Numerical procedures_1

Page 1: Introduction to FEM

  • Overview of the course on Finite Element Method (FEM), Finite Difference Method, and Sampling Methods.

Page 2: Course Assembly

  • Assembled by Prof. Dr. Ir. Tom Molkens.

  • References include works by:

    • Klaus-Jürgen Bathe – Finite Element Procedures.

    • Andreas Öchsner & Markus Merkel – One-Dimensional Finite Elements.

    • Darrel Pepper & Juan Heinrich – The Finite Element Method: Basic Concept and Applications.

  • Includes lecture notes from various professors at KU Leuven.

Page 3: Table of Contents

  • Course topics:

    1. Introduction and applications in civil engineering.

    2. Formulation.

    3. Shape function.

    4. Matrix stiffness method applied on a tensile bar.

    5. Local to global transformation.

    6. Beam elements.

    7. Equivalent loads.

    8. Plane stress/strain elements.

    9. Plate elements.

    10. Practical reinforcement of slabs.

    11. Finite difference method.

    12. Sampling methods.

Page 4: Objective of Structural Engineering

  • Structural engineering art involves:

    • Molding materials not fully understood into shapes not fully analyzed.

    • Designed to withstand forces that are difficult to assess.

Page 5: Objective of the Course

  • Combine theory and exercises within 12 lessons.

  • Focus on:

    • Understanding basic principles of FEM.

    • Creating correct finite element models.

    • Assessing model restrictions.

    • Developing a critical attitude towards numerical results.

Page 6: Outline of Presentation

  • Topics covered:

    • Physical model and strong formulation.

    • Introduction to Finite Element Method.

    • Application examples.

Page 7: The Physical Model

  • Introduces the physical model relevant to FEM.

    • Key components:

      • Geometry of the domain.

      • Unknowns in the problem.

      • Field equations.

      • Boundary and loading conditions.

      • Initial conditions.

Page 8: The Field Equation

  • Field Equation: Often represented as differential equations.

  • Example equation structure for physical problems.

Page 9: Boundary Conditions

  • Complete problem description requires boundary conditions information.

  • Three main types:

    • Dirichlet: Fixed values.

    • Neumann: Fixed gradients.

    • Cauchy: Linear combination of both.

Page 10: The Strong Formulation

  • The strong formulation entails the set of differential equations and boundary conditions.

  • Solving it across the domain yields the exact solution.

Page 11: Example of Physical Model

  • Example: Circular bar of steel.

    • Geometry: Circular section.

    • External Load: Dead weight.

    • Boundary Conditions: Fixed at the top, free at the bottom.

    • Unknown Quantities: Extension (ΔL), strain (ε), and stress (σ).

Page 12: Field Equations in Example

  • Compatibility, constitutive law, and equilibrium are essential.

  • The equilibrium expression for an infinitesimal slice of the bar is described.

Page 13: Solving the Mathematical Problem

  • Steps to introduce boundary conditions.

  • Factors like displacements and equations to derive unknown constants.

Page 14: Solution of Example

  • Resulting displacement equation and expressions for strain and stress fields.

  • Displacement field's quadratic distribution is analyzed.

Page 15: Graphical Representation

  • Various graphical representations included to visualize the results and methodologies.

Page 16: Conclusion from Example

  • Strong formulation yields exact solutions in simple cases, but FEM is necessary for complex scenarios.

Page 17: Need for Computational Methods

  • Engineering problems' complexity often limits analytical solutions.

  • Need for efficient computational solutions in dealing with various boundary conditions and material behavior.

Page 18: Types of Computational Methods Required

  • Addressing complex geometries, loading cases, and non-linear material properties.

Page 19: Other Factors in Need for Computational Methods

  • Addressing imperfections and interactions with environmental factors.

Page 20: Experimental Needs in Research

  • Experimentation is cost-intensive; computational modeling aids in deriving design models with high accuracy.

Page 21: Conclusion

  • The importance of approximate solutions in FEM for differential equations of physical systems.

  • Need for controlled errors in solutions to maintain reliability.

Page 22: Historical Context of FEM

  • A brief historical overview from its inception at Boeing for aircraft design in 1953.

  • Expanded applications in civil engineering and other fields post-1960.

Page 23: Process of Finite Element Method

  • Key stages outline:

    • Discretizing domain into elements.

    • Establishing governing equations.

    • Assembling equations for the entire system.

Page 24: Finite Element Model Simplification

  • Highlights on how to streamline the model for computational efficiency.

Page 25: Types of Elements in FEM

  • Various element dimensions and types:

    • 1D for bars, 2D for triangles and rectangles, 3D for bricks, etc.

Page 26: Conclusion on Applications

  • FEM is popularly applied in diverse engineering problems due to its versatility and practical application.