Designing and modeling new generation of advanced hybrid composite sandwich structure armors for ballistic threats in defense applications

Ruaa Al-Mezrakchi; Ahmed Al-Ramthan; Shah Alam; Ruaa Al-Mezrakchi; Ahmed Al-Ramthan; Shah Alam

doi:10.3934/matersci.2020.5.608

AIMS Materials Science

2020, Volume 7, Issue 5: 608-631. doi: 10.3934/matersci.2020.5.608

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Research article Topical Sections

Designing and modeling new generation of advanced hybrid composite sandwich structure armors for ballistic threats in defense applications

1.
Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA
2.
Department of Mechanical and Industrial Engineering, Texas A&M University, Kingsville, TX, USA
3.
Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA

Received: 28 June 2020 Accepted: 31 August 2020 Published: 16 September 2020

Composite sandwich structures under ballistic impact loading can be a key point in the design for defense applications. This paper presents new armor designs consist of two composite plates with honeycomb core subjected to ballistic impact via 0.3-caliber Armor-Piercing projectile APM2. The numerical modeling of composite materials poses high challenges in simulating their anisotropic behavior under impact loading. Optimizing the failure criteria and examining the influence of changing the materials on ballistic response and energy absorption are considered. An enhanced composite constitutive model for composite plates and Johnson–Cook constitutive model for metallic honeycomb core are employed to permit the simulation of dynamic plastic deformations with the failure mechanisms during impact loading in LS-DYNA. A three-dimensional simulation is employed as highly efficient through the back-analysis of laboratory tests. The results of the numerical simulations are found to be in good agreement with the experimental results. Numerical studies are performed to assess the effects of different composite materials and various aluminum alloys for honeycomb core with different impact velocities on the behavior of hybrid composite sandwich armor. The proposed armor design can introduce a significant influence on enhancing the new armors generations and achieving good sturdiness and lightweight armors for defense applications.

Keywords:

Citation: Ruaa Al-Mezrakchi, Ahmed Al-Ramthan, Shah Alam. Designing and modeling new generation of advanced hybrid composite sandwich structure armors for ballistic threats in defense applications[J]. AIMS Materials Science, 2020, 7(5): 608-631. doi: 10.3934/matersci.2020.5.608

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Abstract

References

[1]	Petras A (1999) Design of sandwich structures [Doctoral thesis]. Cambridge: University of Cambridge.
[2]	Tian YS, Lu TJ (2005) Optimal design of compression corrugated panels. Thin Wall Struct 43: 477-498.
[3]	Bitzer T (1997) Honeycomb Technology: Materials, Design, Manufacturing, Applications and Testing, London: Springer Science & Business Media.
[4]	Goldsmith W, Louie DL (1995) Axial perforation of aluminum honeycombs by projectiles. Int J Solid Struct 32: 1017-1046.
[5]	Goldsmith W, Wang GT, Li K, et al. (1997) Perforation of cellular sandwich plates. Int J Impact Eng 19: 361-379.
[6]	Nia AA, Razavi SB, Majzoobi G (2008) Ballistic limit determination of aluminum honeycombs-experimental study. Mater Sci Eng A-Struct 488: 273-280.
[7]	Abrate S (2005) Impact on Composite Structures, Cambridge University Press.
[8]	Abrate S (2011) Impact Engineering of Composite Structures, Springer Science & Business Media, 526.
[9]	Kaw AK (2005) Mechanics of Composite Materials, Boca Raton: CRC Press.
[10]	Naik N, Shrirao P (2004) Composite structures under ballistic impact. Compos Struct 66: 579-590.
[11]	García-Castillo SK, Sánchez-Sáez S, Barbero E (2012) Nondimensional analysis of ballistic impact on thin woven laminate plates. Int J Impact Eng 39: 8-15.
[12]	García-Castillo SK, Sánchez-Sáez S, Barbero E (2012) Influence of areal density on the energy absorbed by thin composite plates subjected to high-velocity impacts. J Strain Anal Eng 47: 444-452.
[13]	Lahuerta F, Westphal T, Nijssen RPL, et al. (2014) Measuring the delamination length in static and fatigue mode I tests using video image processing. Compos Part B-Eng 63: 1-7.
[14]	Jabbar A, Hasan Malik M, Hussain T, et al. (2014) Comparison of mechanical and ballistic performance of composite laminates produced from single‐layer and double‐layer interlocked woven structures. Polym Composite 35: 1583-1591.
[15]	Sultan MTH, Basri S, Rafie ASM, et al. (2012) High velocity impact damage analysis for glass epoxy-laminated plates. Adv Mater Res 399: 2318-2328.
[16]	Sultan MTH, Basri S, Rafie ASM, et al. (2014) Impact damage analysis for glass reinforced epoxy laminated plates using single stage gas gun. Appl Mech Mater 564: 382-387.
[17]	Livermore Software Technology Corporation (LSTC), LS-DYNA keyword user's manual, 2018. Avaliable from: https://www.lstc.com/download/manuals.
[18]	Deka LJ, Bartus SD, Vaidya UK (2008) Damage evolution and energy absorption of E-glass/polypropylene laminates subjected to ballistic impact. J Mater Sci 43: 4399-4410.
[19]	Hassanpour Roudbeneh F, Liaghat G, Sabouri H, et al. (2019) Experimental investigation of impact loading on honeycomb sandwich panels filled with foam. Int J Crashworthines 24: 199-210.
[20]	Hashin Z (1980) Failure criteria for unidirectional fiber composites. Int J Appl Mech 47: 329-334.
[21]	Johnson GR, Cook WH (1983) A constitutive model and data for materials subjected to large strains, high strain rates, and high temperatures. Proceedings of the 7th International Symposium on Ballistics 21: 541-547.
[22]	Ahmad F, Hong JW, Choi HS, et al. (2015) The effects of stacking sequence on the penetration-resistant behaviors of T800 carbon fiber composite plates under low-velocity impact loading. Carbon Lett 16: 107-115.
[23]	Starratt DL (1998) An instrumented experimental study of the ballistic response of textile materials [Doctoral dissertation]. Vancouver: University of British Columbia.
[24]	Van Hoof J (1999) Modelling of impact induced delamination in composite materials [Doctoral dissertation]. Ottawa: Carleton University.
[25]	Fang H, Palta E, Gutowski M (2018) Numerical simulation of high-speed impacts involving metallic and non-metallic materials, Materials Characterisation, In: Northood DO, Rang T, Dc Hosson J, et al., Boston: WIT Press.
[26]	Vo TP, Guan Z, Cantwell W, et al. (2013) Modelling of the low-impulse blast behaviour of fibre-metal laminates based on different aluminium alloys. Compos Part B-Eng 44: 141-151.
[27]	Bikakis GS, Dimou CD, Sideridis EP (2017) Ballistic impact response of fiber-metal laminates and monolithic metal plates consisting of different aluminum alloys. Aerosp Sci Technol 69: 201-208. doi: 10.1016/j.ast.2017.06.028

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