Skip to content

Legato Team

Computational Mechanics

Menu

  • Home
  • Mission & Projects
    • Medical Simulation
    • Multi-scale methods for fracture
    • Error estimation
    • Model reduction methods for non-linear problems
    • Alleviate the Mesh Burden in Computational Mechanics
    • Multi-Physics / Multi-Field Problems
    • Meshless Methods
    • Moving Boundary Problems
  • People
    • Luxembourg team
    • Cardiff team
    • Associated members
    • Visiting professors
    • Collaborators
    • Post-docs
    • PhD students
    • Alumni
  • Publications
    • Podcasts
    • Press release
  • Resources
    • Software
    • Hardware
  • Media
  • Contacts
  • Seminars

Multi-scale methods for fracture

Crack growth modeling in micropolar elasticity
Crack growth modeling in micropolar elasticity
Discrete models for fibrous materials and their multi-scale equivalents
Discrete models for fibrous materials and their multi-scale equivalents
Energy minimising multi-crack growth in linear-elastic materials using the extended finite element method
Energy minimising multi-crack growth in linear-elastic materials using the extended finite element method
Mechanical Properties of Carbon Nanotube reinforced composites
Mechanical Properties of Carbon Nanotube reinforced composites
Multiscale modeling of FRACTURE
Multiscale modeling of FRACTURE
Multiscale Modeling of Fracture in Soft Matter
Multiscale Modeling of Fracture in Soft Matter
Phase-Field damage modeling of rubbery polymers
Phase-Field damage modeling of rubbery polymers
Size effects in metal plasticity
Size effects in metal plasticity

Upcoming events

  • Lorella Viola: The problem with GPT for the Humanities (and for humanity)

Past events

  • Aubin Geoffre: Gaussian Process Regression with anisotropic kernel for supervised feature selection.
  • Vu Chau: Non-parametric data-driven constitutive modelling using artificial neural networks.
  • Alban Odot: Deformation approximation : Improve your Artificial Neural Network training using the Finite Element Method formulation. A case for static deformations.
  • Onkar Jadhav: Parametric model order reduction with an adaptive greedy sampling approach based on surrogate modeling. An application of the pMOR in financial risk analysis.
  • Lester Mackey: Kernel Thinning and Stein Thinning

Search

Mentions légales

Contact

  • Email
    stephane.bordas@uni.lu
  • Phone
    (+352) 46 66 44 5567
  • Fax
    (+352) 621 131 048
  • Address
    2 Avenue de l'Universite, 4365 Esch-sur-Alzette, Luxembourg
Copyright © 2022 Legato Team. All rights reserved.
Theme: Accelerate by ThemeGrill. Powered by WordPress.
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are as essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
SAVE & ACCEPT