Article Dans Une Revue Materials Letters Année : 2023

Detecting bifurcations in 2D periodic metamaterials from images

Résumé

Architectured materials are often used for their high strength-to-weight ratio. For this matter, they are designed with high porosity which makes them sensitive to buckling under compressive loading. This buckling is usually predicted by numerical computations but very few experiments are available to confront these numerical results. Experimentally, the onset of instabilities is usually determined by following the global force applied onto the sample. However, this detection might be hindered by the presence of various defects which may locally trigger the instabilities. A very simple technique is proposed herein to detect instabilities in periodic architectured materials using standard imaging techniques. It is shown to be applicable at a local scale, thereby allowing for a local instability detection.

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Dates et versions

hal-04273660 , version 1 (07-11-2023)

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Martin Poncelet, Christelle Combescure, Fabien Amiot. Detecting bifurcations in 2D periodic metamaterials from images. Materials Letters, 2023, 353, pp.135307 (4). ⟨10.1016/j.matlet.2023.135307⟩. ⟨hal-04273660⟩
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