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Parameterized representative volume element (RVE) for textile-reinfoced composites

Authors: Mester, Leonie; Klinkel, Sven;

Parameterized representative volume element (RVE) for textile-reinfoced composites

Abstract

Description: This record contains a tool for the Rhinoceros plug-in Grasshopper. It can be used for the generation of representative volume elements (RVEs) for textile-reinfoced composites, which can be embedded in a multiscale framework. The geometries describing roving and surrounding composite are partitioned in star-shaped subgeometries. The roving in weft and warp direction are described as elliptical cylinder, furthermore they are assumed to be orthogonal to each other. The following characteristic properties can be adjusted: grid opening of the textile in warp and weft direction l1 and l2 height of the representative volume element hRVE radii of the rovings in warp and weft direction h1/b1 and h2/b2 cover height c0 Furthermore the models used to generate the numerical results of the following publication are gathered: "Analysis of Thin Carbon Reinforced Concrete Structures through Micro Tomography and Machine Learning" [1] Please refer to the associate publication for complete understanding. Software requirements: Rhinoceros version 7 with Grasshopper plug-in References: [1] Wagner, F.; Mester, L.; Klinkel, S. et al.: Analysis of Thin Carbon Reinforced Concrete Structures through Microtomography and Machine Learning. In: buildings 13 (2023), Heft 9, S. 2399. https://doi.org/10.3390/buildings13092399.

This research has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB/TRR 280; Project-ID: 417002380

Related Organizations
Keywords

Representative Volume Element, Parametric modeling, Multiscale Modeling, SBIGA

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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