Intended learning outcomes *
FRD - FATIGUE, RELIABILITY AND DESIGN
This course educates computational engineers that contribute to better products with knowledge in solid mechanics. You are exposed to a wide variety of engineering concepts and solutions. Several design exercises gives you abilities to solve industrial problems. The FEM is our tool, mainly Ansys Classic but also Workbench. In optimization and reliability some computations are performed with MatLab.
In FATIGUE, the emphasis is on computer-based FEM-compatible 3D HCF-models that are applicable to general stress histories. Also models for the probability of failure are presented. In RELIABILITY, engineering statistics is covered from the basics to the state-of-the-art: Optimization of structures with many stochastic variables and parameters and with probabilistic constraints. In the DESIGN part of the course, we go from the functionality of structures via FEM-technology to optimization (shape, topology, size..) and robustness/quality.
The course is intended for 2nd year master students who have taken many courses in solid mechanics and who are used to computations with the FEM. Starting from that level, the lecture series present theory and applications, anecdotes, ideas, background and practices regarding industrial problem-solving. There are industrial guest lectures. The course is finalized with project presentations.
All lectures, seminars and presentations are in the Seminar room at the Department of Solid Mechanics.
Mårten Olsson, examiner
During the course a participant should acquire experience and become able to:
- explain the role of solid mechanics modeling and computation in the product development process, in particular in relation to a multitude of failure modes;
- consider also hidden failure modes in the above mentioned situation;
- identify mechanical requirements on components and structures and translate them into a mechanical model that is suitable for computations;
- select appropriate FE-meshes, elements, boundary conditions, material models, etc, for efficient problem solving;
- describe the purpose and ideas of different design strategies;
- use advanced methods for FE-based fatigue design (LCF, HCF and TMF);
- describe different forms of uncertainty and estimate the scatter of stochastic variables;
- illustrate and explain how uncertainty in a problem spread to uncertainty in the system response;
- select an appropriate method for exploration of the design space;
- perform probabilistic design with FEM based on direct Monte Carlo simulation or with a surrogate model (RSM);
- solve an advanced product development problem and communicate the solution in the form of a poster, an oral presentation and a technical report.