A data-driven computational scheme for the nonlinear mechanical properties of cellular mechanical metamaterials under large deformation

T Xue, A Beatson, M Chiaramonte, G Roeder, JT Ash… - Soft matter, 2020 - pubs.rsc.org
Cellular mechanical metamaterials are a special class of materials whose mechanical
properties are primarily determined by their geometry. However, capturing the nonlinear …

A data-driven framework for structure-property correlation in ordered and disordered cellular metamaterials

S Luan, E Chen, J John, S Gaitanaros - Science Advances, 2023 - science.org
Extracting the relation between microstructural features and resulting material properties is
essential for advancing our fundamental knowledge on the mechanics of cellular …

Parameter space exploration of cellular mechanical metamaterials using genetic algorithms

S Liu, P Acar - AIAA Journal, 2023 - arc.aiaa.org
Cellular materials widely exist in natural biologic systems such as honeycombs, bones, and
woods. With advances in additive manufacturing, research on cellular metamaterials is …

Mapped shape optimization method for the rational design of cellular mechanical metamaterials under large deformation

T Xue, S Mao - International journal for numerical methods in …, 2022 - Wiley Online Library
Soft cellular mechanical metamaterials (CMMs) have gained increasing attention due to
their unique mechanical properties, especially when under large deformation. However, the …

Multiscale modeling and optimization of the mechanics of hierarchical metamaterials

DM Kochmann, JB Hopkins, L Valdevit - Mrs Bulletin, 2019 - cambridge.org
We present a survey of modeling techniques used to describe and predict architected
cellular metamaterials, and to optimize their topology and geometry toward tailoring their …

[HTML][HTML] Inverse-designed growth-based cellular metamaterials

S Van't Sant, P Thakolkaran, J Martínez, S Kumar - Mechanics of Materials, 2023 - Elsevier
Advancements in machine learning have sparked significant interest in designing
mechanical metamaterials, ie, materials that derive their properties from their inherent …

Accelerated design and characterization of non-uniform cellular materials via a machine-learning based framework

C Ma, Z Zhang, B Luce, S Pusateri, B Xie… - npj Computational …, 2020 - nature.com
Cellular materials, widely found in engineered and nature systems, are highly dependent on
their geometric arrangement. A non-uniform arrangement could lead to a significant …

Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials

M Fernández, F Fritzen… - International Journal for …, 2022 - Wiley Online Library
Mechanical metamaterials such as open‐and closed‐cell lattice structures, foams,
composites, and so forth can often be parametrized in terms of their microstructural …

Learning the nonlinear dynamics of mechanical metamaterials with graph networks

T Xue, S Adriaenssens, S Mao - International Journal of Mechanical …, 2023 - Elsevier
The dynamics of soft mechanical metamaterials provides opportunities for many exciting
engineering applications. Previous works have shown tremendous success in describing …

Nonlinear multiscale simulation of elastic beam lattices with anisotropic homogenized constitutive models based on artificial neural networks

T Gärtner, M Fernández, O Weeger - Computational Mechanics, 2021 - Springer
A sequential nonlinear multiscale method for the simulation of elastic metamaterials subject
to large deformations and instabilities is proposed. For the finite strain homogenization of …