This thesis presents an efficient methodology to couple Model Order Reduction techniques within the framework of geophysical probabilistic inversion problems. Accurate models of the interaction between Earth inner processes ...

Uncertainty quantification is important in assessing and predicting the performance of complex engineering systems and processes, especially in the absence of adequate experimental or real-world data. With the increase ...

Les proves de xoc a la indústria automotriu són essencials per verificar l'equip de seguretat d'un vehicle i, per tant, són extremadament exigents. Moltes variables, que sorgeixen per les toleràncies de fabricació, causen ...

The finite element method is a valuable tool for simulating complex physical phenomena. However, any finite element based simulation has an intrinsic amount of error with respect to the exact solution of the selected ...

A significant part of the current research efforts in computational mechanics is focused on analyzing and handling large amounts of data, exploring high dimensional parametric spaces and providing answers to increasingly ...

The latest monitoring and asset management technologies for large infrastructures involve digital representations that integrate information and physical models, exist in parallel to the real-life structures, and are ...

Se plantea con motivo de la construcción de la autovía Pamplona Logroño y dentro de las actuaciones que hay que llevar a cavo en la red local de carreteras para conectarse con la nueva infraestructura el realizar un ...

The design of offshore power stations (for wind, wave or tidal energy generation) requires assessing their environmental impact. In particular, it is of the major importance to predict the impact of the generated subsea ...

El objetivo de esta tesis es profundizar en el conocimiento de la contaminación atmosférica estudiando el proceso de transporte de los contaminantes una vez que entran en contacto con la atmósfera. Para simular este proceso ...