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11th Dresden Probabilistic Workshop

Program

October 10 & 11, 2019
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Thursday, October 10, 2019


Time Presentation Lecture
11:00
-
13:00
Registration, Zeuner Bau, Room 255
12:00
-
13:00
Lunch break
13:00
-
13:15
Welcome; R. Mailach; Technische Universität Dresden
13:15
-
13:45
„Data-intensive High Performance Computing at TU Dresden: Combining Computer Science Research with Support for Computational Sciences“
A. Knüpfer
Technische Universität Dresden
Download PDF
13:45
-
14:15
„Deep Gaussian Covariance Network - Machine Learning based on Probabilistic Intelligence“
K. Cremanns, D. Roos
Niederrhein University of Applied Sciences
14:15
-
14:45
„Bayesian Robust Design Optimization using Deep Gaussian Covariance Network“
C. Bogoclu, D. Roos
Niederrhein University of Applied Sciences
14:45
-
15:00
Coffee break
15:00
-
15:30
„Mixed aleatoric-epistemic uncertainty quantification for jet engine applications“
G. Antinori
MTU Aero Engines AG
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15:30
-
16:00
„Meta-model-based Quality Assessment of Sample Estimates“
A. Prots
Technische Universität Dresden
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16:00
-
16:30
„Spectre-UQ: A Computational Environment for Managing Total Uncertainty Quantification of CFD Studies“
E. P. N. Duque
Intelligent Light
19:00 Feldschlößchen Stammhaus

Friday, October 11, 2019


Time Presentation Lecture
09:00
-
09:30
„The Deterministic Model as Part of Probabilistic Analysis: Shortcomings and Potential for Development of CFD for Turbomachinery“
L. Wein
Leibniz Universität Hannover
09:30
-
10:00
„An industry ready approach to the characterization and reduction of manufacturing uncertainties“
S. Albert
NUMECA
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10:00
-
10:30
„Digital Twin - Analysis of Static and Dynamic Geometric Phenomena - From Data Acquisition to the First Insight“
J. Scharfenstein, S. Wallstab-Freitag
GOM
10:30
-
10:45
Coffee break
10:45
-
11:15
„Condition-based classification of compressor blades“
J. Marx
MTU Maintenance Hannover GmbH
11:15
-
11:45
„Comparison of Probabilistic Assessments utilizing Geometric Inputs of Different Quality“
P. Magin
MTU Aero Engines AG
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11:45
-
13:00
Lunch break
13:00
-
13:30
„Efficient stochastic modelling of an axial compressor rotor blades geometrical variability due to manufacturing uncertainties“
M. Gambitta
Brandenburg University of Technology
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13:30
-
14:00
„Comparison of the Elementary-Effects Method and the Coefficient-of-Importance using a One-dimensional Cooling Flow Network“
B. Fiedler
MTU Aero Engines AG
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14:00
-
14:30
„Forecasting the Condition of HPT Parts by using BBN“
D. Giesecke
Technische Universität Braunschweig
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14:30
-
14:45
Coffee break
14:45
-
15:15
„Explanation of Surface Deviations by Manufacturing Modes“
J. Urbano1, D. Bestle1, U. Gerstberger2, M. Meyer2
1Brandenburg University of Technology, 2Rolls Royce Deutschland
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15:15
-
15:45
„Towards the robust aerodynamic shape optimization of compressor blades“
M. Meyer
Rolls Royce Deutschland
15:45
-
16:15
„Probabilistic FE-Analysis of Cooled High Pressure Turbine Blades“
L. Högner
Technische Universität Dresden
16:15 Closing of the workshop; R. Mailach; Technische Universität Dresden

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