Analytical, experimental and numerical study of a graded honeycomb structure under in-plane impact load with low velocity

Galehdari, S.A.; Kadkhodayan, Mehran; Hadidi-Moud, Saeid

doi:10.1080/13588265.2015.1018739

Cited by 34 publications

(10 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many researchers start to look at effect of material and thickness on helmet shock absorption [10][11][12][13][14][15]. However, the others are looking at changing the structure to find the effect of shock absorption by different structures by [7,8,[16][17][18][19][20]. Fashid looked at the honeycomb structure and found that honeycomb structure would create less injuries from the front to the head of the user [7].…”

Section: Introductionmentioning

confidence: 99%

Design and Numerical Analysis of Corrugated Helmet Under Impact Test

Malapaka¹,

Yazdifar

Golsby

et al. 2021

BJSTR

View full text Add to dashboard Cite

In recent years new structures have been developed for sustainability as they are lighter, with less material usage while sustaining their mechanical properties to be utilised in the application. One of these structures is a corrugated structure mainly used in the packaging industry but recently has been recognised by many other applications as the structure is known for its capabilities against shock absorption. In this study, BS6655 was used to evaluate corrugated structure in a helmet while an impact occurs to its front. The dynamic responses of the corrugated helmet were compared with a solid helmet. The results showed that the corrugated helmet has a higher ability to absorb the shock and protect the head from injuries in such impact.

show abstract

Section: Introductionmentioning

confidence: 99%

Design and Numerical Analysis of Corrugated Helmet Under Impact Test

Malapaka¹,

Yazdifar

Golsby

et al. 2021

BJSTR

View full text Add to dashboard Cite

show abstract

“…5 It is generally analyzed using experimental tests and numerical simulations based on finite element analyses. 6,7 The experiment test is the most reliable and effective method to study the passive safety of rail vehicles, and second, through simulation. Especially, in the past 10 years, simulation analysis software has been widely used in the rail vehicle industry as a design and analysis tool.…”

Section: Introductionmentioning

confidence: 99%

Inversion prediction of back propagation neural network in collision analysis of anti-climbing device

Zhu

Zhao

et al. 2020

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Targeting to improve the calculation efficiency of the finite element simulation, we introduce the back propagation neural network–based machine learning method to carry out the inversion prediction framework. The inversion collision model is established based on the inversion prediction framework. Then, the prediction results are compared with the finite element simulation results of the anti-climbing device to verify the feasibility of the inversion collision model. The average prediction errors of velocity, displacement, interface force, and internal energy of the anti-climbing device are 3.7%, 4.31%, 3.4%, and 1%, respectively, and the cost time of the inversion collision model is less than 5 min. The results show that the inversion collision model constructed by back propagation neural network can significantly improve the calculation efficiency and greatly reduce the calculation time under the condition of ensuring accuracy. It will provide a new evaluation method and possibility for partially replacing the required experimental and simulation results for the crashworthiness and the safety of the anti-climbing device.

show abstract

“…For instance, Goldsmith and Louie [4] studied on aluminum honeycombs axial perforation with highlighting spherical strikers which causes more in-plane damage under both quasi-static and ballistic conditions. Galehdari et al [5] studied the graded honeycomb structure (GHS) behavior under in-plane impact loading with low velocity and its optimization via analytical, experimental, and numerical methods. They compared the time period of reaction force of two graded honeycomb structures with equal thickness and also investigated the effect of power hardening model for the graded honeycomb structure (GHS) material on the plateau stress.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of quasistatic penetration tests on honeycomb sandwich panels filled with polymer foam

Roudbeneh

Liaghat

Sabouri

et al. 2018

Mechanics of Advanced Materials and Structures

View full text Add to dashboard Cite

In this paper, the quasi-static penetration tests were investigated on unfilled and polyurethane foam filled honeycomb sandwich panels. Failure mechanisms, specific energy absorption, interaction mechanisms and some structural responses were studied. Comparing the three types of the foam filled sandwich panels with unfilled type, indicates that the absorbed energy of the first, second and third type of the panels are 23%, 33% and 58% more than unfilled ones, respectively. In addition, the results showed the enhancement in the dynamic strength and 2 remarkably decrease in the damage area of the sandwich structure when its honeycomb core was filled with polymer foam.

show abstract

Analytical, experimental and numerical study of a graded honeycomb structure under in-plane impact load with low velocity

Cited by 34 publications

References 16 publications

Design and Numerical Analysis of Corrugated Helmet Under Impact Test

Design and Numerical Analysis of Corrugated Helmet Under Impact Test

Inversion prediction of back propagation neural network in collision analysis of anti-climbing device

Experimental investigation of quasistatic penetration tests on honeycomb sandwich panels filled with polymer foam

Contact Info

Product

Resources

About