Abstract

Despite the impressive progresses attained by simulation capabilities and techniques, some challenging problems remain today intractable. These problems, that are common to many branches of science and engineering, are of different nature. Among them, we can cite those related [...]

Abstract

Understanding the failure of brittle heterogeneous materials is essential in many applications. Heterogeneities in material properties are frequently modeled through random fields, which [...]

Abstract

In this paper we present the basics of a novel methodology for the development of simulation-based and augmented learning tools in the context of applied [...]

Abstract

It is well known that model order reduction techniques that project the solution of the problem at hand onto alow-dimensional subspace present difficulties [...]

Abstract

Many harbor applications are based on the solution of linear elliptic agitation problems for many spectral conditions. One of the main goals consists [...]

Abstract

The Parameterized Background Data-Weak (PBDW) method is a non-intrusive, reduced basis, real-time and in-situ data assimilation framework for physical systems modeled by parametrized Partial Differential Equations for steady-state problems. The key idea of the formulation is to [...]