Nonlinear Static and Dynamic Stability Analysis of Graphene Origami-Enabled Auxetic Metamaterial Plates with Geometric Imperfections

Nonlinear static and dynamic stability analysis of graphene origami (GOri)-enabled auxetic metamaterial plates with geometric imperfections is presented. The Poisson’s ratio, Young’s modulus, density, and coefficient of thermal expansion of GOri-enabled auxetic metamaterial (GOEAM) are obtained by genetic programming-assisted micromechanical models. Taking into account the effect of thermal environment, the control equation of GOEAM plates with geometric imperfections is established based on the first-order shear deformation theory and Hamilton’s principle. A nonautonomous system of nonlinear ordinary differential equations with parametric excitation is obtained by the Galerkin method. The critical buckling load and instability region are determined by the eigenvalue of Jacobian matrix and Bolotin’s approach. The results indicate that increasing the scale coefficient of imperfections and weight fraction of GOri will enhance the excitation frequency and critical buckling load of the structure, while increasing the temperature and degree of GOri folding will decrease the stability of the structure. Meanwhile, the presence of imperfections can lead to significant deformation and displacement of the structure subjected to surface internal forces.

Authors

Institutions

Publication Details

Journal
International Journal of Structural Stability and Dynamics
Published
2025-03-14
DOI
https://doi.org/10.1142/s0219455426502329
Primary Topic
Cellular and Composite Structures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nonlinear Static and Dynamic Stability Analysis of Graphene Origami-Enabled Auxetic Metamaterial Plates with Geometric Imperfections

Jun Liang Hu, Yu-Hang Wang, Aiwen Wang
International Journal of Structural Stability and Dynamics
Cellular and Composite Structures
article

Nonlinear Static and Dynamic Stability Analysis of Graphene Origami-Enabled Auxetic Metamaterial Plates with Geometric Imperfections

Jun Liang Hu, Yu-Hang Wang, Aiwen Wang
article en

Abstract

Nonlinear static and dynamic stability analysis of graphene origami (GOri)-enabled auxetic metamaterial plates with geometric imperfections is presented. The Poisson’s ratio, Young’s modulus, density, and coefficient of thermal expansion of GOri-enabled auxetic metamaterial (GOEAM) are obtained by genetic programming-assisted micromechanical models. Taking into account the effect of thermal environment, the control equation of GOEAM plates with geometric imperfections is established based on the first-order shear deformation theory and Hamilton’s principle. A nonautonomous system of nonlinear ordinary differential equations with parametric excitation is obtained by the Galerkin method. The critical buckling load and instability region are determined by the eigenvalue of Jacobian matrix and Bolotin’s approach. The results indicate that increasing the scale coefficient of imperfections and weight fraction of GOri will enhance the excitation frequency and critical buckling load of the structure, while increasing the temperature and degree of GOri folding will decrease the stability of the structure. Meanwhile, the presence of imperfections can lead to significant deformation and displacement of the structure subjected to surface internal forces.

International Journal of Structural Stability and Dynamics
Beijing Information Science & Technology University (CN)
Climate action
Openalex Percentile: Top 96%
Cellular and Composite Structures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.