The slides of the different lectures are available on SUPAERO's LMS. Course with participation of Professors/researchers from SUPAERO, ICA, ONERA
On some vulgarization articles
SLIDES WITH AUDIO
For students not familliar with FEA
Lecture note thanks to Prof Ning and Martins
TUTORIALS on gradient sensitivity C1/C2
TUTORIALS on gradient sensitivity C1/C2
TUTORIALS on TOPOPT C3
ADVANCED TOPOPT (FOR SUPAERO's students ONLY)
A short intro by Prof. MORLIER
Professors Martins and Ning have published a new text book on multidisciplinary design optimization, and they’ve generously decided to give the digital version away for free! There are good lessons on Problem formulation (Section 1.2), comparisons of gradient-based and gradient-free algorithms (Sections 1.4.1-1.4.3), and overview of numerical solver algorithms (Section 3.6), and a great introduction to various MDO concepts (Section 13) — including an introduction to the MAUD equations that underpin OpenMDAO (Section 13.2.6). If you want to learn more about some of the various techniques for taking derivatives of your numerical models, I highly recommend Chapter 6. They’ve provide code and examples from the textbook in a companion github repo. You can learn more about how AD works, test out surrogate modeling methods, or try out a 10 bar truss example. They also have a set of lectures based on the content of the book free on youtube
Go deeper in MDAO by Prof. Morlier
Q&A session
detailed planning with my colleagues of ONERA Introduction MDO/MDA, formulation, google colab, OpenMDAO, sellar problem
More references
Artificial Inteligence for Engineering
Machine Learning in Mechanics thanks to Miguel Bessa
To go deeper in Surrogate Modeling
REFERENCES
Over the year, Thanks to my colleagues of UoM, ONERA, Supaero and Airbus.
"Principles of Optimal Design Modeling and Computation”, P.Y. Papalambros & D.J. Wilde, Cambridge University Press
“Elements of Structural Optimization”, R.T. Haftka & Z. Gurdal, Kluwer
SMO course, Haftka, Florida Institue of Technology
Optimisation structurale et multidisciplinaire P. Duysinx, ULB
Multidisciplinary System Design Optimization, Prof. Olivier de Weck, Prof. Karen Willcox MIT Course Number: ESD.77 / 16.888
Design Optimization Tools : Course Material Pascal Etman, Piet Schreurs, Rob Bastiaans EIT Eindhoven
Engineering Optimization, Fred van Keulen, TU DELFT
Topopt.dk, Topology Optimization, Ole Sigmund , Mechanical Engineering Technical University of Denmark (DTU)
Optimisation de structures, Gregoire Allaire, X
Optimisation numerique, Aleks Janka, Université de Fribourg
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