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Reduced Order Methods for Computational Mechanics

The course aims to provide the basic aspects of numerical approximation and efficient solution of parametrized; PDEs for computational mechanics problem (heat and mass transfer, linear elasticity, viscous and potential flows) using reduced order methods.

Topics in Computational Fluid Dynamics

  • Introduction to Fluid Mechanics, examples.
  • Constitutive laws
  • Incompressible flows. Navier-Stokes equations
  • Numerical methods for potential and thermal flows
  • Boundary layer theory
  • Thermodynamics effects, energy equation, enthalpy and entropy
  • Vorticity equations
  • Introduction to turbulence
  • Numerical methods for viscous flows: steady Stokes equations
  • Stabilization (SUPG) and inf-sup condition

Topics in Continuum Mechanics

  • Reminders on Linear Algebra and Tensor Calculus
  • Kinematics of deformable bodies
  • Eulerian and Lagrangian descriptions of motion
  • Balance laws of continuum mechanics: conservation of mass, balance of linear and angular momentum, energy balance and dissipation inequality
  •  Constitutive equations
  •  Fluid dynamics: the Navier Stokes equations
  •  Solid mechanics: nonlinear and linearized elasticity
  •  Selected topics from the mechanics of biological systems

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