Crashworthiness design for functionally graded foam-filled thin-walled structures

Sun, Guangyong; Li, Guangyao; Hou, Shujuan; Zhou, Shiwei; Li, Wei; Li, Qing

doi:10.1016/j.msea.2009.11.022

Cited by 275 publications

(75 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Different mathematical programming was used to seek optimal solutions, such as genetic algorithms (GA) [37,33]. Sun et al [38,39] used Particle Swarm Optimization (PSO) to optimize, with a two stage multi fidelity method for honeycomb, and optimized the crashworthiness design of Functionally Grade Foam (FGF) structures using Multi Objective Particle Swarm Optimization (MOPSO).…”

Section: Introductionmentioning

confidence: 99%

Optimization of foam-filled double circular tubes under axial and oblique impact loading conditions

Djamaluddin

Abdullah

Ariffin

et al. 2015

Thin-Walled Structures

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Optimization of foam-filled double circular tubes under axial and oblique impact loading conditions

Djamaluddin

Abdullah

Ariffin

et al. 2015

Thin-Walled Structures

View full text Add to dashboard Cite

“…A similar work was published in 2009 by Hou et al [12]. Multi-tubular foam-filled structures were optimized by Bi et al [13] and a series of research articles were published from 2010 on the optimization of sections filled with graded foams [14], foam-filled conical tubes [15], bi-tubal structures [16], tapered square tubes [17] and single and bi-tubal polygonal geometries [18]. A recent state-of-the-art review of crashworthiness optimization can be found in [19].…”

mentioning

confidence: 85%

Static crushing of aluminium tubes filled with PET foam and a GFRP skeleton. Numerical modelling and multiobjective optimization

Costas

Morin

Langseth

et al. 2017

International Journal of Mechanical Sciences

View full text Add to dashboard Cite

This investigation focuses on the multiobjective optimization of a crash box subjected to static loading by using a validated numerical model and an analytical approach. The crash box is made with a unique combination of three materials: an aluminium tube filled with polyethylene terephthalate (PET) foam and a glass-fibre reinforced polymer (GFRP) skeleton. A finite element model was calibrated based on the results obtained in a material testing campaign using appropriate constitutive equations. A J2-plasticity model was used for the material behaviour of the aluminium alloy, and the PET foam was modelled using Deshpande and Fleck's model. Regarding the short-fibres GFRP, a Voce plasticity model was fitted to the experimental data. After a successful validation of the finite element model, the filled aluminium tube was subjected to a structural optimization to achieve the best crash performance. Three relevant design variables were selected: the thickness of the outer aluminium cylinder, the thickness of the GFRP and the density of the PET foam, the last being related to the crushing strength of the foam. Given the high computational cost of each finite element model, a multi-adaptive regression splines metamodel was fitted to a large-scale sampling. Optimum pairs were obtained for the absorbed energy, the specific energy absorption, the peak load and the mass of the com- the component over the design region selected for the optimization, and was also used for its optimization with satisfactory results.

show abstract

“…Hence, the foam-lled conical tubes are preferable compared to the empty or foam-lled straight circular tubes for use as energy absorbers. Suna et al [13] carried out a crashworthiness design for the functionally graded foam-lled thin-walled structure. Ghamarian et al [14] used quasi-static tests to investigate the crushing behavior of the empty and polyurethane foam-lled end-capped conical tubes.…”

Section: Introductionmentioning

confidence: 99%

Impact crushing behavior of foam-filled paraboloid shells using numerical and experimental methods

et al. 2017

View full text Add to dashboard Cite

Abstract. This paper deals with the dynamic response and energy absorption of foamlled aluminum parabolic tubes under axial impact loading. The numerical crush analysis of empty and foam-lled tubes is performed using non-linear nite element techniques. The e ects of geometrical (wall thickness) and material parameters (foam density and Young's relaxation modulus) on the impact response and energy absorption capacity of foam-lled tube are investigated using numerical models. The results show that the foam properties have signi cant e ect on the crushing behavior, force and impact acceleration magnitude, and energy absorption capacity. Furthermore, there is a critical foam density beyond which the structure loses its energy absorption performance. Experimental results acquired from a test setup are used for validating the Finite-Element Analysis (FEA). There is good agreement between numerical and experimental results.

show abstract

Crashworthiness design for functionally graded foam-filled thin-walled structures

Cited by 275 publications

References 48 publications

Optimization of foam-filled double circular tubes under axial and oblique impact loading conditions

Optimization of foam-filled double circular tubes under axial and oblique impact loading conditions

Static crushing of aluminium tubes filled with PET foam and a GFRP skeleton. Numerical modelling and multiobjective optimization

Impact crushing behavior of foam-filled paraboloid shells using numerical and experimental methods

Contact Info

Product

Resources

About