Multi-Objective Optimization Design of Corrugated Steel Sandwich Panel for Impact Resistance

Li, Ké; Liu, Kun; Guang-ming, WU; Wang, Zili; Wang, Peng

doi:10.3390/met11091378

Cited by 8 publications

(3 citation statements)

References 36 publications

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“…Among those networks are the Perceptron, Hebbian, Kohonen, and Hopfield [59]. Within ballistic applications, the multiple layer perceptron (MLP ) and the generalized feed forward (GFF) architecture are the most widely used due to their simplicity [59][60][61][62][63]. Review on the network type, learning algorithm, data sampling method, and cost error function has been reported by Gonzalez et al [59].…”

Section: Application Of Artificial Neural Network In Ballistic Impactmentioning

confidence: 99%

An overview on penetration mechanism and optimization techniques of steel sandwich structure under ballistic testing

Ebo-Quansah

Hassanin

Adachi

et al. 2022

International Journal of Materials Technology and Innovation

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This review reports on the current trends in steel-based sandwich structures subjected under high velocity impact. The review begins with a brief introduction on sandwich structures in general. It then delves into detail on some structural configuration parameters that affect sandwich performance. Light has been thrown on the energy absorption mechanisms of sandwich panels. The current global demand on energy necessitates the design of lightweight structures. Therefore, the review also elucidates on sandwich design optimization techniques mostly employed by researchers in meeting design constraints and objectives at the minimum weight and cost. Among these optimization techniques are the artificial neural network, fuzzy logic, Taguchi based method, response surface method, particle swarm optimization, genetic algorithm among others. The promising potential of auxetic materials with their negative Poisson's ratio in resisting impact penetration has been discussed. A comprehensive explanation on failure mechanisms that are encountered during projectile penetration has also been elaborated upon. Parameters such as projectile geometry, core design, core material and thickness of facesheets noted to have enormous influence on penetration resistance have also been addressed.

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Section: Application Of Artificial Neural Network In Ballistic Impactmentioning

confidence: 99%

An overview on penetration mechanism and optimization techniques of steel sandwich structure under ballistic testing

Ebo-Quansah

Hassanin

Adachi

et al. 2022

International Journal of Materials Technology and Innovation

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“…Some scholars have adopted the Pareto concept in addressing this issue, which can effectively identify better tradeoff solutions in the solution space [12][13][14]. There are also scholars who have directly optimized all the optimization objectives using a weighted sum method [15,16]. This method, compared to the former one, is simpler and more intuitive in terms of methodology.…”

Section: Introductionmentioning

confidence: 99%

Crashworthiness Optimization Method of Ship Structure under Multi-Working Conditions

Liu

et al. 2023

JMSE

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Numerous collision conditions can occur during ship operations, resulting in various consequences that require specific consideration for optimizing crashworthiness design. Existing studies have investigated crashworthiness design in ship structures; however, they often focus on single working conditions and do not comprehensively consider the diverse scenarios encountered during ship operations. To overcome this drawback, this paper proposes a novel method that addresses multi-working conditions and combines orthogonal testing with a backpropagation neural network (BPNN) to establish an efficient surrogate model for collision optimization. The accuracy of the BPNN was improved by introducing the genetic algorithm and Adam algorithm. The technique for order preference by similarity to ideal solution (TOPSIS) is introduced to formulate a multi-working condition optimization function. The crashworthiness of the ship structure is optimized using the sparrow search algorithm (SSA) while considering the constraint of lightweight design. The results demonstrate a substantial reduction in the objective functions for the optimized collision conditions. Moreover, the BPNN predicted values are in good agreement with the finite element simulation results, affirming the effectiveness of the proposed method in improving the crashworthiness of the ship structure and providing valuable guidance for engineering design.

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“…8 Many studies have been taken on trapezoidal and triangular corrugated core sandwich structures commencing from 2009 to 2021 to analyze the behavior of the corrugated structures under compressive load at different rates. [9][10][11][12][13][14][15][16] Also, due to their low-cost raw materials of polymeric foams, they have been used in the core fabrication, hence they play a significant role in the cost-effective production of sandwich panels. 17 Kılıçaslan et al investigated the multi-layer trapezoidal aluminum cores under local impact using spherical, conical, and flat-head impact applier.…”

Section: Introductionmentioning

confidence: 99%

Energy absorption of foam-filled corrugated core sandwich panels under quasi-static loading

Taghipoor

Sefidi

2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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The present paper tries to introduce the effect of foam-filled on a type of trapezoidal corrugated core and their structures derived from the related previous studies. The main purpose of this work is to present a novel geometry of trapezoidal cores, and their configurations are inspired by the earlier works. These absorbers have been proposed to raise the specific energy absorption (SEA) while declining the initial peak crushing force. Therefore, five corrugated core sandwich panels have been tested under quasi-static axial compressive load experimentally and then simulated by ABAQUS software. The accuracy of the numerical simulations is validated by comparing the numerical results with the corresponding experimental data. Besides, some other simulations have been carried out to investigate the effect of foam density, core type, and thickness in more detail. The comparison results show that the SEA rate of bi-core sandwich panels which has not been filled by foam is better than the single trapezoidal core sandwich panels, and this rate is roughly around 70%. The best performance is relevant to the pure foam core without any trapezoidal core structure and the next item is the single foam-filled corrugated core and the lowest performance among them is related to the bi-core corrugated core foam-filled.

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Multi-Objective Optimization Design of Corrugated Steel Sandwich Panel for Impact Resistance

Cited by 8 publications

References 36 publications

An overview on penetration mechanism and optimization techniques of steel sandwich structure under ballistic testing

An overview on penetration mechanism and optimization techniques of steel sandwich structure under ballistic testing

Crashworthiness Optimization Method of Ship Structure under Multi-Working Conditions

Energy absorption of foam-filled corrugated core sandwich panels under quasi-static loading

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