Virtual Testing of Laminated Composites Subjected to Low-Velocity Impact

Uyaner, Mesut; Kara, Memduh; Kepir, Yusuf; Günöz, Alper

doi:10.1007/s40997-022-00527-8

Cited by 8 publications

(11 citation statements)

References 45 publications

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“…18, a good agreement between experimental and numerical results was reported for aramid/epoxy specimens under 30 J impact energy, even if the difference was about 22%. It can also be seen that the difference ratios in Table 3 are at reasonable levels with respect to the error rates reported in some studies in the literature 15,17,18 …”

Section: Resultssupporting

confidence: 72%

“…In Ref. 15, an agreement of up to 90% was observed between the numerical analysis and the experimental results. In Ref.…”

Section: Resultsmentioning

confidence: 60%

“…This contact type was recommended contact type between thick‐laminated composite structures and impactor for crash simulations; because both side of a shell element was checked for avoiding penetration through this card 26 . Friction coefficient of μ was applied as 0.20 between the impactor and thick laminated composite structures according to dry contact state 15 …”

Section: Methodsmentioning

confidence: 99%

“…Other four sides of composite plates were fixed with using SPC known as single point constraint. In the literature, convergence of contact force values has been achieved with an element size of 2 mm 15,17 . In this study, an element size of 1.5 mm was used to obtain better results.…”

Section: Methodsmentioning

confidence: 99%

“…It provides acceptable results compared with experimental values. LS‐DYNA is one of the analysis software package which is widely used by engineers and researchers 15–21 . LS‐DYNA includes many material models as an example MAT022, MAT054, MAT055, MAT058, MAT059, MAT158, and MAT162, which can be selected by the user as damage criteria.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of low‐velocity impact behavior of thick laminated composite structure with experimental and modeling technique

Başoğlu,

Yakar,

Bora

et al. 2023

Polymer Composites

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In this study, the dynamic behavior under low‐veloctiy impact of E‐glass epoxy unidirectional thick laminated composite structure was investigated by numerical methods and compared with experimental results. Thereby, it was aimed to detect the impact behavior of the composite structures with numerical analysis program for reducing experimental tests on these composite structures. LS‐DYNA finite element method (FEM) software was used for numerical modeling. The material model MAT055, which is based on the Tsai–Wu matrix failure modeling on damage mechanics, was selected for the analyses in LS‐DYNA. Low‐velocity impact analyses have been carried out on composite structures at various impact energies as a range of 15–250 J as similar to experiments. From the analysis of the plots, it can be seen that the values of absorption energy provided by the FEM analyses are close to the experimental values at all impact energy levels. It can be determined that the mean difference between the absorption energy levels provided from the experimental and numerical studies is 1.81%. In the same studies, matrix cracking was observed at 50 J impact energy value and full penetration was observed at 250 J impact energy. The error rate between the values obtained using the derived impact energy prediction equation and the values obtained as a result of numerical analysis was maximum 5.26%. Thus, derived equation was found to be reasonable for use in predicting the absorption energy. As a result, these values indicate that the experimental results are agreed well with the numerical results.Highlights Dynamic behavior under impact of thick laminated composite was investigated. Impact analyses were performed at impact energies as a range of 15–250 J. At 250 J impact energy, the composite deformed with full penetration damage. Impact damage areas were calculated according to impact energy levels. It would be useful to use numerical analysis method in terms of cost and time.

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Section: Resultssupporting

confidence: 72%

“…In Ref. 15, an agreement of up to 90% was observed between the numerical analysis and the experimental results. In Ref.…”

Section: Resultsmentioning

confidence: 60%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%