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UTOPIAE - Uncertainty Treatment and OPtimisation In Aerospace Engineering

UTOPIAE is a training and research network funded by the European Commission through the H2020 funding stream.

The main objectives of this research programme are:

To train, by research and by example, 15 Early Stage Researchers (ESR) in the field of Uncertainty Quantification and Optimisation and to become leading independent researchers and entrepreneurs that will increase the innovation capacity of the EU, and to equip them with the skills needed for successful careers in academia and industry, to develop, through the ESR’s individual projects, fundamental mathematical methods and algorithms to bridge the gap between Uncertainty Quantification and Optimisation and between Probability Theory and Imprecise Probability Theory for Uncertainty Quantification, and to efficiently solve high-dimensional, expensive and complex engineering problems.

At DLR, the ESR will be involved in the robust design of a shock bump for natural laminar flow over a wing. The objective is to further develop and use robust and reliability-based optimisation techniques to design a shock bump that is less sensitive to small random changes in onflow conditions (operational conditions) and geometrical uncertainties, like manufacturing tolerances or degradation, in order to maintain natural laminar flow (NLF).

ESR Projects

ESR15 DLR

Project title: Robust design of a shock bump for natural laminar flow over a wing

Objectives: To use robust and reliability-based optimisation to design a shock bump which is less sensitive, to small random changes in onflow conditions (operational conditions) and geometrical uncertainties, like manufacturing tolerances or degradation, in order to maintain natural laminar flow (NLF); To develop a suitable parameterization of the bump in 2D and 3D; To investigate different measures of robustness suitable in the context of NLF; To define input PDFs for the uncertain parameters in shock bump and NLF models; To make use of efficient nonintrusive UQ methods for many uncertainties, including gradient-enhanced surrogate models and reduced-order models;

Expected Results: A demonstration of the efficiency and effectiveness of the robust design methodology on 2D (airfoil) cases and 3D wings in the transonic flow regime; A validated software framework for robust design;
Planned Secondments: INRIA (M9-12) on robust and reliability-based design optimisation algorithms; Airbus GmbH (M30-33) to apply the developed process.

• http://utopiae.eu/about/utopiae-training/utopiae-projects/

Duration

2017 – 2021
Funded by: HORIZON 2020

Partners

• ESTECO (Italy) 
• University of Strathclyde (Scotland, UK) – Coordinator ​
• INRIA Bordeaux Sud-Ouest (France)
• CIRA, Italian Aerospace Research Center (Italy)
• Politecnico di Milano (Italy)
• Jožef Stefan Institute (Slovenia)
• Cologne University of Applied Sciences (Germany)
• University of Durham (England, UK)
• Ghent University (Belgium)
• Von Karman Institute (Belgium)
• DLR, Institute of Aerodynamics and Flow Technology (Germany)
• National Physical Laboratory (England, UK)
• Alenia Aermacchi S.p.A (Italy)
• Airbus Operations Gmbh (England, UK)
• Stanford University (USA)

Website

http://utopiae.eu