Micromechanical framework for a 3D solid cohesion model –implementation, validation and perspectives

Sanayei M, Farhat A, Luu LH, Werner L, Rettinger C, Philippe P, Cuéllar P (2022)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2022

Publisher: International Center for Numerical Methods in Engineering

Conference Proceedings Title: particles2021

Event location: Hamburg DE

URI: https://www.scipedia.com/public/Sanayei_et_al_2022a

Abstract

This article presents a solid cohesion model for the simulation of bonded granular assemblies in the frame of 3D discrete element approaches (DEM). A simple viscoplastic cohesion model for 2D geometries is extended to 3D conditions, while its yield criterion is generalized as a hyper-surface in the space of bond solicitations to include torsional moments. The model is then calibrated using experimental results of uniaxial traction at both the microscopic and macroscopic scales with an artificial granular cohesive soil. The paper finally presents some simulated results on the macromechanical sample traction application and briefly discusses the model's current limitations and promising prospects for subsequent works.

Authors with CRIS profile

Lukas Werner Lehrstuhl für Informatik 10 (Systemsimulation) (LSS) Christoph Rettinger Lehrstuhl für Informatik 10 (Systemsimulation) (LSS)

Involved external institutions

Bundesanstalt für Materialforschung und -prüfung (BAM) DE Germany (DE) Aix-Marseille University / Aix-Marseille Université FR France (FR)

How to cite

APA:

Sanayei, M., Farhat, A., Luu, L.H., Werner, L., Rettinger, C., Philippe, P., & Cuéllar, P. (2021). Micromechanical framework for a 3D solid cohesion model –implementation, validation and perspectives. In particles2021. Hamburg, DE: International Center for Numerical Methods in Engineering.

MLA:

Sanayei, Mohammad, et al. "Micromechanical framework for a 3D solid cohesion model –implementation, validation and perspectives." Proceedings of the 7th International Conference on Particle-Based Methods: Fundamentals and Applications, PARTICLES 2021, Hamburg International Center for Numerical Methods in Engineering, 2021.

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