We aim to develop more efficient numerical algorithms by making use
of new acceleration hardware platforms to increase the Numerical
Simulation tools capabilities. It has been shown that these tools are
currently suffering two main drawbacks that prevent their full
industrial deployment for massive applications: excessively long
computational times for problems of industrial relevance, and
reliability and accuracy of their solutions.
Our researchers have a long list of projects in cooperation with
industrial partners (see key researchers). Also,
have a very active collaboration with Airbus in numerical
methods for fluid dynamics simulation for aeronautics, as well
as other collaborations with HP.
Furthermore, we also have a strong experience in the application of
numerical methods and simulation in many of the different topics
mentioned above, and our researcher are becoming a reference group for
the industry in this kind of problems. In particular:
Development of CFD solvers faster and robust in steady and
Methods for error estimation and numerical grid refinement to obtain
more accurate numerical solutions with a smaller number of nodes.
Introduction of expert systems in the simulation process to
automatically adjust the initial parameters according to the
characteristics of the mesh and flow.
Pattern recognition applied to aeronautics. Development of highly
accurate methods to detect and extract critical features of the flow
such as vortices and shock waves.
Improving multi-grid technology. Improving the efficiency of these
methods in situations of industrial interest, especially in turbulent
viscous fluid simulations for high values of Reynolds number.
Multidomain spectral methods. Simulation of complex physical
problems, where the set of scales involved is much greater and they
cannot be treated with traditional numerical methods.
Adjoint methods for systems governed by turbulence models. The
development and implementation of continuous and discrete adjoint
approach for different turbulence models.
Development of CFD algorithms tuned to specific hardware.
Development of new numerical methods adapted to the specific
characteristics of HW.
Development of mathematical models for coupled problems in
Development of advanced constitutive equations in geomechanics,
accounting for complex phenomena such as liquefaction and degradation by
Development of Finite Element and SPH models for the non linear,
coupled behaviour of geomaterials and geostructures.
Application of models to marine structures foundations
Development of models for fluidized geomaterials: simulation of fast
catastrophic landslides and avalanches using the SPH method.