Computational & Multiscale Mechanics of Materials

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Welcome the CM3 lab's page

The Computational & Multiscale Mechanics of Materials (CM3) laboratory is part of the Aerospace and Mechanical Engineering Department at the University of Liège.

• Quantum Computing
  • Quantum Annealing Finite Element Code
• Data-driven approaches in mutli-scale analyzes
  • Deep Material Networks from the interactions viewpoint;
  • Mean-Field-based Deep Material Networks for woven composites;
  • Stochastic Deep Material Network;
  • Recurrent Neural Network-accelerated multi-scale model for elasto-plastic heterogeneous materials;
  • Self-Consistent Recurrent Neural Network for multi-scale simulations;
  • Recurrent neural network with dimesionality reduction and breakdown;
  • Multi-scale optimisation of meta-materials;
  • Sequential Bayesian Inference of complex model parameters;
  • Bayesian inference of constitutuve and multi-scale models parameters;
• Complex constitutive models for failure prediction under complex loading states
  • Nonlocal approach of ductile failure incorporating void growth, internal necking, and shear dominated coalescence mechanisms;
  • Ductile failure of High Entropy Alloys;
  • Damage-enhanced viscoelastic-viscoplastic finite strain model for epoxy resin with length scale effects;
  • Carbon-fiber reinforced highly crosslinked epoxy analysis;
  • Finite-strain thermomechanical quasi-nonlinear-viscoelastic viscoplastic model for thermoplastics;
• Homogenization & Multi-scale methods
  • Instabilities accross the scales: Computational Homogenization of cellular materials;
  • Second order homogenization without RVE size effect: Computational Homogenization of metamaterials;
  • Incremental-secant Mean-Field Homogenization for elasto-visco-plastic composite materials;
  • Incremental-secant Mean-Field Homogenization for finite strains;
  • Non-local damage-enhanced Mean-Field Homogenization for composite laminates;
  • Non-Local Damage & Phase Field-Enhanced Mean-Field-Homogenization for Laminates & Woven Composites;
  • Stochastic homogenization of composite materials;
  • Stochastic 3-Scale method for polycrystalline materials;
  • Multi-scale failure of polycrystalline films;
  • DG-based second-order computational homogenization for cellular structure buckling anlyses ;
  • Stiction of MEMS;
• Fracture Mechanics:
  • DG-based micro-meso fracture of composite materials;
  • Carbon-fiber reinforced highly crosslinked epoxy analysis;
  • Non-local damage-enhanced Mean-Field Homogenization for composite laminates failure ;
  • Multi-scale failure of polycrystalline films;
  • Fracture of thin structures;
  • Elastic damage to crack transition;
  • Ductile Gurson-Thomason damage to crack transition;
• Grain-boundary studies:
  • Study of nano-voids effects in quasi-continuum model of a grain boundary;
  • Quasi-continuum models of gain-boundary sliding and of nanoindentation in two-scale analyses of nano crystalline solids;
• Smart composite materials:
  • DG implementation of electro-thermo-mechanical coupling;
  • Study of shape memory composite materials.

Communications

Please visit MOAMMM

• Multi-scale Optimisation for Additive Manufacturing of fatigue resistant shock-absorbing MetaMaterials - MOAMMM
• Project conducted in the context of FET Open - Novel ideas for radically new technologies; part of the European Innovation Council pilot and also known as EIC Pathfinder

E-mail: L.Noels @ ulg.ac.be; Address: University of Liège, CM3 B52, Allée de la découverte 9, B4000 Liège, Belgium