4.6 Article

The particle finite element method for transient granular material flow: modelling and validation

Journal

COMPUTATIONAL PARTICLE MECHANICS
Volume 8, Issue 1, Pages 135-155

Publisher

SPRINGER INT PUBL AG
DOI: 10.1007/s40571-020-00317-6

Keywords

Particle finite element method; Transient granular material flow; Constitutive modelling; Strain-rate-dependent strength; Digital image correlation

Funding

  1. Lulea University of Technology
  2. Horizon 2020 Project Development of smart and flexible freight wagons and facilities for improved transport of granular multimaterials, the European Commission [636520]
  3. Project HARSHWORK, KIC RawMaterials [17152]
  4. H2020 Societal Challenges Programme [636520] Funding Source: H2020 Societal Challenges Programme

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The study presents a numerical tool for modeling dense transient granular material flow, validated against experiments. Granular materials are modeled as continuous materials using two different constitutive models. The numerical model accurately predicts the in-plane velocity field during the collapse of granular material columns, in agreement with experimental results.
The prediction of transient granular material flow is of fundamental industrial importance. The potential of using numerical methods in system design for increasing the operating efficiency of industrial processes involving granular material flow is huge. In the present study, a numerical tool for modelling dense transient granular material flow is presented and validated against experiments. The granular materials are modelled as continuous materials using two different constitutive models. The choice of constitutive models is made with the aim to predict the mechanical behaviour of a granular material during the transition from stationary to flowing and back to stationary state. The particle finite element method (PFEM) is employed as a numerical tool to simulate the transient granular material flow. Use of the PFEM enables a robust treatment of large deformations and free surfaces. The fundamental problem of collapsing rectangular columns of granular material is studied experimentally employing a novel approach for in-plane velocity measurements by digital image correlation. The proposed numerical model is used to simulate the experimentally studied column collapses. The model prediction of the in-plane velocity field during the collapse agrees well with experiments.

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