Numerical Methods Laboratory

NUMERICAL METHODS LABORATORY

Computer simulation

This laboratory is interdisciplinary in nature, as it enables the computer simulation of problems and phenomena in physics, mechanics, fluid dynamics and many other fields. In particular, it is especially useful for solving large-scale, complex problems within the field of civil engineering and other related areas.

This laboratory is interdisciplinary in nature, as it enables the computer simulation of problems and phenomena in physics, mechanics, fluid dynamics and many other fields. In particular, it is especially useful for solving large-scale, complex problems within the field of civil engineering and other related areas.

The laboratory

Research areas

Computational Fluid Dynamics (CFD): Development of high-order methods. Development of high-precision mesh-free methods. Development of numerical methods to calculate iLES. Machine Learning in CFD. Computational Aeroacoustics.

Modelling tumour growth and response to treatment. Personalised tumour predictions obtained through simulations based on clinical and medical imaging data. Digital twins in oncology. Development of mechanistic learning techniques to accelerate tumour prediction and the integration of multi-scale and multi-modal data. Computer models and methods in other fields of predictive medicine.

Modelling and simulation of geological hydrogen storage systems in salt caverns. Stratified formations and salt domes. Thermal, flow and poroelastic phenomena, amongst others. Optimising the management and operation of this type of facility used as mass energy storage systems.

Static and dynamic analysis, structural design and optimisation. High-order sensitivity analysis to optimize engineering design.

Numerical simulation of earthing points used as protection systems in underground electrical substations, through a formulation based on the boundary element method.

Computational mechanics. Development and implementation of numerical methods applied to engineering problems. Development of high-performance code to simulate processes related to computational mechanics. Isogeometric analysis.

Optimized design for support structures in offshore wind power generation facilities. Non-linear analysis of truss structures.

Inverse fluid-structure interaction methods based on NURBS and T-splines. Isogeometric analysis of Kirchhoff-Love shells using T-splines. Solving differential equations in explicit form using T-splines of arbitrary order.

Topological groups.

Effects of dynamic rolling loads on the fatigue analysis of flexible pavements

New hyperbolic models of convection-diffusion equation.

Technical equipment

The laboratory offers all the necessary facilities to perform any simulation or calculation, including statistical and probabilistic analyses, and the use of large parallel computing clusters.