Relatori

6 lectures on: Machine learning approaches in solid mechanics. The lectures explore and critically question the use of machine learning (ML) in solid mechanics applications. They cover common ML techniques and discuss how ML is used to solve PDEs, facilit

6 lectures on: Electro-magneto-mechanics and applications. Electro-magneto-mechanics continuum fundamentals; on well-posedness and material stability; computational frameworks (high order and mixed Hu-Washizu methods); structure preserving time integrator

6 lectures on: Least squares finite element methods. Overview of mixed finite element formulations: Hellinger-Reissner, Hu-Washizu, and least-squares formulations. Detailed treatment of the Least Squares Finite Element Method (LSFEM). Discussion of the a

6 lectures on: Virtual element methods for solid mechanics. Overview of the virtual element method (VEM): Introduction of VEM using trusses and beams – general formulation for two- and three-dimensional solids for linear and nonlinear problems – applicat

6 lectures on: Lattice Boltzmann methods for solid mechanics. Overview of lattice Boltzmann methods. Lattice Boltzmann for linear elastostatics: the multi-relaxation-time collision operator; boundary conditions. Lattice Boltzmann for linear elastodynamic

6 lectures on: Automation of the emerging discretization methods for engineering applications. The lectures focus on aspects of automation of computational modelling. Automatic differentiation-based formulations are introduced for coupled, path-dependent