The in-plane stretching and compression mechanics of Negative Poisson’s ratio structures: Concave hexagon, star shape, and their combination

Zhao, Changfang; Zhou, Zhitan; Liu, Xinxin; Ziruo, Tang; Zhang, Kebin; Zhang, Peng; Ren, Ji‐Chang; Liu, Zhilin; Le, Guigao; Zhong, Jianlan

doi:10.1016/j.jallcom.2020.157840

Cited by 32 publications

(4 citation statements)

References 21 publications

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“…Yao et al [49] (figure 4(2-b)) applied gradient patterns of centrosymmetric perforations to control the auxetic behavior. Zhao et al [50] (figure 4(2-c)) combined various re-entrant structures, effectively modifying the mechanical properties of the composite structures. Hierarchical structures, a class of systems composed of structural elements with their own structure, often have significantly enhanced mechanical properties compared to their non-hierarchical counterparts [51].…”

Section: Variants Of Classic Auxetic Structurementioning

confidence: 99%

“…Hybrid structure Program auxetic behavior Two-dimensional graded re-entrant metamaterials [29] (figure 4(2-a)) Two-dimensional graded rotating rigid metamaterials [49] (figure 4(2-b)) Rotating different-sized squares and rectangles structures [50] (figure 4(2-c))…”

Section: Element Transformationmentioning

confidence: 99%

“…During this period, various types of auxetic structures and metamaterials have been proposed, while related research about their applications in different areas was gradually on the rise as listed in table 1. With different applications, the desired properties can be varied, from pure mechanical requirements for energy absorption [50,59] to more complex coupled requirements such as thermomechanical properties for cooling systems [9,10] and acoustic properties for wave propagation [60,61]. Consequently, advanced design methods are needed for these complex requirements.…”

Section: Designs and Optimization Of Auxetic Metamaterialsmentioning

confidence: 99%

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A critical review on the application of machine learning in supporting auxetic metamaterial design

Zhang,

Zhao

2024

J. Phys. Mater.

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The progress of machine learning (ML) in the past years has opened up new opportunities to the design of auxetic metamaterials. However, successful implementation of ML algorithms remains challenging, particularly for complex problems such as domain performance prediction and inverse design.In this paper, we first reviewed classic auxetic designs and summarized their variants in different applications. The enormous variant design space leads to challenges using traditional design or topology optimization.Therefore, we also investigated how ML techniques can help address design challenges of auxetic metamaterials and when researchers should deploy them. The theories behind the techniques are explained, along with practical application examples from the analysed literature. The advantages and limitations of different ML algorithms are discussed and trends in the field are highlighted. Finally, two practical problems of ML-aided design, design scales and data collection are discussed.

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Section: Variants Of Classic Auxetic Structurementioning

confidence: 99%

Section: Element Transformationmentioning

confidence: 99%

Section: Designs and Optimization Of Auxetic Metamaterialsmentioning

confidence: 99%

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A critical review on the application of machine learning in supporting auxetic metamaterial design

Zhang,

Zhao

2024

J. Phys. Mater.

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“…A variety of auxetic structures have been designed, such as the re-entrant [15], AuxHux [16], star shape [17], and double-V [18] structures. Re-entrant structure is one of the most extensively investigated cells due to its easily controllable mechanical properties and convenient fabrication.…”

Section: Introductionmentioning

confidence: 99%

In-plane elastic property prediction of straight-arc coupled auxetic structures

Zhang

Hao

et al. 2023

J. Phys. D: Appl. Phys.

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Auxetic metamaterials with two component exhibit widely potential engineering applications due to their exotic mechanical properties. In this work, a novel straight-arc coupled structure (SACS) is designed by introducing a circular arc structure to a classical re-entrant structure. This work aims to explore the linear and geometrical nonlinear mechanical of SACS at large strains. According to the Castigliano’s second theorem, the in-plane linear theoretical model is established to obtain equivalent Poisson's ratio and elastic modulus. A geometrical nonlinear model is further established based on large deflection theory and chain algorithm. The finite element method is used to verify the prediction of the theoretical solution, and linear and nonlinear mechanical properties of the SACS are studied by numerical simulation. The influence of geometric parameters re-entrant angle and arc radius on the mechanical properties of the SACS is investigated to compare the linear and nonlinear mechanical properties. The linear numerical simulation of straight-arc coupled structure with two transverse ribs (SACS-TR) and classical re-entrant honeycomb structure with two transverse ribs (CRS-TR) with the same dimension is carried out to analyze the in-plane elastic properties. These results demonstrate that considering the geometric nonlinear can predict the actual structural deformation more accurately, which is verified by the quasi-static compression experiment results at large strains. The straight-arc coupled structure design can enhance the auxetic effect and structure Young’s moduli under same dimension.

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On the Study of Thickness Gradients in Novel Star Honeycombs: Classical and Combinatorial Designs

Li,

Guo

et al. 2024

Physica Status Solidi (b)

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Herein, a series of gradient designs are carried out to enhance further the energy absorption capacity of a novel star honeycomb. These include unidirectional and bidirectional gradient designs along the impact direction, while the gradient changes in the non‐impact direction are considered. Via the coupling of bidirectional and unidirectional directions, a combined gradient evolution method is further proposed. The in‐plane compression characteristics of these gradient honeycombs are systematically revealed based on the validated finite element method at low‐, medium‐, and high‐velocity impacts, respectively. The results show that honeycombs with gradient variations in the impact direction are realized as localized modes under both low‐ and medium‐velocity impacts, while honeycombs with gradient design only in the non‐impact direction exhibited global modes and “local + global” modes, respectively; under high‐speed impacts, honeycombs with gradient configurations in the non‐impact direction showed stepped layer‐by‐layer collapses, whereas honeycombs with gradient evolutions only in the impact direction collapsed in I‐shaped layers. Besides, the increase in compressive strength and specific energy absorption of honeycomb with combined gradient configuration can be up to 38.1% and 67.9%. This article provides a new idea of honeycomb gradient evolution, which can provide a reference for improving the energy‐absorption capacity of honeycombs.

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The in-plane stretching and compression mechanics of Negative Poisson’s ratio structures: Concave hexagon, star shape, and their combination

Cited by 32 publications

References 21 publications

A critical review on the application of machine learning in supporting auxetic metamaterial design

A critical review on the application of machine learning in supporting auxetic metamaterial design

In-plane elastic property prediction of straight-arc coupled auxetic structures

On the Study of Thickness Gradients in Novel Star Honeycombs: Classical and Combinatorial Designs

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