Machine learning and deep learning in phononic crystals and metamaterials – A review

Materials Today Communications, Год журнала: 2022, Номер 33, С. 104606 - 104606

Опубликована: Окт. 4, 2022

Язык: Английский

---

Application of elastic metamaterials/meta-structures in civil engineering: A review

Composite Structures, Год журнала: 2023, Номер 327, С. 117663 - 117663

Опубликована: Окт. 28, 2023

Inspired by sonic engineering, locally resonant metamaterials have attracted much attention from researchers in civil engineering for their unique characteristics of stress wave attenuation and vibration control capacities. This paper presents a comprehensive review the latest progress potential applications structure protection against dynamic loads. The concepts are introduced first, followed overview historical origins development metamaterials. Existing analytical approaches metamaterials, including theoretical solutions, numerical simulations, experimental examinations, summarised. Commonly used meta-structures with internal or external resonators reviewed discussed. Research gaps future outlooks also identified briefed.

Язык: Английский

---

Artificial piezoelectric metamaterials

Progress in Materials Science, Год журнала: 2025, Номер unknown, С. 101434 - 101434

Опубликована: Янв. 1, 2025

---

Simulation and design of T-shaped barrier tops including periodic split ring resonator arrays for increased noise reduction

Applied Acoustics, Год журнала: 2025, Номер 236, С. 110751 - 110751

Опубликована: Апрель 25, 2025

Язык: Английский

---

Lightweight architected lattice phononic crystals with broadband and multiband vibration mitigation characteristics

Extreme Mechanics Letters, Год журнала: 2020, Номер 41, С. 100994 - 100994

Опубликована: Сен. 19, 2020

Язык: Английский

---

High-frequency topological corner and edge states in elastic honeycomb plates

International Journal of Mechanical Sciences, Год журнала: 2023, Номер 246, С. 108141 - 108141

Опубликована: Янв. 14, 2023

Язык: Английский

---

Design and bandgap optimization of multi-scale composite origami-inspired metamaterials

International Journal of Mechanical Sciences, Год журнала: 2023, Номер 248, С. 108233 - 108233

Опубликована: Фев. 23, 2023

Язык: Английский

---

Deep learning for the design of phononic crystals and elastic metamaterials

Journal of Computational Design and Engineering, Год журнала: 2023, Номер 10(2), С. 602 - 614

Опубликована: Фев. 6, 2023

Abstract The computer revolution coming by way of data provides an innovative approach for the design phononic crystals (PnCs) and elastic metamaterials (EMs). By establishing analytical surrogate model PnCs/EMs, deep learning based on artificial neural networks possesses superiorities rapidity accuracy in design, making up shortcomings traditional methods. Here, recent progresses forward prediction, parameter topology PnCs EMs are reviewed. challenges perspectives this emerging field also commented.

Язык: Английский

---

Topology optimization of phononic crystal with prescribed band gaps

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2023, Номер 412, С. 116071 - 116071

Опубликована: Май 15, 2023

Язык: Английский

---

Design and compression-induced bandgap evolution of novel polygonal negative stiffness metamaterials

International Journal of Mechanical Sciences, Год журнала: 2023, Номер 261, С. 108658 - 108658

Опубликована: Авг. 5, 2023

Язык: Английский

---