Public documents & Dissemination

UMRIDA - Uncertainty Management for Robust Industrial Design in Aeronautics

Contract number: 605036

All documents of UMRIDA, which are publicly available, such as presentations, reports, press releases or project brochures are available here.

Dissemination activities

Please find here a list of UMRIDA dissemination activities, sorted by type of activity.

1. Journal publications and book chapters

Nordström J., Wahlsten M., 2015. Variance reduction through robust design of boundary conditions for stochastic hyperbolic systems of equations. Journal of Computational Physics Volume 282, 1 February 2015, Pages 1–22 (http://www.sciencedirect.com/science/article/pii/S0021999114007499)

Raisee M., Kumar D., Lacor C., 2014. A Nonintrusive Model Reduction Approach for Polynomial Chaos Expansion Using Proper Orthogonal Decomposition. International Journal for Numerical Methods in Engineering (IJNME) (http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291097-0207/earlyview?start=1&resultsPerPage=20)

M. Bauerheim M., Ndiaye A., Constantine P., Moreau S., Nicoud F., 2016. Symmetry breaking of azimuthal thermoacoustic modes: the UQ perspective. Journal of Fluid Mechanics, Cambridge University Press (CUP), 2016, 789, pp.534-566 (https://hal.archives-ouvertes.fr/hal-01279395)

Quagliarella D., Petrone G., Iaccarino G., 2014. Optimization Under Uncertainty Using the Generalized Inverse Distribution Function. Modeling, Simulation and Optimization for Science and Technology. Volume 34 of the series Computational Methods in Applied Sciences pp 171-190 (http://link.springer.com/chapter/10.1007%2F978-94-017-9054-3_10)

Quagliarella D., Petrone G., Iaccarino G., 2014. Reliability-Based Design Optimization with the Generalized Inverse Distribution Function. Modeling, Simulation and Optimization for Science and Technology. Volume 36 of the series Computational Methods in Applied Sciences pp 77-92 (http://link.springer.com/chapter/10.1007%2F978-3-319-11541-2_5)

Brethes G., Allain O., Dervieux A., 2015. Anisotropic mesh adaptive FMG. International Journal for Numerical Methods in Engineering (IJNME)

2. Scientific presentations and proceedings

1st UMRIDA Workshop on Uncertainty Quantification

15-16/04/2015, TU Delft, The Netherlands

Wunsch D., 2015. Sparse probabilistic collocation method applied within the integrated industrial CFD environment FINE

Loyatho X., 2015. Application of UQ to a Falcon Jet Configuration

Rogé G., Loyath X., 2015. Falcon Jet Industrial Challenge 3 (IC-03) Test case description and Application

Ceresola N., Magnino N., 2015. Application of second order Method of Moments to BC-02

Büche D., 2015. Design of Experiments for Uncertainty Analysis of Radial Compressor Components

Vinogradov K., 2015. Robust optimization of the HPT cooling blade in conjugate heat transfer computations

Clarich A., Russo R., 2015. Efficient UQ of large number of Uncertainties: Adaptive Sparse Polynomial Chaos expansion with modeFRONTIER

Savin E., 2015. Non-adapted sparse polynomial surrogates for aerondynamic computations with random inputs

Liu D., Görtz S., 2015. Efficient quantification of geometric uncertainties using gradient-assisted surrogate models and Karhunen-Loève expansion

Liu D., Maruyama D., Görtz S., 2015. Efficient quantification of geometric uncertainties using gradient-assisted surrogate models and Karhunen-Loève expansion

Loseille A., 2015. Mesh adaptive computation of the flow around a Falcon jet

Quagliarella D., 2015. Parametric Study and Characterization of the Sources of Uncertainty in Test Case IC-08 baseline

Pons Prats J., 2015. Multilevel Monte-Carlo Methods applied to the stochastic analysis of aerodynamic problems

Ndiaye A., 2015. Uncertainty quantification study of combustion instabilities in high dimensional and complex systems

Schmelzer M., 2015. Bayesian estimates of RANS model error based on uncertain closure coefficients

Kumar D., 2015. An efficient non-intrusive PC-based reduced order scheme for uncertainty quantification of high dimensional stochastic problems

Marchlewski K., 2015. Analytical Uncertainty Quantification on Kriging meta-model

Wyrozębski M., 2015. Efficient use of 2nd order information in Uncertainty Quantification

Pisaroni M., 2015. Multi-Level Monte Carlo for Uncertainty Quantification in Compressible Aerodynamics

Wahlsten M., 2015. Robust Boundary Conditions for Stochastic Incompletely Parabolic Systems of Equations

Klostermann S., 2015. Surrogate Modelling on airfoil level for 3D DLLM wing

Schmidt R., 2015. Extension of Latin Hypercube samples while maintaining the correlation structure

7. Dresdner-Probabilistik-Workshop,

08-09/10/2014, Dresden, Germany

Wunsch D., Hirsch C., Nigro R., Coussement G., 2014. Propagation of uncertain geometrical fields by means of a sparse collocation method (http://www.probabilistik.de/vortrag/v2014_wunsch.pdf)

Görtz S., 2014. Influence of reduced-order modelling of geometrical uncertainties on statistics (http://elib.dlr.de/92825/)

Lacor C., 2014. A Reduced Basis Approach for Efficient Nonintrusive Polynomial Chaos in CFD (http://www.probabilistik.de/vortrag/v2014_kumar.pdf)

Schmidt R., Voigt M., Vogeler K., 2014. Sensitivity analysis of a two-stage high pressure compressor using an extended Latin hypercube sampling (http://www.probabilistik.de/vortrag/v2014_schmidt.pdf)

ASME Turbo Expos

Wunsch D., Hirsch C., Nigro R., Coussement G., 2014. Quantification of combined operational and geometrical uncertainties in turbo-machinery design. Montreal, Canada, 15-19/06/2015 (http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2428040)

Vinogradov K., 2015. Robust optimization of the conjugate heat transfer of the HPT cooled blade. Montreal, Canada, 15-19/06/2015

Ndiaye A., Bauerheim M., Moreau S., Nicoud F., 2015. Uncertainty quantification of thermoacoustic instabilities in a swirled stabilized combustor. Montreal, Canada, 15-19/06/2015 (http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2428045)

Schmidt R., Voigt M., Vogeler K., Meyer M., 2016. Comparison of two methods for sensitivity analysis of compressor blades. Seoul, South Korea, 13-17/06/2016 (https://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_maschinenwesen/ism/tus/forschung/veroeffentlichungen/veroeffentlichungen2016/2016_schmidt_comparison_of_two_methods_for_sensitivity_analysis_of_compressor_blades)

SIAM Conferences

Nordström N., 2014. Variance reduction by robust design of boundary conditions for stochastic hyperbolic systems of equations. SIAM Conference on Uncertainty Quantification, Savannah, USA, 31/03-03/04/2014 (http://liu.diva-portal.org/smash/get/diva2:761621/FULLTEXT01.pdf)

Nordström N., 2014. Robust Design of Boundary Conditions for Stochastic Incompletely Parabolic Systems of Equations. SIAM Annual Meeting (AN14), Chicago, USA, 07-11/07/2014

Nigro R., Wunsch D., Coussement G., Hirsch C., 2016. Manufacturing Tolerances in Industrial Turbo-Machinery Design. SIAM Conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 05-08/04/2016 (https://www.siam.org/meetings/uq16/uq16_abstracts.pdf)

Clarich A., Russo R., 2016. Innovative methodologies for Robust Design Optimization with large number of uncertainties. SIAM Conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 05-08/04/2016 (https://www.siam.org/meetings/uq16/uq16_abstracts.pdf)

Savin E., 2016. Non-adaptive construction of sparse polynomial surrogates in computational aerodynamics. SIAM Conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 05-08/04/2016 (https://www.siam.org/meetings/uq16/uq16_abstracts.pdf)

Liu D., Maruyama D., Görtz S., 2016. Surrogate-based robust airfoil optimization considering geometrical uncertainties. SIAM Conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 05-08/04/2016 (https://www.siam.org/meetings/uq16/uq16_abstracts.pdf)

Quagliarella D., Iuliano E., 2016. Robust Design Optimization of a Supersonic Natural Laminar Flow Wing-Body. SIAM Conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 05-08/04/2016 (https://www.siam.org/meetings/uq16/uq16_abstracts.pdf)

Laniewski-Wollk L., Wyrozebski M., 2016. Efficient Usage of 2nd Order Sensitivity for Uncertainty Quantification. SIAM Conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 05-08/04/2016 (https://www.siam.org/meetings/uq16/uq16_abstracts.pdf)

Pisaroni M., Nobile F., Leyland P., 2016. Multi Level Monte Carlo for Uncertainty Quantification in Compressible Aerodynamics. SIAM Conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 05-08/04/2016 (https://www.siam.org/meetings/uq16/uq16_abstracts.pdf)

Nordström J., K. Wahlsten M., 2016. An investigation of uncertainty effects in mixed hyperbolic-parabolic problems due to stochastically varying geometry. SIAM Conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 05-08/04/2016 (https://www.siam.org/meetings/uq16/uq16_abstracts.pdf)

1st ECCOMAS Thematic Conference on International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015), Crete Island, Greece, 25-27/05/2015

Kumar D., Raisee M., Lacor C., 2015. An efficient non-intrusive reduced basis approach for uncertainty quantification in CFD (http://www.euforia-web.eu/system/files/docs/VUB_Uncecomp2015_abstract.pdf)

Wahlsten M., Nordström J., 2015. An investigation of uncertainty due to stochastically varying geometry: An initial study (http://liu.diva-portal.org/smash/get/diva2:862689/FULLTEXT01.pdf)

Savin E., Resmini A., Peter J., 2015. Sparse generalized polynomial chaos for non-intrusive uncertainty quantification in aerodynamic computations. 1st ECCOMAS Thematic Conference on International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015), Crete Island, Greece, 25-27/05/2015

ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 05-10/06/2016

Clarich A., 2016. Efficient methodologies for Robust Design Optimization with large number of uncertainties. ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 05-10/06/2016

Maruyama D., Liu D., Görtz S., 2016. An efficient aerodynamic shape optimization framework for robust design of airfoils using surrogate models. ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 05-10/06/2016 (https://www.eccomas2016.org/proceedings/pdf/8838.pdf)

6th. European Conference con Computational Fluid Dynamics (ECFD VI),

Barcelona, Spain, 20-25/07/2014

Clarich A., Russo R., 2014. Reliability-based optimization applying Polynomial Chaos expansion (http://www.wccm-eccm-ecfd2014.org/frontal/Ebook.asp)

Menier V., Loseille A., Alauzet F., 2014. Mesh adaptation for viscous simulations (http://www.wccm-eccm-ecfd2014.org/frontal/Ebook.asp)

Menier V., Loseille A., Alauzet F., 2014. Main issues in anisotropic mesh adaptive FMG (http://www.wccm-eccm-ecfd2014.org/frontal/Ebook.asp)

Lacor C., 2014. Towards an efficient non-intrusive Polynomial chaos approach for high-dimensional stochastic problems using a reduced basis approach (http://www.wccm-eccm-ecfd2014.org/frontal/Ebook.asp)

American Institute of Aeronautics and Astronautics (AIAA) Conferences

Menier V., Loseille A., Alauzet F., 2014. CFD Validation and adaptivity for viscous flow

Simulations. 44th AIAA Fluid Dynamics Conference, AIAA-2014-2925, Atlanta, GA, USA, 16-20/06/2014 (http://dx.doi.org/10.2514/6.2014-2925)

Menier V., Loseille A., Alauzet F., 2015. Multigrid Strategies Coupled with Anisotropic Mesh Adaptation. AIAA Scitech 2015, Jan 2015, Kissimmee, United States, 05-09/01/2015 (https://hal.inria.fr/hal-01113357/document)

Savin E., Resminiy A., Peterz J., 2016. Sparse polynomial surrogates for aerodynamic computations with random inputs. AIAA SciTech 2016 Conference, San Diego, California, 04-08/01/2016 (http://dx.doi.org/10.2514/6.2016-0433)

ERCOFTAC Workshops

Wunsch D., Hirsch C., Nigro R., Coussement G., 2014. Propagation of combined operational and geometrical uncertainties in an integrated CFD design environment by means of a sparse collocation method. ERCOFTAC Workshop on Uncertainty Quantification in Computational Fluid Dynamics, Pisa, Italy, 25-26/05/2014

Pisaroni M., 2015. Multi Level Monte Carlo for Uncertainty Quantification in Compressible. ERCOFTAC International workshop on Uncertainty Quantifiction in CFD, Paris, France, 18-20/05/2015

Other conferences and workshops

Wunsch D., Hirsch C., 2014. Overview and progress of UMRIDA project and potentially several presentations on UQ methods. ANADE workshop on Receptivity and Sensitivity Analyses; Uncertainties and Mesh Adaptation Algorithms, Cambridge, UK, 23-26/09/2014 (http://www2.eng.cam.ac.uk/~mpj1001/papers/ANADE_Workshop_UQ_WunschNigroHirsch_Numeca.pdf)

Wunsch D., Hirsch C., 2014. Uncertainty Management for Robust Industrial Design in Aeronautics - Overall Presentation. 4th EASN Workshop on Flight Physics and Aircraft Design, Aachen, Germany, 27-29/10/2014

Hirsch C., 2015. UMRIDA Project Overview. AERODAYS Conference 2015, London, UK, 20-23/10/2015

Didenko R.A, Vinogradov K.A., 2015. Overview and progress of UMRIDA project and NPO Saturn activities in Unceratiinty Quantification and Robust optimization of the industrial tasks. 2nd International Forum "Innovation.Technology.Producing.", Rybinsk, NPO Saturn, Russia, 23-25/03/2015

Clarich A., Russo R., 2015. Innovative methodologies for robust design optimization with large number of uncertainties using modeFRONTIER. EUROGEN2015, Glasgow, UK, 14-16/09/2015

Quagliarella D., 2015. Uncertainty sources in the baseline configuration for robust design of a supersonic natural laminar flow wing-body. EUROGEN2015, Glasgow, UK, 14-16/09/2015

Menier V., Loseille A., Alauzet F., 2015. Towards a certified model of numerical uncertainty in CFD. 2015 Conference on Modelling Fluid Flow (CMFF'15), Budapest, Hundary, 01-04/09/2015

Bugeda G., Pons-Prats J., 2015. Multilevel Monte-Carlo methods applied to the stochastic analysis of aerodynamic problems. Congress on Numerical Methods in Engineering (CMN 2015), Lisbon, Portugal, 29/06-02/07/2015 (http://www.dem.ist.utl.pt/cmn2015/html/CD-Proceedings/PDF/Papers/CMN_2015_submission_28.pdf)

Raisee M., Kumar D., Lacor C., 2015. Development of a non-intrusive model reduction approach for polynomial chaos representation. International Workshop on Uncertainty Quantification in Fluids Simulation (BOQUSE 2013), Bordeaux, France, 16-18/12/2013

Lacor C., 2014. Efficient uncertainty quantification schemes for handling large number of uncertainties recent development and applications. Francis99- workshop 1, Norwegian University of Science and Technology, Trondheim, Norway, 15/12/2014

Kumar D., 2016. Adjoint based multi-objective shape optimization of a transonic airfoil under uncertainties. 5th International Conference on Engineering Optimization (EngOpt 2016), Brazil, 19-23/06/2016

Łaniewski-Wołłk Ł., 2015. Introduction to Uncertainty Quantification and Robust Design. Workshop on Mesh Movement and Adaptation in Adjoint-based Design, 24-26/06/2015

Pisaroni M., 2015. Continuation MultiLevel Monte-Carlo (C-MLMC) for uncertainty quantification in compressible aerodynamics. International Congress on Industrial and Applied Mathematics (ICIAM) 2015, 10-14/08/2015

Schmidt R., Voigt M., Vogeler K., 2014. Engineering approach for the extension of Latin Hypercube samples while maintaining the correlation structure. 12th International Probabilistic Workshop, Weimar, Germany, 04-05/11/2014

Wunsch D., Nigro R., Coussement R. , Hirsch C., Takekoshi Y., 2015. Uncertainty quantification of simultaneous operational and geometrical uncertainties in turbomachinery design practice. International Gas-Turbine Congress 2015, Tokyo, Japan https://www.researchgate.net/publication/281406498_Quantification_of_Simultaneous_Operational_and_Geometrical_Uncertainties_in_Turbomachinery_Design_Practice)

3. Seminars and Training sessions

NUMECA International User Meetings, Brussels, Belgium, 26-28/10/2015

Wunsch D., 2015. Uncertainty Quantification in FINE

Wunsch D., 2015. Training: Uncertainty Quantification in FINE

ERCOFTAC UQ course

Wunsch D., Hirsch C., 2015. General Introduction to Uncertainty Management and Risk Analysis. ERCOFTAC UQ Course, EDF, Paris, France, 30/11-01/12/2015

Wunsch D., Hirsch C., 2015. Overview of propagation techniques – Application of non-intrusive polynomial chaos/collocation methods. ERCOFTAC UQ Course, EDF, Paris, France, 30/11-01/12/2015

DLR Seminars and Workshops

Liu D., Görtz S., 2014. On approximating large matrices. DLR C²A²S²E brown bag seminar, Germany

Görtz S., Maruyama D., 2014. Robust design: first results. Airbus-DLR workshop on MDO and optimization

Liu D., Maruyama D., Görtz S., 2015. Surrogate-Based Robust Aerodynamic Shape Optimization of Airfoils Considering Geometric. 17. STAB-Workshop

Stanford Center for Turbulence Research Summer Program, Stanford, CA, USA, 06/07-01/08/2014

M. Bauerheim, A. Ndiaye, P. Constantine, G. Iaccarino, S. Moreau, F. Nicoud, 2014. Uncertainty quantification of thermo-acoustic instabilities in annular combustors

Juniper M., Magri L., Bauerheim M. and Nicoud F., 2014. Sensitivity analysis of thermos-acoustic eigenproblems with adjoint methods

Dissemination material

Please find below UMRIDA dissemination material for download.