The objective of Multidisciplinary Design Optimization (MDO) Competence Center is to address three major industrial challenges: shortening the design and development cycle, the efficient command of products for their entire life cycle through the interconnection of systems and digital continuity, and finally, accelerating the introduction of new technologies in products. It is therefore necessary to develop an ambitious conception and simulation program.
The activities of the competence center are thus dedicated to the development of process automation technologies encompassing a wide range of disciplines and parameters, as well as the smooth reconfiguration of these processes. It also develops robust and efficient multidisciplinary optimization methodologies that can be scaled to industrial applications. Finally, it is setting up a software platform for a user-friendly use of MDO.
While the scope of application in the center is that of designing aircraft, generic developments are and can be adapted to other fields – automobile, naval, energy – and even more remote applications such as healthcare, and other systems, like means of production.
- Generic MDO methodologies. MDO formulations (MDF, IDF, bi-level formulation family) and algorithms (experimental plan, coupling, optimization)
- Methodologies for resolving optimization problems with mixed conception variables (continuous and discrete) for example in the framework of the structure optimization.
- New substitution models using machine learning techniques.
- Methodologies for taking into account uncertain parameters in MDO processes.
- MDO-MBSE methodology based on system engineering to formalize and grasp the conception of complex systems, for example during the global design stage of the aircraft.
 Model-Based System Engineering
GEMS – the Python library and the mathematical kernel of the platform – proposes a set of MDO formulation and automatically creates the MDO process map depending on the selected formulation. GEMS proposes interfaces to algorithms libraries (creation of experiment plans, coupling, optimization), substitution model libraries, post-processing libraries and visualization capacities.
Over and above GEMS, the platform offers services for creating and executing MDO scenarios in parallel and distributed across several machines, for managing in configuration these processes, and for helping the user (verification of data entry, process supervision, analysis of results).
Head of Multidisciplinary Design Optimization Competence Center
- New MDO methodologies.
- New Generic Engine for MDO Scenarios (GEMS) software (Python library) which enables the automatic creation of MDO processes.
- User-friendly MDO software platform for researchers (Python interface) and industrialists (graphic interface).
- Demonstrations using test cases that simulate industrial constraints.
- Supports for the transfer of results: videos, training, themed workshops.
- Thesis reports, scientific publications, communication at conferences.
Renan Leroux defended his thesis on simulation system design methodology in Extended Enterprise, based on model-driven system engineering
Antoine Casadebaigt defended his thesis on Oxidation behaviour of Ti-6Al-4V titanium alloy fabrication by Additive Manufacturing.
[Portrait 11] Julien Baclet, systems engineer, MBSE modeling expert
IRT Saint Exupéry team won 2 paper awards @ERTS2020 congress!
Pierre-Jean Barjhoux defended his thesis on large scale structural optimization with categorical and continuous mixed design variables
[Portrait 08] Nesrine Badache, R&D engineer in model-based systems engineering (MBSE)
[Portrait 05] François Gallard, aeronautical research engineer and multidisciplinary optimization (MDO) architect
IRT PhD students visited aerospace companies in Bordeaux