Topology Design of Soft Phononic Crystals for Tunable Band Gaps: A Deep Learning Approach

Materials, Год журнала: 2025, Номер 18(2), С. 377 - 377

Опубликована: Янв. 15, 2025

The phononic crystals composed of soft materials have received extensive attention owing to the extraordinary behavior when undergoing large deformations, making it possible provide tunable band gaps actively. However, inverse designs them mainly rely on gradient-driven or gradient-free optimization schemes, which require sensitivity analysis cause time-consuming, lacking intelligence and flexibility. To this end, a deep learning-based framework conditional variational autoencoder multilayer perceptron is proposed discover mapping relation from topology layout applied with prestress. nonlinear superelastic neo-Hookean model employed describe constitutive characteristics, based structures are obtained via transfer matrix method accompanied Bloch theory. results show that data-driven approach can efficiently rapidly generate multiple candidates predicted in accord each other also consistent prescribed targets, verifying accuracy flexibility simultaneously. Furthermore, generalization performance, design space deeply exploited obtain desired whose stop bands characterized by wider bandwidth, lower location, enhanced wave attenuation performance.

Язык: Английский

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Inertial amplification stiffened meta-panels for low-frequency sound insulation

International Journal of Mechanical Sciences, Год журнала: 2025, Номер unknown, С. 110116 - 110116

Опубликована: Март 1, 2025

Язык: Английский

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High load-bearing plate-type metastructure for ultrabroadband sound insulation

Mechanical Systems and Signal Processing, Год журнала: 2025, Номер 228, С. 112453 - 112453

Опубликована: Фев. 12, 2025

Язык: Английский

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Characterization and Optimization of Sound Transmission Loss of PVC Foam Sandwich Structure Reinforced by Carbon Fiber Columns

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(2), С. 380 - 380

Опубликована: Фев. 19, 2025

This study presents a foam sandwich structure reinforced with carbon fiber columns (FSS-CFC), which exhibits strong mechanical and sound insulation properties. The FSS-CFC consists of two face-sheets polyvinyl chloride (PVC) core containing multiple CFC cylinders arranged in periodic array. transmission loss (STL) measured acoustic tube experiments closely aligns the finite element simulation results, validating reliability present research. Through characteristic analyses, reveals mechanism FSS-CFC, identifying three distinct dips caused by standing wave resonance core, column-driven same-direction bending vibrations, column-constrained opposite-direction vibrations sheets. It is also demonstrated that performance insensitive to hydrostatic pressure changes. Finally, optimized genetic algorithm MATLAB COMSOL. displays good improvements both compared initial structure. average STL frequency 500 Hz 25,000 has increased 3 dB, representing an improvement approximately 25%. could provide valuable insights for development pressure-resistant use on deep-water vehicles.

Язык: Английский

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Efficient Dataset Generation for Inverse Design of Micro-Perforated Sonic Crystals

International Journal of Mechanical Sciences, Год журнала: 2025, Номер unknown, С. 110190 - 110190

Опубликована: Март 1, 2025

Язык: Английский

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Topology design of two dimensional viscoelastic phononic crystals for wave attenuation based on deep generative neural networks

Engineering Structures, Год журнала: 2025, Номер 336, С. 120313 - 120313

Опубликована: Апрель 23, 2025

Язык: Английский

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