Published September 13, 2023 | Version 0.1.0
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Parameterized representative volume element (RVE) for textile-reinfoced composites

  • 1. Chair of Structural Analysis and Dynamics, RWTH Aachen University

Contributors

  • 1. Chair of Structural Analysis and Dynamics, RWTH Aachen University

Description

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.

 

 

Notes

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

Files

RVE_param.zip

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Additional details

Related works

References

  • 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.