GRFsaw: A lightweight stochastic microstructure generator
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866910731241259008 |
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| author | Blatny, Lars Löwe, Henning Gaume, Johan |
| author_facet | Blatny, Lars Löwe, Henning Gaume, Johan |
| contents | This article presents GRFsaw, an open-source software for generating two-phase (binary) microstructures with user-defined structural properties. Unlike most standard software for microstructure generation, GRFsaw is based on the concept of thresholding Gaussian random fields (GRF). It is designed to be used by researchers or engineers in need of a lightweight tool to generate microstructures of various geometries, for example as input to simulations or to other models where such geometries are needed. This could be simulations of fluid flow through porous media, in predictive models of electromagnetic scattering by materials, or in mechanical loading simulations in order to assess, e.g., the material's elasticity or strength. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_05168 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GRFsaw: A lightweight stochastic microstructure generator Blatny, Lars Löwe, Henning Gaume, Johan Computational Engineering, Finance, and Science Materials Science This article presents GRFsaw, an open-source software for generating two-phase (binary) microstructures with user-defined structural properties. Unlike most standard software for microstructure generation, GRFsaw is based on the concept of thresholding Gaussian random fields (GRF). It is designed to be used by researchers or engineers in need of a lightweight tool to generate microstructures of various geometries, for example as input to simulations or to other models where such geometries are needed. This could be simulations of fluid flow through porous media, in predictive models of electromagnetic scattering by materials, or in mechanical loading simulations in order to assess, e.g., the material's elasticity or strength. |
| title | GRFsaw: A lightweight stochastic microstructure generator |
| topic | Computational Engineering, Finance, and Science Materials Science |
| url | https://arxiv.org/abs/2412.05168 |