Symposium

Modeling of Granular Materials
Integrating Data, Computation, and Physics

April 30, 2025, 13:20–18:00

Meridian Hall, Collegium Helveticum

Organized by

Danny van der Haven
Early-Career Fellow 2024–2025

Details

Venue & accessibility info: Meridian Hall, Collegium Helveticum

This is a public event, and participation is free of charge. Please register your interest in attending.
Please note that this preliminary registration will not be followed by any correspondence from our side. Seating is allocated on a first-come, first-served basis.

The symposium is followed by a small reception.

The complexity of granular matter has long eluded any straightforward theory or computational model. As a consequence, predictions of the flow and mechanics of materials such as sand remain incredibly difficult. During this international symposium, various experts will present recent advances on the modeling of granular materials, including perspectives from physics and numerical methods, but also the calibration thereof and the integration of data-driven methodologies.

This event will be preceded by a meeting of the Open Network on Discrete Element Method Simulations (ON-DEM), an EU-COST action, from April 28–30.

Program

13:20	Opening & welcome remarks By the organizer Danny van der Haven and the Collegium's directorate.
	Insights in Granular Flow and Failure Panel 1
13:30	Micromechanical Insights for Understanding and Modeling Cyclic Liquefaction in Soils Mahdi Taiebat Collegium Helveticum & University of British Columbia, CA
14:00	Phase Transition in Granular Systems Dalila Vescovi Politecnico di Milano, IT
14:30	Modeling Compressible and Cohesive Granular Flows with Elasto-Viscoplasticity Johan Gaume Institute for Snow and Avalanche Research (WSL), CH
15:00	Coffee break
	Integrating Data Science Panel 2
15:30	From Digital Twins to Physics-Informed Data-Driven Modeling of Granular Materials Konstantinos Karapiperis École Polytechnique Fédérale de Lausanne (EPFL), CH
16:00	Multi-Scale Modeling for Thermo-Mechanical Analysis of Granular Materials A Data-Driven Approach Rafael Rangel University of Twente, NL
16:30	Iterative Bayesian Framework for DEM Simultaneous Learning of Physics-Based Parameters and LSTM Surrogates Hongyang Cheng University of Twente, NL
17:00	Coffee break
	Broader Perspectives Panel 3
17:15	LS-DEM Guided Analysis of Geotechnical Tests David Perozzi ETH Zurich, CH
17:35	Efficient Hydromechanical Couplings with Enough, Just Enough, Physics Bruno Chareyre Grenoble Institute of Technology, FR
18:00	Closing remarks Followed by a small reception.

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Discover more

Saving Sand
Upscaling Predictions of Grainy Materials for Sustainability

Danny van der Haven

Fellow Project

Program

Opening & welcome remarks

Insights in Granular Flow and FailurePanel 1

Micromechanical Insights for Understanding and Modeling Cyclic Liquefaction in Soils

Phase Transition in Granular Systems

Modeling Compressible and Cohesive Granular Flows with Elasto-Viscoplasticity

Coffee break

Integrating Data SciencePanel 2

From Digital Twins to Physics-Informed Data-Driven Modeling of Granular Materials

Multi-Scale Modeling for Thermo-Mechanical Analysis of Granular MaterialsA Data-Driven Approach

Iterative Bayesian Framework for DEMSimultaneous Learning of Physics-Based Parameters and LSTM Surrogates

Coffee break

Broader PerspectivesPanel 3

LS-DEM Guided Analysis of Geotechnical Tests

Efficient Hydromechanical Couplings with Enough, Just Enough, Physics

Closing remarks

Discover more

Saving Sand Upscaling Predictions of Grainy Materials for Sustainability

Insights in Granular Flow and Failure
Panel 1

Integrating Data Science
Panel 2

Multi-Scale Modeling for Thermo-Mechanical Analysis of Granular Materials
A Data-Driven Approach

Iterative Bayesian Framework for DEM
Simultaneous Learning of Physics-Based Parameters and LSTM Surrogates

Broader Perspectives
Panel 3

Saving Sand
Upscaling Predictions of Grainy Materials for Sustainability