Replication Data for: Shape Optimization of auxetic unit cells under dynamic loading in macroscopic components

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Replication Data for: Shape Optimization of auxetic unit cells under dynamic loading in macroscopic components
Grünfelder, Nicolas; Kälber, Lars; Waschinsky, Navina; Ricken, Tim, 2026, "Replication Data for: Shape Optimization of auxetic unit cells under dynamic loading in macroscopic components", https://doi.org/10.18419/DARUS-4777, DaRUS, V1
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Subtitle Python scripting fo the optimization function and the simulation call in Abaqus
Description

In this repository, an Python scripting approach for a Bayesian shape optimization, with an Abaqus implimentation for solving for natural frequencies and harmonic response simulation, is presented. The script "Shape_Opt_Master.py" controls all the necessary functions and contains the optimization as a wrapping function around the Abaqus simulations. Further details can be found in the README file. Following is the Abstract for the corresponding paper:

Auxetic metamaterials, characterized by their negative Poisson’s ratio, exhibit unique mechanical properties such as enhanced energy dissipation, improved vibration damping, and superior energy absorption. These properties make them particularly attractive for aerospace applications, where lightweight and high-performance structures are crucial. However, integrating auxetic structures into macroscopic components remains challenging due to the complex interplay between mesostructural design and overall structural behavior. This study introduces an optimization methodology that enables independent shape adjustments of auxetic mesostructures within different regions of a macroscopic component. Using a Bayesian optimization algorithm, the unit cell geometry is optimized to maximize energy dissipation, enhance dynamic stiffness, and minimize mass, ensuring a well-balanced trade-off between these competing objectives. A macroscopic cantilever beam composed of reentrant auxetic unit cells serves as a real-world-inspired case study and is analyzed under dynamic loading conditions, demonstrating the effectiveness of the optimized mesostructure in improving structural performance. Beyond the optimized structure itself, this study provides an in-depth analysis of the optimization process, offering valuable insights into the application of auxetic metamaterials in real life components and therefore in engineering practice. Additionally, a mesh convergence study is conducted to validate numerical accuracy. The results underscore the potential of auxetic metamaterials for aerospace applications, highlighting their performance-driven optimization and real-world applicability. (2025-02-14)
Subject Engineering
Keyword Auxetic Structure, Poisson's Ratio, Bayesian Optimization, Auxetics
Related Publication Is Supplement To: Grünfelder, N., Kälber, L., Navina, W., Ricken, T., Andre, M. & Afzal, S. (2025). Shape Optimization of auxetic unit cells under dynamic loading in macroscopic components. AeroBest 2025 - III ECCOMAS Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems. - ISBN 978-989-53599-5-0, 37-51url: https://eccomas.org/wp-content/uploads/2025/05/AeroBest2025_proceedings.pdf
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Abaqus_control_wrapping_func.py
Python Source Code - 3.8 KB
Published May 11, 2026
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MD5: aec35d13dcf4a51f11bffe5fbda6d90d
Assembly_Reentrant.py
Python Source Code - 4.6 KB
Published May 11, 2026
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MD5: 384b575bcbca41ca210235f3b4d8cd0f
Basic_functions.py
Python Source Code - 25.1 KB
Published May 11, 2026
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MD5: 693a01eaf0f6ad44126d20ba52ed7264
Basic_Functions_Sketch.py
Python Source Code - 6.4 KB
Published May 11, 2026
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MD5: 8abe6c8e2903bff6b772081dc8db027a
Boundary_Condition.py
Python Source Code - 7.6 KB
Published May 11, 2026
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MD5: 32d2cd6a3e27d46fd88e42b5da696bfa
Damping.py
Python Source Code - 2.2 KB
Published May 11, 2026
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MD5: 1cd4d22e27e2def85661f4a83fc0d96a
Delta_Thickness.py
Python Source Code - 5.8 KB
Published May 11, 2026
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MD5: 809f5a12e366f4e0928048703dd4a574
import_export_dict.py
Python Source Code - 1.4 KB
Published May 11, 2026
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MD5: 9c3b4ba0c23162d9136448ca6688a3be
Interactions.py
Python Source Code - 6.5 KB
Published May 11, 2026
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MD5: 7a724fdd7edcea3cd61a66c1e325801e
Job.py
Python Source Code - 3.3 KB
Published May 11, 2026
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MD5: ceeba7afbf1cfbc2428b5abd1fda583b
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Curation Status History
StatusDateAssigner
2026-05-11 11:03:40Nicolas Grünfelder
In Review by FoKUS2026-05-11 06:41:27Dataverse Admin
Waiting for Feedback from Author2026-02-05 14:59:18Dorothea Iglezakis
In Review by FoKUS2026-02-03 16:18:45Dorothea Iglezakis
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