A benchmark strategy for the experimental measurement of contact fabric - Université Grenoble Alpes Accéder directement au contenu
Article Dans Une Revue Granular Matter Année : 2019

A benchmark strategy for the experimental measurement of contact fabric

Résumé

The mechanics of granular materials can be better understood by experimental measurement of fabric and its evolution under load. X-ray tomography is a tool that is increasingly used to acquire three-dimensional images and thus, enables such measurements. Our previous study on the metrology of interparti-cle contacts revealed that the most common approaches either fail to accurately measure contact fabric or introduce a strong bias. Methods to improve these measurements (i.e., the detection and orientation of contacts) were proposed and validated. This work develops a strategy to benchmark image analysis tools that can be used for the determination of contact fabric from tomographic images. The discrete element method is used to create and load a reference specimen for which the fabric and its evolution is precisely known. Chosen states of this synthetic specimen are turned into realistic images taking into account inherent image properties, such as the partial volume effect, blur and noise. The application of the image analysis tools on these images validates the findings of the metrological study and highlights the importance of addressing the identified shortcomings, i.e., the sys-VáclavŠmilauer woodem.eu, Prague, Czech Republic tematical over-detection of contacts and the strong bias of orientations when using common watersheds.
Fichier principal
Vignette du fichier
20190327_dem2kalisphera.pdf (3.69 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02426147 , version 1 (09-01-2020)

Identifiants

Citer

Max Wiebicke, Edward Ando, Václav Šmilauer, Ivo Herle, Gioacchino Cinno Viggiani. A benchmark strategy for the experimental measurement of contact fabric. Granular Matter, 2019, 21, ⟨10.1007/s10035-019-0902-x⟩. ⟨hal-02426147⟩

Collections

UGA CNRS 3S-R
63 Consultations
281 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More