Introduction to fundamental theoretic assumptions and optimization methods adequate for the design of advanced aerospace structures intended to function in a variety of real operating conditions. Understanding and defining appropriate combinations of input parameters, constraints, and output parameters/goal functions.

Recognition and understanding of the most influential aspects of the engineering problem in question, its modeling and optimization. Adequate choice and rational understanding of the employed optimization methods as well as necessary input and output parameters. Individual work in the form of performing different optimization procedures (including multi-criteria and multidisciplinary). Achieving increased flexibility and development of novel approaches in the design of aerospace structures.

In accordance with the selected research topic.

In accordance with the selected research topic.

There are no mandatory conditions/prerequisites for course attendance.

Classroom, projector, computer (laptop), computational software tools.

Total assigned hours: 65

New material: 30
Elaboration and examples (recapitulation): 20

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 0
Review and grading of the project: 10
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 0
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 0
Project: 70
Final exam: 30
Requirement for taking the exam (required number of points): 30

Rao S: Engineering optimization: theory and practice. John Wiley & Sons, Inc., 2009.; Papalambros P, Wilde D: Principles of optimal design: modeling and computation. Cambridge University Press, 2000.; Weise T: Global Optimization Algorithms – Theory and Application. E-book, 2009.; Okwu MO, Tartibu LK: Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications. Springer, 2021.; Vasiliev VV, Gurdal Z: Optimal Design, Theory and Applications to Materials and Structures. Technomic Publishing Company, Inc., 1999.