Optimization design of acoustic black hole structures by embedding disordered hyperuniform phononic crystals

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software Pub Date : 2024-11-08 DOI:10.1016/j.advengsoft.2024.103818

Yu-Lei Wang , Ji-Hong Zhu , Liang Meng , Tao Liu , Wei-Hong Zhang

引用次数: 0

Abstract

Incorporating the unique energy concentration features of acoustic black hole (ABH) and frequency band gaps of phononic crystals, this paper presents an optimization approach for the acoustic black hole structure by embedding disordered hyperuniform phononic crystal (ABH-DHPC). The operating frequency of the design ABH-DHPC is achieved by manipulating the band-gaps of the DHPC. Specifically, the current work establishes an optimization design method for DHPC band gaps by using an equivalent unit cell instead of the supercell of DHPC to calculate the band gap. The ABH-DHPCs, ranging from 1 mm to 100 m, are meticulously crafted to operate within the frequency range of 0.1–100 kHz. Lastly, samples of centimeter size, manufactured using this method, exhibited a remarkable 40-fold enhancement in vibration response during experiments conducted at 1–2 kHz.

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通过嵌入无序超均匀声子晶体优化设计声学黑洞结构

本文结合声学黑洞（ABH）独特的能量集中特性和声子晶体的频带隙，提出了一种通过嵌入无序超均匀声子晶体（ABH-DHPC）来优化声学黑洞结构的方法。设计 ABH-DHPC 的工作频率是通过操纵 DHPC 的带隙来实现的。具体来说，目前的研究工作通过使用等效单元格而不是 DHPC 的超单元格来计算带隙，建立了 DHPC 带隙的优化设计方法。ABH-DHPC 的尺寸从 1 毫米到 100 米不等，经过精心制作，可在 0.1-100 kHz 的频率范围内工作。最后，使用这种方法制造的厘米级样品在 1-2 kHz 的实验中显示出显著的 40 倍振动响应增强。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.