Contents

• Self study (before lecture 1.2): MUDE recap + MUDE additional material

  1. Strong form of the 1D Poisson equation

  2. From strong to weak form

  3. From weak to discrete form

  4. Finite element implementation

  5. Elements and shape functions

  6. Numerical integration

  7. Poisson equation in 2D

  8. Isoparametric mapping

• Lecture 1.1 - Introduction to the module (slides)

  1. Tensor basics

  2. Linear algebra

  3. Tensor calculus

  4. Strong form for linear elasticity

• Lecture 1.2 - MUDE recap, FEM for elastostatics (slides)

  1. Strong form for linear elasticity

  2. From strong to discrete form

Contents

• Lecture 2.1 - Derivation of timoshenko beam elements. Shear locking (slides)

  1. Timoshenko Beam

• Lecture 2.2 - Workshop: Introduction to pyJive (slides)

  1. Workshop: Introduction to pyJive

Contents

• Lecture 3.1 - Nonlinear FEM(slides)

  1. Towards nonlinear problems

  2. Linearized discrete form

  3. Incremental-iterative algorithms

• Lecture 3.2 - Workshop: framemodel, timoshenkomodel(slides)

  1. PyJive workshop: TimoshenkoModel

  2. PyJive workshop: FrameModel

Contents

• Lecture 4.1 - Geometric nonlinarity. Linear buckling analysis (slides)

  1. Geometrically nonlinear problems

  2. PyJive workshop: buckling

• Lecture 4.2 - Arclength, plastic hinges. With workshop (slides)

  1. Incremental-iterative algorithms

  2. Equilibrium path following

  3. PyJive workshop: plastic hinges

Contents

• Lecture 5.1 - Workshop: nonlinear frame analysis

  1. PyJive workshop: stability of a house-shaped frame

• Lecture 5.2 - Introduction to nonlinear material models (slides)

  1. Material non-linearity

Contents

• Lecture 6.1 - Workshop: Linearization and convergence (slides)

  1. Pyjive workshop: NonlinModule

• Lecture 6.2 - Dynamics with finite elements (slides)

  1. Semi-discrete form for elasto-dynamics

  2. Time stepping schemes for elasto-dynamics

  3. Modal Analysis

Contents

• Lecture 7.1 - Workshop: frequency analysis (slides)

  1. PyJive workshop: modal analysis

• Lecture 7.2 - Workshop: transient analysis (slides)

  1. PyJive workshop: Time-dependent analysis

Contents

• Lecture 8.1 - Workshop: hammer test analysis (slides)

  1. PyJive workshop: Reproducing dynamics experiments