drive was used for mechanical experiments (Fig. 4).
The compression and tension processes registered with a camera are shown in Figs. 5 and 6, respectively.
The results of quasi-static compression tests of the target material at room temperature are shown in Fig. 7. The analyzed hyperelastic material showed a slight resistance (\(\sigma _\textrm{eng} < 10\) MPa) to the testing machine punch, up to a deformation of about 70%. Then, the registered stresses started to increase exponentially, which, however, was caused by the accelerating flattening of the material (probably breaking of the internal bonds between the chains) and the decrease in the distance between the punches of the testing machine.
Similarly, in the case of tensile tests, where the stress in the material did not exceed the value of \(\sigma _\textrm{eng} < 2.5\) MPa (Fig. 8). In this case, it should be noted that the failure strain of the material was approximately 160% (Figs. 6, 8).
3.2 Dynamic compression of hyperelastic target material.
Split Hopkinson Pressure Bar (SHPB) apparatus was used for dynamic compression of hyper-elastic material samples (Fig. 9) [63,64,65]. The load pulse was shaped with a copper disk 5 mm in diameter and 3 mm thick.
As shown in Fig. 10, the results obtained in tests with the use of SHPB are characterized by a very large dispersion. In addition, the stress levels recorded in the samples reached values close to 100 MPa, which would suggest strain rate hardening of the material exceeding 1000%. Therefore, these results were unreliable and such a large error could be caused by some mistake in the recording of signals from the bars or the inhomogeneity of the samples and the occurrence of air bubbles inside of them. Therefore, the results from the SHPB tests were not used to determine the strain rate sensitivity of the material. The strain-hardening of the material was determined in a simplified manner by applying appropriate multipliers.
For this purpose, the stress–strain curves obtained during quasi-static tests and the results of ballistic tests determining the dependence of the residual velocity of the projectile on the thickness of the perforated target made of a hyperelastic material were used. Ballistic experiments were reproduced numerically. In order to determine the proper course of the curves for the material under dynamic conditions for a known strain rate, the stresses and strains recorded in quasi-static tests were multiplied and divided, respectively, by the appropriate values of coefficient in such a way as to obtain the residual velocity of the projectile similar like those recorded in experiments.
3.3 Material characterization tests in a wide temperature range
Mechanical properties of hyperelastic materials are often very sensitive to temperature changes. Therefore, material characterization tests of the analyzed hyperelastic target material were carried out in a wide temperature range (–90 \(^{\circ }\hbox {C}\) to \(+\) 100 \(^{\circ }\hbox {C}\)). Compression tests were performed at elevated temperatures 40 \(^{\circ }\hbox {C}\) to \(+\) 80 \(^{\circ }\hbox {C}\). Based on the results, it can be concluded that the material is very sensitive to temperature rise. As the temperature increased, the material became more plastic and the resistance it exhibited to the punches of the testing machine, and thus, the stresses registered in it decreased. The internal structure of the material was also degraded much earlier, so that the exponential increase in stresses in the material occurred at significantly lower strains than in the case of samples tested at room temperature. The results of quasi-static compression tests of the target material at elevated temperatures are shown in Fig. 11. In Fig. 11, a different way of material failure with increasing temperature can be observed. With the increase in temperature, the processes of degradation of the internal structure of the material were significantly intensified, which resulted in increasingly ragged edges of the samples.
Additional tests were carried out with Differential scanning calorimetry (DSC) method. DSC is a commonly used thermal analysis technique that measures the changes in the physical properties of the sample subjected to thermal heating. During the test, a sample is enclosed inside the pan, which is in the next step mounted inside the furnace on the thermoelectric disk along with an empty reference. The research was conducted in two variants. The first one consisted in determining the parameters characteristic for the sample in the normal state in the range from –90 \(^{\circ }\hbox {C}\) to \(+\) 100 \(^{\circ }\hbox {C}\). During the tests, the glass transition and softening processes were analyzed. In the second variant, preliminary conditioning of the test sample was carried out in the following cycles: 35 \(^{\circ }\hbox {C}\) for 6 h, 40 \(^{\circ }\hbox {C}\) for 6 h, 45 \(^{\circ }\hbox {C}\) for 3 h and 50 \(^{\circ }\hbox {C}\) for 6 h. After conditioning at the specified temperature, the samples were cooled to 0 \(^{\circ }\hbox {C}\), then heated at a heating rate of 5 \(^{\circ }\hbox {C}\)/min to 100 \(^{\circ }\hbox {C}\). In this case, only the softening process of the tested samples was analyzed. The results of DSC analyses for the tested samples are shown in Figs. 12 and 13 and in Tables 1 and 2.
Hermetic aluminum pans were used during the tests carried out in a nitrogen atmosphere, with a heating rate of 5\(^{\circ }\hbox {C}\)/min.
DSC analysis showed that two changes characterized the sample. The first is the glass transition process consisting in the transition from a plastic state to a glass state. The tested material loses its plastic properties at temperature below 0 \(^{\circ }\hbox {C}\). In addition, it is crucial from the user point of view that in temperature 40 \(^{\circ }\hbox {C}\), it begins to soften, and this transformation takes place in the wide temperature range. The designated temperature of the end of the softening process is about 85 \(^{\circ }\hbox {C}\) (see Fig. 13). Based on the obtained test results, it can be concluded that tested material retains its functional properties in the temperature range above 0 \(^{\circ }\hbox {C}\) and below 40 \(^{\circ }\hbox {C}\).
The tests, preceded by preliminary conditioning, showed that heating the samples at a temperature above 40 \(^{\circ }\hbox {C}\) causes the loss of the original thermal properties of the material. As the conditioning temperature increases, the shape of the DSC curve changes and the softening process takes place in two stages. The first softening stage in the case of samples heated at 40 \(^{\circ }\hbox {C}\), 45 \(^{\circ }\hbox {C}\) and 50 \(^{\circ }\hbox {C}\) will occur below 40 \(^{\circ }\hbox {C}\). The second softening stage shifts toward higher temperatures as the conditioning temperature increases.
3.4 Compression of projectile at high strain rates
Deformation rates of projectiles under ballistic impact conditions were analyzed in order to properly define numerical model of projectile. During experiments, projectiles fired with different initial velocities (73.4–251 m/s) impacted a target much stiffer than them, such that it can be considered rigid (Fig. 14), and their deformations were measured (Fig. 15, Table 3).
4 Material modeling
4.1 Hyperelastic material model parameters identification
Material type *MAT_181_SIMPLIFIED_RUBBER in LS-DYNA software [61, 62] was chosen to describe the hyperelastic behavior of target material. Experimentally determined uniaxial engineering stress versus engineering strain constituted main input to the model. Experimental curves should cover both compressive (negative values) and tensile (positive values) regions. Multiple curves can be defined for various values of strain rates and therefore, values of stress at a particular strain and strain rate will be a linear interpolation between these curves (Fig. 16).
The stress–strain curve determined during uniaxial quasi-static compression and tension tests that constituted an input data for the *MAT_181_SIMPLIFIED_RUBBER model in the current work is shown in Fig. 17. Values of additional parameters used in the model are listed in Table 4.
After defining of the hyperelastic target material model, it was validated by the numerical reproduction of the mechanical tests and comparison of the compression process, deformation of samples and force-displacement curves obtained experimentally and numerically (Figs. 18, 19).
The main attention was paid to compression tests since compressive loads were dominate during the target perforation process simulation of which was the main goal of the study. As it can be seen in Fig. 19, a satisfying agreement in the shapes of the curves obtained experimentally and numerically was obtained. The numerical equivalent of the hyperelastic material was a little bit stiffer than the real material. Similar curves in the simulation variants in which elements with the sizes of 0.5 mm and 1 mm were used confirmed very low sensitivity of the model to the mesh size adopted.
4.2 Identification of projectile material model parameters
Metallic components of the simulations were modeled with the Johnson–Cook (J–C) model [61, 62]. This elastic–plastic model is highly efficient in reproduction of the metals at high strain rates. It takes into account the effects of strain hardening and thermal softening. Parameters of J–C model for the analyzed components were taken from the literature and from the own library of materials [66, 67] and are summarized in Table 5.
A quarter (two symmetry planes) of the model was created. Jacket of the projectile was modeled with 56,653 solid finite elements. Lead core was modeled with elements in Arbitrary Lagrangian–Eulerian (ALE) formulation. The 696,653 elements were used in the whole model including air domain. Validation of the model was based on comparison of deformations of projectiles obtained in simulations and experiments (Fig. 20).
Small differences (measured by the relative error value) between experimental and numerical results were observed (Table 6). The error did not exceed 13%. It confirmed that the model was properly defined.
5 Ballistic impact experiments
Ballistic impact tests were carried out on the stand presented in Fig. 21. Several variants of target thicknesses were subjected to projectile impact. The edges of the sample were fixed by the frame tightened with screws. The impact and residual velocities of projectiles were measured with optical gates and Doppler radar (Weibel model SL-520P), respectively. Three shots were performed for each of the target thicknesses.
The results of the experiments are shown in Table 7 and in Fig. 22.
During the experiments, the high elastic recovery properties of the target material were observed. The projectile remained undeformed during the perforation process of the hyperelastic material.
The dependence between the target thickness and the residual velocity of projectile is shown in Fig. 23. It is difficult to distinguish whether the trend is more linear or exponential especially due to the results obtained for the 80- mm and 140- mm-thick target. The projectile was stopped by the 220- mm-thick target and in that case the depth of penetrations was equal DP \(=\)200 mm. Beside the indication of the target energy absorption and dissipation properties, these data were used for validation of the numerical equivalent of the hyperelastic material. The dependence was used also for determination of the material strain-rate hardening properties, because results from SHPB experiments were unreliable.
6 Ballistic impact simulations
Simulations reproducing ballistic impact experiments were carried as a final validation of the hyperelastic target material model. A three-dimensional (3D) (with two symmetry planes) numerical model of the analyzed phenomenon of 7.62\(\times \) 25 mm FMJ projectile impact into hyperelastic rubber target was modeled (Fig. 24). The target layers were fixed around the perimeter. The elements size in the projectile impact zone was 0.25 mm (Fig. 24b).
In the simulations, the thickness of the target was a variable parameter. It was changed from 10 to 220 mm similar like in experiments. In consequence, the number of finite elements used for modeling of the components also varied and equaled from 111,224 to 1,446,824 for the targets with the thickness of 10 mm and 220 mm, respectively. Contacts between the simulation components described in the Lagrange formulation were realized using the *CONTACT_ERODING_SINGLE_SURFACE algorithm. The friction between components was included in the calculations. In the LS-Dyna®software, it is defined with the following equation [61, 62]:
where FS, FD—static and kinematic friction coefficient, respectively, \(\nu _\textrm{rel}\)—relative velocity between two surfaces in contact, DC—decay constant.
The values of the friction coefficients were adopted on the basis of the literature data [68,69,70,71] and for the steel-rubber pair equaled: \(\text {FS} = 0.7\), \(\text {FD} = 0.25\) and DC was adopted as 0.00001 what gives the relation between friction coefficient and relative velocity presented in Fig. 25.
The results of simulation of projectile penetration into the hyperelastic target were presented in the form of deformations of the components at different time of the penetration process in Figs. 26, 27, 28 and 29.
The example of the shape penetration crater in the stack of rubber plates with a total thickness of 180 mm at different time is shown in Fig. 26. The initially defined values of parameters in the constitutive equations of the hyperelastic target (Sect. 4.1) were tuned in order to obtain the shape of the numerical curve of projectile residual velocity in function of target thickness as close as those observed in experiments (Fig. 23).
Although some differences between the experimental and numerical curves can be noticed, the general trend provides satisfying agreement (Fig. 27).
The largest difference between simulation and experiments was noticed for the 140- mm-thick target and equaled \(\varDelta = 15\%\). Moreover, the determined parameters of the hyperelastic target material provide satisfying reproduction of the characteristic elastic recovery of the material (Fig. 28). The diameter of the final penetration crater in the perforated targets (\(\Phi = 2.3\) mm) was significantly smaller than the diameter of maximum temporal cavity as well as the diameter of the projectile (7.62\(\times \) 25 mm). This effect is shown in Fig. 29. As can be seen from the analysis of points A and B for these points, the radius of the temporary cavity is between 4.5 and 5 mm, which correlates with the data presented in Fig. 28.
The model sensitivity to adopted methods of target discretization (mesh density), target failure criteria and values of friction coefficients was analyzed. Therefore, simulations for the 180 mm thick target in which various mesh sizes, friction coefficients as well as values of limiting principal strains (erosion) in the target material model were carried out (Fig. 30).
The model is relatively sensitive to the changes of the values of failure criterion parameter—maximum principal strain (MXEPS) in the range of 1.0-\(-\)1.75. The initial value of a failure criterion based on maximum principal strain MXEPS \(= 1.5\) was adopted on the basis of experimental tension tests in which the sample was damaged at the engineering strain equal 150%. Increasing the MXEPS for the hyperelastic target material by 17% from the value of MXEPS \(= 1.5\) to MXEPS \(= 1.75\) caused premature termination of calculation by highly distorted elements and negative volume error. When the MXEPS was reduced by 33% from the value of MXEPS \(= 1.5\) to MXEPS \(= 1.0\), the residual velocity of projectile increased from the value of 46 m/s to the value of 158 m/s. Since the percent of eroded elements in all variants of calculation was similar, the growth of the residual velocity of projectile together with the decrease of the MXEPS value was a consequence of the fact that target elements eroded earlier instead of erosion of greater number of elements.
The mesh size in the analyzed range (sizes of the mesh of elements located in the area of direct impact of projectile \(\varDelta x = \varDelta y =\varDelta z = 0.5\) mm and \(\varDelta x = \varDelta y = \varDelta z = 0.25\) mm) does not significantly affect the results (Fig. 31b). Additionally, time required to finish the computation increased from 3 to 21 h what makes mesh refinement pointless.
Determined numerical model exhibits also a relatively high sensitivity to the values of adopted friction parameters. In the analyzed variants, the coefficients of static and dynamic friction coefficients were constant and equaled FS \(= 0.7\) and FD \(= 0.25\), respectively. However, the value of the decay constant (DC) defining the way of transition from the static to dynamic friction (dependence between the friction coefficient and the relative velocity of contacting surfaces) was changed (Fig. 32a). As it can be seen in Fig. 32b, when the DC was changed by 100% from the initial value of DC \(= 0.00001\) to DC \(= 0.00002\), the residual velocity of projectile after perforation of target increased from \(v_\textrm{r} = 45\) m/s to \(v_\textrm{r} = 150\) m/s. On the other hand, when the DC was decreased to value of DC \(= 0.000005\), the higher values of friction coefficients were obtained at the earlier stages of perforation, projectile deceleration was more intensive and in consequence the projectile was stopped in the target. It was confirmed on the graph presenting frictional energy in time for the penetration process. The curve for the DC \(= 0.000005\) increases the most intensively, up to the point when the projectile is stopped in the target (Fig. 32c).
7 Conclusions
Conclusions that can be drawn on the basis of performed experimental and numerical analyses are as follows:
-
1.
Mechanical properties of the hyperelastic material were determined in a wide range of strain rates and temperatures.
-
2.
The analyzed hyperelastic material showed very high temperature sensitivity. Its mechanical properties start to decrease as the temperature exceed 40\(^{\circ }\hbox {C}\).
-
3.
An accurate and verified constitutive model of novel hyperelastic material was defined on the basis of experimental mechanical and ballistic tests.
-
4.
The model will facilitate designing processes of various types of protective structures used in different ballistic applications including layers of composite armors, projectile catching systems and anti-ricochet layers covering walls of shooting ranges, ballistic tunnels, etc.
-
5.
Defined material model of hyper-elastic target was validated against experimental data. Satisfying agreement was obtained. The general trends of the plots of projectile residual velocities in function of target thickness was similar; however, for the 140- mm-thick target the maximum difference was noticed that equaled about 15%. The use of the tested hyperelastic target material to slow down more energetic projectiles, e.g., \(7.62\times 51\) mm, may be promising; however, it requires confirmation by experiment.
-
6.
The determined parameters of the hyperelastic target material provide satisfying reproduction of the characteristic elastic recovery of the material. The diameter of the final penetration crater in the perforated targets (\(\Phi =\) 2.3 mm) was significantly smaller than the diameter of maximum temporal cavity as well as the diameter of the projectile (7.62\(\times \) 25 mm).
-
7.
Maximum principal strain MXEPS \(= 1.5\) was adopted as a target failure criterion on the basis of experimental tension tests in which the sample was damaged at the engineering strain equal 150%. However, when the MXEPS was reduced by 33% from the value of MXEPS \(=\) 1.5 to MXEPS \(=\) 1.0, the residual velocity of projectile increased from the value of 46 m/s to the value of 158 m/s.
-
8.
When the decay constant in the friction definition was changed by 100% from the initial value of DC \(=\) 0.00001 to DC \(=\) 0.00002, the residual velocity of projectile after perforation of target increased from \(v_\textrm{r} =\) 45 m/s to \(v_\textrm{r} = 150\) m/s. On the other hand, when the DC was decreased to value of DC \(=\) 0.000005, the higher values of friction coefficients were obtained at the earlier stages of perforation, projectile deceleration was more intensive and in consequence the projectile was stopped in the target.
-
9.
Determined parameters of numerical model are valid only for the analyzed case (mesh size, friction, failure criteria), and special attention must be paid when some changes are incorporated. Future works will be focused on decreasing the model sensitivity to the analyzed parameters, as well as on limiting the number of parameters that were adjusted in order to obtain the desired results by performing of appropriate experiments.
References
Pouriayevali, H., Guo, Y.B., Shim, V.P.W.: A visco-hyperelastic constitutive description of elastomer behaviour at high strain rates. Procedia Eng. 10, 2274–2279 (2011). https://doi.org/10.1016/j.proeng.2011.04.376
Yang, H., Yao, X., Zheng, Z., Gong, L., Yuan, L., Yuan, Y., Liu, Y.: Highly sensitive and stretchable graphene-silicone rubber composites for strain sensing. Compos. Sci. Technol. 167, 371–378 (2018). https://doi.org/10.1016/j.compscitech.2018.08.022
Tubaldi, E., Mitoulis, S.A., Ahmadi, H.: Comparison of different models for high damping rubber bearings in seismically isolated bridges. Soil Dyn. Earthq. Eng. 104, 329–345 (2018). https://doi.org/10.1016/j.soildyn.2017.09.017
Yang, H., Yao, X.-F., Wang, S., Ke, Y.-C., Huang, S.-H., Liu, Y.-H.: Analysis and inversion of contact stress for the finite thickness Neo-Hookean layer. J. Appl. Mech. (2018). https://doi.org/10.1115/1.4040598
Appleby-Thomas, G.J., Wood, D.C., Hameed, A., Painter, J., Le-Seelleur, V., Fitzmaurice, B.C.: Investigation of the high-strain rate (shock and ballistic) response of the elastomeric tissue simulant Perma-Gel®. Int. J. Impact Eng. 94, 74–82 (2016). https://doi.org/10.1016/j.ijimpeng.2016.04.003
Stopforth, R., Adali, S.: Experimental study of bullet-proofing capabilities of Kevlar, of different weights and number of layers, with 9 mm projectiles. Def. Technol. 15, 186–192 (2019). https://doi.org/10.1016/j.dt.2018.08.006
Bocian, M., Jamroziak, K., Kulisiewicz, M., Pach, J,, Pyka, D.: Numerical study of dynamic properties of a selected material layer of bulletproof shields. EASD Procedia pp. 265–272 (2020). https://doi.org/10.47964/1120.9021.19238
Burian, W., et al.: Finite element modeling of ballistic inserts containing aramid fabrics under projectile impact conditions: comparison of methods. Compos. Struct. 294, 115752 (2022). https://doi.org/10.1016/j.compstruct.2022.115752
Zochowski, P., Bajkowski, M., Grygoruk, R., et al.: Comparison of numerical simulation techniques of ballistic ceramics under projectile impact conditions. Materials 15(1), 18 (2022). https://doi.org/10.3390/ma15010018
Wisniewski, A., et al.: Anti-trauma pads based on non-Newtonian materials for flexible bulletproof inserts. In: Proceedings—29th International Symposium on Ballistics, BALLISTICS 2016, vol. 2, pp. 2034–2045 (2016). ISBN: 978-160595317-5
Leonowicz, M., et al.: Optimization of the material systems with magnetorheological fluids. In: Proceedings—28th International Symposium on Ballistics, BALLISTICS 2014, vol. 2, pp. 1602–1612 (2014). ISBN 978-160595149-2
Wisniewski, A., et al.: Optimization of the material systems with shear-thickening fluids. In: Proceedings—28th International Symposium on Ballistics, BALLISTICS 2014, vol. 2, pp. 1613–1622 (2014). ISBN 978-160595149-2
dell’Isola, F., Seppecher, P., Alibert, J.J., Lekszycki, T., Grygoruk, R., Pawlikowski, M., Steigmann, D., et al.: Pantographic metamaterials: an example of mathematically driven design and of its technological challenges. Contin. Mech. Thermodyn. 31(4), 851–884 (2019)
dell’Isola, F., Seppecher, P., Spagnuolo, M., Barchiesi, E., Hild, F., Lekszycki, T., Giorgio, I., et al.: Advances in pantographic structures: design, manufacturing, models, experiments and image analyses. Contin. Mech. Thermodyn. 31(4), 1231–1282 (2019)
Stilz, M., dell’Isola, F., Giorgio, I., Eremeyev, V.A., Ganzenmüller, G., Hiermaier, S.: Continuum models for pantographic blocks with second gradient energies which are incomplete. Mech. Res. Commun. 125, 103988 (2022)
Alibert, J.J., Seppecher, P., dell’Isola, F.: Truss modular beams with deformation energy depending on higher displacement gradients. Math. Mech. Solids 8(1), 51–73 (2003)
Yildizdag, M.E., Ciallella, A., D’Ovidio, G.: Investigating wave transmission and reflection phenomena in pantographic lattices using a second-gradient continuum model. Math. Mech. Solids (2022). https://doi.org/10.1177/10812865221136250
Karl, J., Kirsch, F., Faderl, N., Perko, L., Fras, T.: Optimizing viscoelastic properties of rubber compounds for ballistic applications. Appl. Sci. (2020). https://doi.org/10.3390/app10217840
Roland, C.M., Fragiadakis, D., Gamache, R.M.: Elastomer-steel laminate armor. Compos. Struct. 92, 1059–1064 (2010). https://doi.org/10.1016/j.compstruct.2009.09.057
Sakamoto, M.: Experimental validation of the butyl-rubber finite element (FE) material model for the blast-mitigating floor mat (2015)
Baranowski, P., Małachowski, J., Mazurkiewicz, Ł: Local blast wave interaction with tire structure. Def. Technol. 16, 520–529 (2020). https://doi.org/10.1016/j.dt.2019.07.021
Williams, A.G., Dhingra, J.: IHSTM Jane’s® Weapons: Ammunition. IHS JANES, London (2016)
Motyl, K., Zygmunt, B., Magier, M., Borkowski, J.: Theoretical and experimental research of anti-tank kinetic penetrator ballistics. Bull. Pol. Acad. Sci. Tech. Sci. 65, 399–404 (2017). https://doi.org/10.1515/bpasts-2017-0045
Magier, M.: The conception of the segmented kinetic energy penetrators for tank guns. J. Appl. Mech. (2010). https://doi.org/10.1115/1.4001714
Żochowski, P., Warchoł, R., Miszczak, M., Nita, M., Pankowski, Z., Bajkowski, M.: Experimental and numerical study on the PG-7VM warhead performance against high-hardness armor steel. Materials (2021). https://doi.org/10.3390/ma14113020
Pyka, D., Kurzawa, A., Bocian, M., Bajkowski, M., Magier, M., Sliwinski, J., Jamroziak, K.: Numerical and experimental studies of the Łk type shaped charge. Appl. Sci. (Switz.) 10, 1–20 (2020). https://doi.org/10.3390/app10196742
Carleone, J.: Tactical Missile Warheads. American Institute of Aeronautics and Astronautics Inc., Reston (1993)
Held, M.: Fundamentals of shaped charges. Walters, William P., Zukas, Jonas A.: John Wiley & Sons, New York 1989, 398 pp., 84 Figs., Price: \$85, ISBN 0-471-62172-2. Propellants Explos. Pyrotech. 14, 220 (1989). https://doi.org/10.1002/prep.19890140510
Fras, T.: Experimental and numerical study on a non-explosive reactive armour with the rubber interlayer applied against kinetic-energy penetrators-the ‘bulging effect’ analysis. Materials (2021). https://doi.org/10.3390/ma14123334
Shepherd, C.J., Appleby-Thomas, G.J., Hazell, P.J., Allsop, D.F.: The dynamic behaviour of ballistic gelatin. AIP Conf. Proc. 1195, 1399–1402 (2009). https://doi.org/10.1063/1.3295071
Appleby-Thomas, G.J., Hazell, P.J., Wilgeroth, J.M., Shepherd, C.J., Wood, D.C., Roberts, A.: On the dynamic behavior of three readily available soft tissue simulants. J. Appl. Phys. 109, 84701 (2011). https://doi.org/10.1063/1.3573632
Shepherd, C.J., Appleby-Thomas, G.J., Wilgeroth, J.M., Hazell, P.J., Allsop, D.F.: On the response of ballistic soap to one-dimensional shock loading. Int. J. Impact Eng. 38, 981–988 (2011). https://doi.org/10.1016/j.ijimpeng.2011.07.003
Ndompetelo, N., Viot, P., Dyckmans, G., Chabotier, A.: Numerical and experimental study of the impact of small caliber projectiles on ballistic soap. J. Phys. IV 134, 385–390 (2006). https://doi.org/10.1051/jp4:2006134059
Swain, M.V., Kieser, D.C., Shah, S., Kieser, J.A.: Projectile penetration into ballistic gelatin. J. Mech. Behav. Biomed. Mater. 29, 385–392 (2014). https://doi.org/10.1016/j.jmbbm.2013.09.024
Bresson, F., Ducouret, J., Peyré, J., Maréchal, C., Delille, R., Colard, T., Demondion, X.: Experimental study of the expansion dynamic of 9mm Parabellum hollow point projectiles in ballistic gelatin. Forensic Sci. Int. 219, 113–118 (2012). https://doi.org/10.1016/j.forsciint.2011.12.007
Luo, S., Xu, C., Chen, A., Zhang, X.: Experimental investigation of the response of gelatine behind the soft body armor. Forensic Sci. Int. 266, 8–13 (2016). https://doi.org/10.1016/j.forsciint.2016.04.019
Liu, L., Fan, Y., Li, W.: Viscoelastic shock wave in ballistic gelatin behind soft body armor. J. Mech. Behav. Biomed. Mater. 34, 199–207 (2014). https://doi.org/10.1016/j.jmbbm.2014.02.011
Giorgio, I., Spagnuolo, M., Andreaus, U., Scerrato, D., Bersani, A.M.: In-depth gaze at the astonishing mechanical behavior of bone: a review for designing bio-inspired hierarchical metamaterials. Math. Mech. Solids 26(7), 1074–1103 (2021)
Giorgio, I., De Angelo, M., Turco, E., Misra, A.: A Biot–Cosserat two-dimensional elastic nonlinear model for a micromorphic medium. Contin. Mech. Thermodyn. 32(5), 1357–1369 (2020)
Cronin, D.S., Falzon, C.: Characterization of 10% ballistic gelatin to evaluate temperature, aging and strain rate effects. Exp. Mech. 51, 1197–1206 (2011). https://doi.org/10.1007/s11340-010-9438-z
Fackler, M.L., Malinowski, J.A.: Ordnance gelatin for ballistic studies: detrimental effect of excess heat used in gelatin preparation. Am J Forensic Med Pathol 9(3), 218–219 (1988)
Mrozek, R.A., Leighliter, B., Gold, C.S., Beringer, I.R., Yu, J.H., VanLandingham, M.R., Moy, P., Foster, M.H., Lenhart, J.L.: The relationship between mechanical properties and ballistic penetration depth in a viscoelastic gel. J. Mech. Behav. Biomed. Mater. 44, 109–120 (2015). https://doi.org/10.1016/j.jmbbm.2015.01.001
Mauzac, O., Paquier, C., Debord, E., Barbillon, F., Mabire, P., Jacquet, J.: A substitute of gelatin for the measurement of dynamic back face deformation. In Personal armour systems symposium (Quebec: IPAC), Canada, pp. 1–10 (2010)
Mabbott, A., Carr, D.J., Champion, S., Malbon, C., Tichler, C.: Comparison of 10 % gelatine, 20 % gelatine and Perma-Gel for ballistic testing (2013)
Kalcioglu, Z.I., Qu, M., Strawhecker, K.E., Shazly, T., Edelman, E., VanLandingham, M.R., Smith, J.F., Van Vliet, K.J.: Dynamic impact indentation of hydrated biological tissues and tissue surrogate gels. Philos. Mag. 91, 1339–1355 (2011). https://doi.org/10.1080/14786435.2010.512574
Bracq, A., Haugou, G., Delille, R., Lauro, F., Roth, S., Mauzac, O.: Experimental study of the strain rate dependence of a synthetic gel for ballistic blunt trauma assessment. J. Mech. Behav. Biomed. Mater. 72, 138–147 (2017). https://doi.org/10.1016/j.jmbbm.2017.04.027
Giorgio, I.: A variational formulation for one-dimensional linear thermo-viscoelasticity. Math. Mech. Complex Syst. 9(4), 397–412 (2021). https://doi.org/10.2140/memocs.2021.9.397
Andreaus, U., Chiaia, B., Placidi, L.: Soft-impact dynamics of deformable bodies. Contin. Mech. Thermodyn. 25(2), 375–398 (2013)
Placidi, L., Barchiesi, E., Misra, A.: A strain gradient variational approach to damage: a comparison with damage gradient models and numerical results. Math. Mech. Complex Syst. 6(2), 77–100 (2018)
Placidi, L., Misra, A., Barchiesi, E.: Two-dimensional strain gradient damage modeling: a variational approach. Z. Angew. Math. Phys. 69(3), 1–19 (2018)
Placidi, L., Barchiesi, E.: Energy approach to brittle fracture in strain-gradient modelling. Proc. R. Soc. A Math. Phys. Eng. Sci. 474(2210), 20170878 (2018)
Abali, B.E., Klunker, A., Barchiesi, E., Placidi, L.: A novel phase-field approach to brittle damage mechanics of gradient metamaterials combining action formalism and history variable. ZAMM J. Appl. Math. Mech. 101(9), e202000289 (2021)
Ciallella, A., Scerrato, D., Spagnuolo, M., Giorgio, I.: A continuum model based on Rayleigh dissipation functions to describe a Coulomb-type constitutive law for internal friction in woven fabrics. Z. Angew. Math. Phys. 73(5), 1–17 (2022)
Abali, B.E., Vazic, B., Newell, P.: Influence of microstructure on size effect for metamaterials applied in composite structures. Mech. Res. Commun. 122, 103877 (2022)
Barchiesi, E., Spagnuolo, M., Placidi, L.: Mechanical metamaterials: a state of the art. Math. Mech. Solids 24(1), 212–234 (2019)
Bracq, A., Haugou, G., Bourel, B., Maréchal, C., Lauro, F., Roth, S., Mauzac, O.: On the modeling of a visco-hyperelastic polymer gel under blunt ballistic impacts. Int. J. Impact Eng. 118, 78–90 (2018). https://doi.org/10.1016/j.ijimpeng.2018.04.001
Fontenier, B., Hault-Dubrulle, A., Drazetic, P., Fontaine, C., Naceur, H.: On the mechanical characterization and modeling of polymer gel brain substitute under dynamic rotational loading. J. Mech. Behav. Biomed. Mater. 63, 44–55 (2016). https://doi.org/10.1016/j.jmbbm.2016.06.008
Azar, F.S., Metaxas, D.N., Miller, R.T., Schall, M.D.: Methods for predicting mechanical deformations in the breast during clinical breast biopsy. In: Proceedings of the IEEE 26th Annual Northeast Bioengineering Conference (Cat. No. 00CH37114), pp. 63–64 (2000). https://doi.org/10.1109/NEBC.2000.842380
Cronin, D.S.: Ballistic gelatin characterization and constitutive modeling BT: dynamic behavior of materials. In: Proulx, T. (ed.), vol. 1, pp. 51–55. Springer, New York (2011)
Kneubuehl, B.P.: Ballistic Protection. Swiss Defense Procurement Agency, Thun (2003)
Livermore Software Technology Corporation (LSTC): LS-DYNA R12 Kewword User’s Manual, vol. I (2020)
Manual, K.U.S., Ii, V.: Keyword User ’ S Manual, vol. Ii (2012)
Panowicz, R., Janiszewski, J.: Tensile split Hopkinson bar technique: numerical analysis of the problem of wave disturbance and specimen geometry selection. Metrol. Meas. Syst. 23, 425–436 (2016). https://doi.org/10.1515/mms-2016-0027
Baranowski, P., Malachowski, J., Gieleta, R., Damaziak, K., Mazurkiewicz, L., Kołodziejczyk, D.: Numerical study for determination of pulse shaping design variables in SHPB apparatus. Bull. Pol. Acad. Sci. Tech. Sci. 61, 459–466 (2013). https://doi.org/10.2478/bpasts-2013-0045
Baranowski, P., Gieleta, R., Malachowski, J., Damaziak, K., Mazurkiewicz, L.: Split Hopkinson pressure bar impulse experimental measurement with numerical validation. Metrol. Meas. Syst. (2014). https://doi.org/10.2478/mms-2014-0005
Carbajal, L., Jovicic, J., Kuhlmann, H.: Assault riffle bullet-experimental characterization and computer (FE) modeling BT: experimental and applied mechanics. In: Proulx, T. (ed.), vol. 6, pp. 651–668. Springer, New York(2011)
Zochowski, P., Bajkowski, M., Grygoruk, R., Magier, M., Burian, W., Pyka, D., Bocian, M., Jamroziak, K.: Ballistic impact resistance of bulletproof vest inserts containing printed titanium structures. Metals (2021). https://doi.org/10.3390/met11020225
https://www.teachengineering.org/content/nyu_/activities/nyu_heavy/nyu_heavy_activity1_coftable.pdf. Coefficient of friction. Accessed 8 Jan 2021
https://www.tribology-abc.com/abc/cof.html. Coefficient of friction. Accessed 8 Jan 2021
Ciornei, F.C., Alaci, S., Ciogole, V.I., Ciornei, M.C.: Valuation of coefficient of rolling friction by the inclined plane method. IOP Conf. Ser. Mater. Sci. Eng. 200, 12006 (2017). https://doi.org/10.1088/1757-899x/200/1/012006
Saenmuangchin, R., Techarang, T., Mekprayoon, S., Zulfah, N.L., Siripinyanond, A. Chapter 7: field-flow fractionation. In: D.B.T.-S.I.S. in I., Beauchemin, I., (eds.), Elsevier, Amsterdam, pp. 357–380 (2020). https://doi.org/10.1016/B978-0-444-59482-2.00007-5
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This work was supported by the National Centre for Research and Development of Poland, Grant No. DOB-BIO10/04/02/2019.
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PZ contributed to conceptualization, methodology, investigation, software, and writing—original draft preparation. MC contributed to visualization, writing—reviewing and editing, and funding acquisition. KS contributed to investigation, data curation, and formal analysis. JM contributed to investigation, data curation, and formal analysis. MB contributed to methodology, formal analysis, resources, and data curation. EB contributed to writing—reviewing and editing. RG contributed to formal analysis, and writing—reviewing and editing. MM contributed to validation, resources, methodology, data curation, visualization, and project administration. DP contributed to software, writing—Original draft preparation, and investigation. MB contributed to software, visualization, and data curation. KJ contributed to writing—original draft preparation, investigation, visualization, and supervision. RG contributed to investigation, data curation, and formal analysis. PP contributed to investigation, data curation, and formal analysis.
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Zochowski, P., Cegła, M., Szczurowski, K. et al. Experimental and numerical study on failure mechanisms of the 7.62\(\times \) 25 mm FMJ projectile and hyperelastic target material during ballistic impact. Continuum Mech. Thermodyn. 35, 1745–1767 (2023). https://doi.org/10.1007/s00161-023-01210-2
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DOI: https://doi.org/10.1007/s00161-023-01210-2