Computational Analysis of Thermal Buckling in Doubly-Curved Shells Reinforced with Origami-Inspired Auxetic Graphene Metamaterials

In this work, a computational modelling and analysis framework is developed to investigate the thermal buckling behavior of doubly-curved composite shells reinforced with graphene-origami (G-Ori) auxetic metamaterials. A semi-analytical formulation based on the First-Order Shear Deformation Theory (FSDT) and the principle of virtual displacements is established, and closed-form solutions are derived via Navier’s method for simply supported boundary conditions. The G-Ori metamaterial reinforcements are treated as programmable constructs whose effective thermo-mechanical properties are obtained via micromechanical homogenization and incorporated into the shell model. A comprehensive parametric study examines the influence of folding geometry, dispersion arrangement, reinforcement weight fraction, curvature parameters, and elastic foundation support on the critical buckling temperature (CBT). The results reveal that, under optimal folding geometry and reinforcement alignment with principal stress trajectories, the CBT can increase by more than 150%. Furthermore, the combined effect of G-Ori reinforcement and elastic foundation substantially enhances thermal buckling resistance. These findings establish design guidelines for architected composite shells in applications such as aerospace thermal skins, morphing structures, and thermally-responsive systems, and illustrate the potential of auxetic graphene metamaterials for multifunctional, lightweight, and thermally robust structural components.

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-12-23
DOI
https://doi.org/10.32604/cmes.2025.074898
Citations
1
Primary Topic
Cellular and Composite Structures
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Analysis of Thermal Buckling in Doubly-Curved Shells Reinforced with Origami-Inspired Auxetic Graphene Metamaterials

Ehsan Arshid
1 citations
Computer Modeling in Engineering & Sciences
Cellular and Composite Structures
0.71
article

Computational Analysis of Thermal Buckling in Doubly-Curved Shells Reinforced with Origami-Inspired Auxetic Graphene Metamaterials

Ehsan Arshid
article en
1 citations

Abstract

In this work, a computational modelling and analysis framework is developed to investigate the thermal buckling behavior of doubly-curved composite shells reinforced with graphene-origami (G-Ori) auxetic metamaterials. A semi-analytical formulation based on the First-Order Shear Deformation Theory (FSDT) and the principle of virtual displacements is established, and closed-form solutions are derived via Navier’s method for simply supported boundary conditions. The G-Ori metamaterial reinforcements are treated as programmable constructs whose effective thermo-mechanical properties are obtained via micromechanical homogenization and incorporated into the shell model. A comprehensive parametric study examines the influence of folding geometry, dispersion arrangement, reinforcement weight fraction, curvature parameters, and elastic foundation support on the critical buckling temperature (CBT). The results reveal that, under optimal folding geometry and reinforcement alignment with principal stress trajectories, the CBT can increase by more than 150%. Furthermore, the combined effect of G-Ori reinforcement and elastic foundation substantially enhances thermal buckling resistance. These findings establish design guidelines for architected composite shells in applications such as aerospace thermal skins, morphing structures, and thermally-responsive systems, and illustrate the potential of auxetic graphene metamaterials for multifunctional, lightweight, and thermally robust structural components.

Computer Modeling in Engineering & SciencesVol. 146(1)
Sustainable cities and communities
Openalex Percentile: Top 24%
Cellular and Composite Structures
0.71
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.