University of Luxembourg RUES (Computational Engineering)

University of Luxembourg RUES (Computational Engineering)

Core business

Understanding the behaviour of matter using computational simulation methods including but not limited to; metals, polymers, composites, biomaterials, printed structures generated through additive manufacturing, cementitious materials, electronic textiles and non-linear viscous fluids.

Understanding fracture and damage mechanisms in advanced materials.

  • Materials in severe environmental conditions, e.g. aerospace and marine.
  • Damage tolerance of complex structures.

Multiscale simulation: coupling through the scales from molecular dynamics to the continuum.

  • Design and optimisation at the microscale given macroscale objectives.
  • Microscale simulation of advanced fabric designs.
  • Error estimation and adaptivity for multiscale problems.

Simulating cutting in real-time for surgical simulation.

  • Understanding cutting mechanisms in soft tissues.
  • Contribute to surgical training and assistance.

Simplifying CAD to Analysis transition.

  • Predict the life of structures without meshing or remeshing.
  • Decrease the human effort involved in generating simulation results.

Reduced order models.

  • Simplifying complex systems for real-time simulation, fast engineering feedback and parametric studies.

Uncertainty quantification.

  • Quantifying how uncertainty can affect behaviour of complex engineering systems.
  • Identifying uncertain parameters in non-linear physical systems from experimental results.

Major Materials & Manufacturing projects

  • Soitec SA: for simulation of the SmartCutTM process
  • Rolls-Royce, Bosch and inuTech: Simulation with XFEM
  • Bosch: PhD studentship on SnAgCu solder durability prediction
  • XFEM modelling of multistage hydraulic fracturing
  • Stochastic optimization of fiber-reinforced composites

Technical / technological capabilities

  • Solution of partial differential equations.
  • Continuum mechanics and modelling.
  • Numerical discretisation; finite element methods, isogeometric analysis, meshfree methods, particle methods.
  • High performance computing; specialisation in large scale linear algebra and preconditioning.
  • Reduced order modelling; quasicontinuum methods, projection methods, reduced basis methods.
  • Continuous and discrete optimisation.
  • Numerical analysis and error estimation.
  • Computational geometry.
  • Bayesian uncertainty quantification.

Main customers / collaborations

  • e-Xstream
  • Bosch GmbH
  • Inu-Tech GmbH
  • Rolls Royce S.A.
  • Soitec S.A.

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Paul Heuschling

Creation date




Organisation type

Public Research Organisation


Research Unit in Engineering Sciences
Faculty of Science, Technology and Communication
6, rue Richard Coudenhove-Kalergi
L-1359 Luxembourg


Professeur Stéphane Bordas
Institute of Computational Engineering
Tel: +352 46 66 44 55 67

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