2021
DOI: 10.1177/16878140211009415
|View full text |Cite
|
Sign up to set email alerts
|

A numerical study of the impact perforation of sandwich panels with graded hollow sphere cores

Abstract: In this study, we numerically investigate the impact perforation of sandwich panels made of 0.8 mm 2024-T3 aluminum alloy skin sheets and graded polymeric hollow sphere cores with four different gradient profiles. A suitable numerical model was conducted using the LS-DYNA code, calibrated with an inverse perforation test, instrumented with a Hopkinson bar, and validated using experimental data from the literature. Moreover, the effects of quasi-static loading, landing rates, and boundary conditions on the perf… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 33 publications
(41 reference statements)
0
1
0
Order By: Relevance
“…They offer a promising solution to overcome the drawbacks of traditional multi-layered cores while enhancing the overall performance of sandwich panels. Elnasri and Zhao [115] numerically investigated the impact perforation of sandwich structures with graded polymeric hollow sphere cores. The density gradient profiles were varied with different sequencing of the layer density, either from increasing or decreasing order.…”
Section: Performance Of Functionally Graded Materialsmentioning
confidence: 99%
“…They offer a promising solution to overcome the drawbacks of traditional multi-layered cores while enhancing the overall performance of sandwich panels. Elnasri and Zhao [115] numerically investigated the impact perforation of sandwich structures with graded polymeric hollow sphere cores. The density gradient profiles were varied with different sequencing of the layer density, either from increasing or decreasing order.…”
Section: Performance Of Functionally Graded Materialsmentioning
confidence: 99%