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Multidisciplinary Design Optimization

Course 820085430 in SS 2023

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Chair of Product Development and Lightweight Design (Prof. Zimmermann)
Lecturers Nicola Barthelmes
Eduardo Rodrigues Della Noce
Akhil Sathuluri
Markus Zimmermann
Dates Fri, 11:30–13:00, MW 0350

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks Introduction to the theory and practice of multidisciplinary design optimization, with examples from different fields of engineering, such as structural mechanics. We aim to answers questions such as: - How can classical design tasks of the engineer be formulated as mathematical optimization tasks and how are they solved using mathematical optimization algorithms? - What characterizes an optimal design and how must the modeling of the design task be formulated in order to find this optimum efficiently? - What is an admissible design and how can it be ensured that the optimization process returns only physically meaningful valid designs? - How can one deal with multiple design goals, which may have conflicts between each other, and multiple disciplines, all of which may influence one another? Fundamentals of mathematical optimization algorithms used to solve such tasks in practice are presented and their interaction with model-based simulation is explained. The learning content of the lecture will be implemented on simplified but still practical examples in the computer exercises.
Links Course documents
E-Learning course (e. g. Moodle)
interactive examples
TUMonline entry
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