Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Designing complex re-entrant honeycombs with optimal auxeticity

Lookup NU author(s): Dr Pooya SarehORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 The Author(s).Due to their distinctive mechanical properties, re-entrant honeycomb structures have attracted significant attention across various engineering fields, including aerospace applications. In this work, we propose a complex multi-node re-entrant honeycomb metastructure along with a corresponding design methodology. The mechanical behavior of these metastructures is accurately characterized using the stiffness matrix method. A genetic algorithm is employed to optimize the coordinates of internal nodes, minimizing the Poisson’s ratio under small deformations within a large design space. The results demonstrate that the proposed theoretical approach and optimization framework achieve high accuracy. Moreover, the optimized metastructure exhibits a significantly more negative Poisson’s ratio than conventional designs. The framework is also extensible to three-dimensional (3D) structures, with the 3D stiffness matrix method enabling the successful optimization of 3D multi-node re-entrant metastructures. Additionally, by integrating the Updated Lagrangian method with the genetic algorithm, the desired Poisson’s ratio can be maintained under large strains.


Publication metadata

Author(s): Shao Z, Chen Y, Gao J, Shen Z, Feng J, Sareh P

Publication type: Article

Publication status: Published

Journal: Aerospace Science and Technology

Year: 2026

Volume: 168

Issue: Part G

Print publication date: 01/01/2026

Online publication date: 23/11/2025

Acceptance date: 21/11/2025

Date deposited: 15/12/2025

ISSN (print): 1270-9638

ISSN (electronic): 1626-3219

Publisher: Elsevier Masson s.r.l.

URL: https://doi.org/10.1016/j.ast.2025.111337

DOI: 10.1016/j.ast.2025.111337

Data Access Statement: Data will be made available on request.


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
52478144
BK20231517
Engineering and Physical Sciences Research Council (EPSRC )
EP/X019470/1
Fundamental Research Funds for the Central Universities
Natural Science Foundation of Jiangsu Province for Distinguished Young Scientists
National Natural Science Foundation of China

Share