Results 91 to 100 of about 6,969 (230)

The structure response of sandwich beams with metallic auxetic honeycomb cores under localized impulsive loading-experiments and finite element analysis

open access: yesMaterials & Design, 2019
In recent years, auxetic cellular materials such as auxetic reentrant honeycombs were widely studied due to its attractively negative Poisson's ratio.
Dengbao Xiao   +4 more
doaj   +1 more source

Inherently Disordered Auxetic Metamaterials

open access: yesAdvanced Science, EarlyView.
Inherently disordered auxetic metamaterials based on random chiral Delaunay triangulations are designed and investigated using numerical simulations and experimental tests. These disordered frameworks exhibit orthotropic behavior and a large negative Poisson's ratio (ca.
Matteo Montanari   +3 more
wiley   +1 more source

FINITE ELEMENT APPROACH AND MATHEMATICAL FORMULATION OF VISCOELASTIC AUXETIC HONEYCOMB STRUCTURES FOR IMPACT MITIGATION [PDF]

open access: yesJournal of Engineering Science and Technology, 2017
Auxetic structures are designed to be used for producing auxetic materials with controllable mechanical properties. The present study treats a design of viscoelastic auxetic honeycomb structures using numerical approach and mathematical formulation for ...
MOZAFAR SHOKRI RAD   +2 more
doaj  

Stiff auxetics: Hierarchy as a route to stiff, strong lattice based auxetic meta-materials [PDF]

open access: yesScientific Reports, 2018
AbstractUsing a combination of analytic and computational methods, we examine the effect of adding hierarchical substructure to an auxetic lattice. Our novel methodology, involving a coarse grain approach, allows for the analysis of hierarchically sub-structured lattices where direct computation would prove intractable.
openaire   +4 more sources

All‐in‐One Underwater Quality Evaluation Metamaterial With Mechanical Robustness, Sound Attenuation, and Diffuse Reflection

open access: yesAdvanced Science, EarlyView.
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li   +8 more
wiley   +1 more source

Monitoring Auxetic Structure with FBG Sensor

open access: yese-Journal of Nondestructive Testing
Auxetic materials are a particular class of materials which present a negative Poisson ratio (NPR). This means that once they are stretched, they expand in the directions orthogonal to the applied load. The dual behaviour occurs during compression tests.
Riccardo C. Moroni   +2 more
doaj   +1 more source

Honeycomb and auxetic paper-based metamaterials [PDF]

open access: yes, 2013
Honeycomb papers are metamaterials gaining their features from their structures.
Sparavigna, Amelia Carolina
core  

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Home - About - Disclaimer - Privacy