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Rods, Plates & Shells Hair Dynamics Cloth Granular & Fibrous Inverse modeling

Rods, Plates & Shells

Discrete modeling of slender elastic structures

Hair Dynamics

Simulation of fiber-fiber frictional contacts

Cloth

Cloth simulation with dry frictional contact

Granular & Fibrous

Discrete and continuous modeling of divided matter

Inverse modeling

Inverse design and non-invasive parameter estimation

Overview

With an original positioning across Computer Graphics and Computational Mechanics, the ELAN team strives to model, simulate and understand the physics of visually rich mechanical phenomena, such as cloth folding, ribbon coiling, plant growth, granular flowing, or hair entangling. Target applications encompass the digital entertainment industry (e.g., feature film animation, special effects), as well as virtual prototyping for the mechanical engineering industry (e.g., aircraft manufacturing, cosmetology); though very different, these two application fields require predictive and scalable models for capturing complex mechanical phenomena at the macroscopic scale. An orthogonal objective is the improvement of our understanding of natural physical and biological processes involving slender structures (such as plant growth, granular flows, DNA supercoiling), through active collaborations with soft matter physicists.


The ELAN team is focussed on four main research axes:

  • The numerical modeling of slender elastic structures (rods, ribbons, plates, and shells), especially when prone to large displacements and various boundary conditions, at the origin of buckling
  • The discrete handling of frictional contact problems, within the framework of nonsmooth contact mechanics
  • The modeling, analysis and solving of inverse elastic design problems with applications in non-invasive parameter estimation.
  • The physical understanding of collective behaviours originated from a microstructure (such as a large collection of thin rigid and/or elastic bodies), and the connection between micro and macro physical properties. Typical examples encompass fibrous and granular materials, and mixtures of the two.

To achieve its goals, the team has adopted a transverse approach, striving to master as finely as possible the entire modelling pipeline, from the mechanical modelling of phenomena to the discretisation of related equations, their numerical solving, and their validation thanks to some quantitative confrontation against lab experiments and theories. This modelling approach, purely guided at each step by physical principles, involves a pluridisciplinary combination of scientific skills across Mechanics and Physics, Applied Mathematics, and Computer Science.

AI wave falling over Physics swimmer

What's new

Best paper award at AFIG-EGFR 2019

2020/01/30 2025/02/11Award, Scientific articles

Raphaël Charrondière has received the best paper award at AFIG-EGFR (journées françaises d’informatique graphique) in Marseille in November 2019. The paper, co-authored by Florence, Victor, and Sébastien Neukirch, deals with the numerical modeling of thin elastic ribbons. Congratulations Raphaël!

Raphael Charrondièr

New class on numerical mechanics

2019/09/13 2020/05/18Teaching

We are delivering in fall 2019 a new class to ENS Lyon (Master 2) on numerical mechanics, to teach both fundamental and practical aspects of physics-based simulation.

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