Syllabus for Structural Optimisation

Learning outcomes

On completion of the course the student shall be able to:

• identify different classes of structural optimization addressing sizing, shape, and topology,
• explain the concept of design variables, constraints, and objective functions in anoptimization problem,
• formulate engineering design problems for simple load-bearing structures as optimization problems,
• implement optimization algorithms in Python,
• numerically solve simple structural optimization problems.

Content

Objective functions, constraints, different optimization algorithms. numerical implementation and problem solving.

Instruction

Lectures, laboratory work, project work.

Assessment

Written report of project work (5 credits).

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.