Bamboo-inspired composite metastructure for broadband microwave absorption and load bearing DOI

Yubing Duan,

Qingxuan Liang, Zhen Yang

et al.

Materials Research Bulletin, Journal Year: 2023, Volume and Issue: 166, P. 112368 - 112368

Published: May 27, 2023

Language: Английский

The ABH-based lattice structure for load bearing and vibration suppression DOI
Hui Sheng, Meng-Xin He, Jiale Zhao

et al.

International Journal of Mechanical Sciences, Journal Year: 2023, Volume and Issue: 252, P. 108378 - 108378

Published: April 11, 2023

Language: Английский

Citations

39

Radar-stealth and load-bearing corrugated sandwich structures with superior environmental adaptability DOI
Zhong Zhang, Hongshuai Lei, Haiyang Yang

et al.

Composites Science and Technology, Journal Year: 2022, Volume and Issue: 227, P. 109594 - 109594

Published: June 16, 2022

Language: Английский

Citations

38

Controlling auxeticity in curved-beam metamaterials via a deep generative model DOI
Gerrit Felsch, Naeim Ghavidelnia, David Schwarz

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 410, P. 116032 - 116032

Published: April 6, 2023

Language: Английский

Citations

32

Structural design and electromagnetic wave absorbing performance optimization of lightweight foam cement-based metamaterials DOI
Yuanyi Yang,

Xianyun Shi,

Qi Zhou

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 438, P. 137191 - 137191

Published: July 4, 2024

Language: Английский

Citations

14

Damage-programmable design of metamaterials achieving crack-resisting mechanisms seen in nature DOI Creative Commons

Zhenyang Gao,

Xiaolin Zhang, Yi Wu

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Aug. 27, 2024

The fracture behaviour of artificial metamaterials often leads to catastrophic failures with limited resistance crack propagation. In contrast, natural materials such as bones and ceramics possess microstructures that give rise spatially controllable path toughened material advances. This study presents an approach is inspired by nature's strengthening mechanisms develop a systematic design method enabling damage-programmable engineerable microfibers in the cells can program micro-scale behaviour. Machine learning applied provide effective engine accelerate generation offer advanced toughening functionality bowing, deflection, shielding seen materials; are optimised for given programming path. paper shows features effectively enable crack-resisting on basis tip interactions, shielding, bridging synergistic combinations these mechanisms, increasing up 1,235% absorbed energy comparison conventional metamaterials. proposed have broad implications damage-tolerant materials, lightweight engineering systems where significant resistances or highly programmable damages high performances sought after.

Language: Английский

Citations

13

3D printing of active mechanical metamaterials: A critical review DOI Creative Commons
Muhammad Yasir Khalid, Zia Ullah Arif, Ali Tariq

et al.

Materials & Design, Journal Year: 2024, Volume and Issue: unknown, P. 113305 - 113305

Published: Sept. 1, 2024

Language: Английский

Citations

10

Accelerating the design of lattice structures using machine learning DOI Creative Commons
Aldair E. Gongora,

Caleb Friedman,

Deirdre K. Newton

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 14, 2024

Abstract Lattices remain an attractive class of structures due to their design versatility; however, rapidly designing lattice with tailored or optimal mechanical properties remains a significant challenge. With each added variable, the space quickly becomes intractable. To address this challenge, research efforts have sought combine computational approaches machine learning (ML)-based reduce cost process and accelerate design. While these made substantial progress, challenges in (1) building interpreting ML-based surrogate models (2) iteratively efficiently curating training datasets for optimization tasks. Here, we first challenge by combining modeling Shapley additive explanation (SHAP) analysis interpret impact variable. We find that our achieve excellent prediction capabilities ( R 2 > 0.95) SHAP values aid uncovering variables influencing performance. second utilizing active learning-based methods, such as Bayesian optimization, explore report 5 × reduction simulations relative grid-based search. Collectively, results underscore value intelligent systems leverage methods key accelerating

Language: Английский

Citations

9

Revealing Diatom‐Inspired Materials Multifunctionality DOI Creative Commons
Ludovico Musenich, Daniele Origo,

Filippo Gallina

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Abstract Diatoms have been described as “nanometer‐born lithographers” because of their ability to create sophisticated 3D amorphous silica exoskeletons. The hierarchical architecture these structures provides diatoms with mechanical protection and the filter, float, manipulate light. Therefore, they emerge an extraordinary model multifunctional materials from which draw inspiration. In this paper, numerical simulations, analytical models, experimental tests are used unveil structural fluid dynamic efficiency Coscinodiscus species diatom. Then a novel printable biomimetic material is proposed for applications such porous filters, heat exchangers, drug delivery systems, lightweight structures, robotics. results demonstrate Nature's role designer efficient tunable systems highlight potential engineering innovation. Additionally, paper lays foundation extend structure‐property characterization diatoms.

Language: Английский

Citations

1

A negative-stiffness based 1D metamaterial for bidirectional buffering and energy absorption with state recoverable characteristic DOI
Renjing Gao, Shuai Guo, Xiangyu Tian

et al.

Thin-Walled Structures, Journal Year: 2021, Volume and Issue: 169, P. 108319 - 108319

Published: Sept. 11, 2021

Language: Английский

Citations

54

Novel multifunctional lattice composite structures with superior load-bearing capacities and radar absorption characteristics DOI
Zhong Zhang, Hongshuai Lei, Haiyang Yang

et al.

Composites Science and Technology, Journal Year: 2021, Volume and Issue: 216, P. 109064 - 109064

Published: Sept. 22, 2021

Language: Английский

Citations

44