{"title":"利用多模态高阶拓扑状态的可并行机械逻辑实施方案","authors":"","doi":"10.1016/j.ijmecsci.2024.109697","DOIUrl":null,"url":null,"abstract":"<div><p>The dramatic advancement of autonomous engineering systems has fueled a surge of research interest in materials and structures embodying intelligence within the mechanical domain. Fundamental to achieving this mechanical intelligence is the ability to process information using the mechanics and dynamic characteristics of structures, such as wave propagation. While utilizing elastic waves for information processing and computing is a promising concept, a critical issue for current platforms is the lack of robust wave transmission that is insensitive to material or structural imperfections. The goal of this research is to overcome this obstacle by leveraging the extraordinary elastic wave control capabilities of higher-order topological metamaterials. More specifically, this work uncovers a novel approach that harnesses multimodal higher-order topological states to achieve robust and frequency-selective mechanical logic. Multimodal resonance is engineered into a 2D higher-order topological metamaterial to create 0D corner states that emerge in eight distinct frequency bands and have a rich collection of displacement field characteristics. A new phase-engineering strategy is synthesized that encodes binary information within the corner states to achieve eight fundamental mechanical logic gates. Crucially, this approach produces an easily detectable mechanical signal due to the temporal and spatial confinement of the higher-order topological states. The multifaceted frequency-dependent features of the corner states are innovatively employed to provide the logic gates with frequency-selective functionality and parallelize unique logic operations across multiple frequency channels. The mechanical logic uncovered in this study will pave the way for future intelligent structures that are much more resilient to cyberattacks and harsh environments, as compared to current systems that are built solely on electronics-based logic.</p></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":null,"pages":null},"PeriodicalIF":7.1000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Embodiment of parallelizable mechanical logic utilizing multimodal higher-order topological states\",\"authors\":\"\",\"doi\":\"10.1016/j.ijmecsci.2024.109697\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The dramatic advancement of autonomous engineering systems has fueled a surge of research interest in materials and structures embodying intelligence within the mechanical domain. Fundamental to achieving this mechanical intelligence is the ability to process information using the mechanics and dynamic characteristics of structures, such as wave propagation. While utilizing elastic waves for information processing and computing is a promising concept, a critical issue for current platforms is the lack of robust wave transmission that is insensitive to material or structural imperfections. The goal of this research is to overcome this obstacle by leveraging the extraordinary elastic wave control capabilities of higher-order topological metamaterials. More specifically, this work uncovers a novel approach that harnesses multimodal higher-order topological states to achieve robust and frequency-selective mechanical logic. Multimodal resonance is engineered into a 2D higher-order topological metamaterial to create 0D corner states that emerge in eight distinct frequency bands and have a rich collection of displacement field characteristics. A new phase-engineering strategy is synthesized that encodes binary information within the corner states to achieve eight fundamental mechanical logic gates. Crucially, this approach produces an easily detectable mechanical signal due to the temporal and spatial confinement of the higher-order topological states. The multifaceted frequency-dependent features of the corner states are innovatively employed to provide the logic gates with frequency-selective functionality and parallelize unique logic operations across multiple frequency channels. The mechanical logic uncovered in this study will pave the way for future intelligent structures that are much more resilient to cyberattacks and harsh environments, as compared to current systems that are built solely on electronics-based logic.</p></div>\",\"PeriodicalId\":56287,\"journal\":{\"name\":\"International Journal of Mechanical Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mechanical Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0020740324007380\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020740324007380","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Embodiment of parallelizable mechanical logic utilizing multimodal higher-order topological states
The dramatic advancement of autonomous engineering systems has fueled a surge of research interest in materials and structures embodying intelligence within the mechanical domain. Fundamental to achieving this mechanical intelligence is the ability to process information using the mechanics and dynamic characteristics of structures, such as wave propagation. While utilizing elastic waves for information processing and computing is a promising concept, a critical issue for current platforms is the lack of robust wave transmission that is insensitive to material or structural imperfections. The goal of this research is to overcome this obstacle by leveraging the extraordinary elastic wave control capabilities of higher-order topological metamaterials. More specifically, this work uncovers a novel approach that harnesses multimodal higher-order topological states to achieve robust and frequency-selective mechanical logic. Multimodal resonance is engineered into a 2D higher-order topological metamaterial to create 0D corner states that emerge in eight distinct frequency bands and have a rich collection of displacement field characteristics. A new phase-engineering strategy is synthesized that encodes binary information within the corner states to achieve eight fundamental mechanical logic gates. Crucially, this approach produces an easily detectable mechanical signal due to the temporal and spatial confinement of the higher-order topological states. The multifaceted frequency-dependent features of the corner states are innovatively employed to provide the logic gates with frequency-selective functionality and parallelize unique logic operations across multiple frequency channels. The mechanical logic uncovered in this study will pave the way for future intelligent structures that are much more resilient to cyberattacks and harsh environments, as compared to current systems that are built solely on electronics-based logic.
期刊介绍:
The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering.
The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture).
Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content.
In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.