{"title":"研究拓扑结构对spinodal微结构弹性的影响","authors":"Farshid Golnary, M Asghari","doi":"10.1088/1361-651x/acfd48","DOIUrl":null,"url":null,"abstract":"Abstract Spinodal topologies formed through self-assembly processes exhibit unique mechanical properties, such as smoothness and non-periodicity, making them resistant to buckling and manufacturing defects. While extensive research has focused on their mechanical behavior, limited attention has been given to understanding the impact of their complex topology. This study aims to investigate the relationship between the topological features of two-dimensional spinodal topologies, characterized using computational homology, and their elastic response by analyzing scaling laws. Sensitivity analysis was conducted to determine the influence of various topological characteristics on Young's modulus and Poisson's ratio. Computational homology techniques were used to measure Betti numbers, which represent the number of loops and disjoint regions in the spinodal topologies. Additionally, these techniques were also employed to determine the size of these loops and regions. Among all the topological characteristics studied, the number and size of loops were found to have the highest influence on the elastic properties, specifically Young's modulus and Poisson's ratio. Understanding the rules that govern the way two-dimensional spinodal topologies respond elastically is crucial for comprehending how they behave mechanically and for optimizing their performance. The research findings highlight the significant impact of certain topological features, specifically the number and size of loops, on the material properties. This knowledge provides valuable insights for designing and engineering spinodal structures.
","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"293 1","pages":"0"},"PeriodicalIF":1.9000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating the influence of topology on elasticity in spinodal microstructures\",\"authors\":\"Farshid Golnary, M Asghari\",\"doi\":\"10.1088/1361-651x/acfd48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Spinodal topologies formed through self-assembly processes exhibit unique mechanical properties, such as smoothness and non-periodicity, making them resistant to buckling and manufacturing defects. While extensive research has focused on their mechanical behavior, limited attention has been given to understanding the impact of their complex topology. This study aims to investigate the relationship between the topological features of two-dimensional spinodal topologies, characterized using computational homology, and their elastic response by analyzing scaling laws. Sensitivity analysis was conducted to determine the influence of various topological characteristics on Young's modulus and Poisson's ratio. Computational homology techniques were used to measure Betti numbers, which represent the number of loops and disjoint regions in the spinodal topologies. Additionally, these techniques were also employed to determine the size of these loops and regions. Among all the topological characteristics studied, the number and size of loops were found to have the highest influence on the elastic properties, specifically Young's modulus and Poisson's ratio. Understanding the rules that govern the way two-dimensional spinodal topologies respond elastically is crucial for comprehending how they behave mechanically and for optimizing their performance. The research findings highlight the significant impact of certain topological features, specifically the number and size of loops, on the material properties. This knowledge provides valuable insights for designing and engineering spinodal structures.
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Investigating the influence of topology on elasticity in spinodal microstructures
Abstract Spinodal topologies formed through self-assembly processes exhibit unique mechanical properties, such as smoothness and non-periodicity, making them resistant to buckling and manufacturing defects. While extensive research has focused on their mechanical behavior, limited attention has been given to understanding the impact of their complex topology. This study aims to investigate the relationship between the topological features of two-dimensional spinodal topologies, characterized using computational homology, and their elastic response by analyzing scaling laws. Sensitivity analysis was conducted to determine the influence of various topological characteristics on Young's modulus and Poisson's ratio. Computational homology techniques were used to measure Betti numbers, which represent the number of loops and disjoint regions in the spinodal topologies. Additionally, these techniques were also employed to determine the size of these loops and regions. Among all the topological characteristics studied, the number and size of loops were found to have the highest influence on the elastic properties, specifically Young's modulus and Poisson's ratio. Understanding the rules that govern the way two-dimensional spinodal topologies respond elastically is crucial for comprehending how they behave mechanically and for optimizing their performance. The research findings highlight the significant impact of certain topological features, specifically the number and size of loops, on the material properties. This knowledge provides valuable insights for designing and engineering spinodal structures.
期刊介绍:
Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation.
Subject coverage:
Modelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.