Crashworthiness optimization of combined straight-tapered tubes using genetic algorithm and neural networks

Pirmohammad, Sadjad; Marzdashti, Sobhan Esmaeili

doi:10.1016/j.tws.2018.01.022

Cited by 59 publications

(24 citation statements)

References 45 publications

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“…In order to determine the best performing energy absorbing structure among those presented in Similarity to Ideal Solution (TOPSIS) was employed with SEA and PCF responses as design criteria [43]- [45]. The step by step application of this technique is provided elsewhere [45], [46].…”

Section: Further Discussion and Evaluation Of Energy Absorption Charamentioning

confidence: 99%

Theoretical and numerical crush analysis of multi-stage nested aluminium alloy tubular structures under axial impact loading

Tran

Baroutaji

2019

Engineering Structures

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Section: Further Discussion and Evaluation Of Energy Absorption Charamentioning

confidence: 99%

Theoretical and numerical crush analysis of multi-stage nested aluminium alloy tubular structures under axial impact loading

Tran

Baroutaji

2019

Engineering Structures

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“…Based on the TOPSIS method, an alternative is selected by considering the minimum distance from the positive ideal solution and the maximum distance from the negative ideal solution. As detailed in, 14,59 TOPSIS starts with the provision of decision matrix X consisting of m criteria and n alternatives, as follows:…”

Section: Multi-criteria Decision-making Methodsmentioning

confidence: 99%

“…), 6,7 multi-cell configurations 8–11 and longitudinal geometries (i.e. conical, s-shaped structures, corrugated structures and tubes with functionally graded thickness) 12–23 have been investigated in the past years to improve their crushing capacity.…”

Section: Introductionmentioning

confidence: 99%

Crashworthiness performance of concentric structures with different cross-sectional shapes under multiple loading conditions

Pirmohammad

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper evaluates the crashworthiness performance of concentric structures with different numbers of tubes (i.e. one to five) and cross-sectional shapes (i.e. hexagon, octagon, decagon and circle) under the multiple loadings of θ = 0, 10, 20 and 30°. An experimentally validated finite element model generated in LS-DYNA is employed to calculate the crashworthiness parameters including the specific energy absorption, maximum crush force and crush force efficiency. A total of 20 concentric structures are analyzed to explore the effects of number of tubes and cross-sectional shapes on the crushing performance. A multi-criteria decision-making method known as TOPSIS is also used to compare and rank the concentric structures in terms of crushing performance. Based on the results, the hexagonal structure including two tubes and octagonal, decagonal and circular structures including three tubes demonstrate the best results among their corresponding cross-sectional shapes. These structures show 9, 39, 38 and 39% higher specific energy absorption compared to their corresponding single tubal cases, respectively. However, in comparison to single tubal cases, they generate 4, 57, 57 and 58% higher maximum crush force, respectively. As such, the values for the improvement of the crush force efficiency are 3, 26, 25 and 21%, respectively. Furthermore, the decagonal structure including three tubes provides the highest energy absorbing characteristics as compared with all the other structures studied in this research. Meanwhile, taking into account all the multiple loading conditions, this structure shows 50% higher specific energy absorption than the hexagonal structure including single tube (as the weakest structure).

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“…Neural networks are often used for analysis due to the large amounts of data and the multitude of relationships between them [5]. Multilayer perceptron (MLP) networks are particularly helpful in the study on this type of issues [12,20].…”

Section: Introductionmentioning

confidence: 99%

Neural Networks in Crashworthiness Analysis of Thin-Walled Profile with Foam Filling

Rogala¹

2020

Adv. Sci. Technol. Res. J.

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This article presents the numerical tests of thin-walled compressed columns with a square cross-section. The crush efficiency indicators were determined using the finite element method (Abaqus) and neural networks of MLP. The models had a constant circular trigger, with a diameter of 32 mm. During dynamic analysis, the samples were loaded with 1700 J. The numerical models were filled with aluminum foam from 40 mm to 180 mm every 20 mm. The study presents the conclusions for the thin-walled models with crushable foam.

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Crashworthiness optimization of combined straight-tapered tubes using genetic algorithm and neural networks

Cited by 59 publications

References 45 publications

Theoretical and numerical crush analysis of multi-stage nested aluminium alloy tubular structures under axial impact loading

Theoretical and numerical crush analysis of multi-stage nested aluminium alloy tubular structures under axial impact loading

Crashworthiness performance of concentric structures with different cross-sectional shapes under multiple loading conditions

Neural Networks in Crashworthiness Analysis of Thin-Walled Profile with Foam Filling

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