Uncertainty quantification and robust design optimization applied to aircraft propulsion systems

Uncertainty Quantification for Robust Design

Simulation-based performance prediction has been an active research topic for many years and is now applied for industrial test-cases in all fields of computational mechanics. However, classical methods developed in Computational Fluid Dynamics (CFD) or Computational Structural Mechanics (CSM) usually assume a perfect knowledge of the parameters of the system studied, such as geometry, operatio...

Forward and Backward Uncertainty Quantification in Optimization

This contribution gathers some of the ingredients presented during the Iranian Operational Research community gathering in Babolsar in 2019.It is a collection of several previous publications on how to set up an uncertainty quantification (UQ) cascade with ingredients of growing computational complexity for both forward and reverse uncertainty propagation.

Geometry Based Design Automation Applied to Aircraft Modelling and Optimization

Product development processes are continuously challenged by demands for increased efficiency. As engineering products become more and more complex, efficient tools and methods for integrated and automated design are needed throughout the development process. Multidisciplinary Design Optimization (MDO) is one promising technique that has the potential to drastically improve concurrent design. M...

Scalable Approach to Uncertainty Quantification and Robust Design of Interconnected Dynamical Systems

Development of robust dynamical systems and networks such as autonomous aircraft systems capable of accomplishing complex missions faces challenges due to the dynamically evolving uncertainties coming from model uncertainties, necessity to operate in a hostile cluttered urban environment, and the distributed and dynamic nature of the communication and computation resources. Model-based robust d...

Optimization Under Uncertainty Applied to Heat Sink Design