Design Optimization
7.5 ECTS credits- Size and topology optimization, design and state variables, objective function, design constraints
- Basics of convex programming
- Gradient-based optimization, steepest descent, Newton’s method, linear and quadratic programming (LP & QP), interior point methods, sequential LP & QP, convex linearization (ConLin), method of moving asymptotes (MMA)
- Multi-objective design optimization, Pareto front, worst-case optimization
- Practical consideration for topology optimization of industrial-scale problems
Progressive specialisation:
A1N (has only first‐cycle course/s as entry requirements)
Education level:
Master's level
Admission requirements:
Finite Element Methods, 7.5 ECTS credits, Solid Mechanics, 7.5 ECTS credits, plus upper secondary level English 6, or equivalent
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Master in Mechanical Engineering - Specialization Data-driven Mechanical Engineering (studied during year 1)