Sensitivity Analysis - Dynardo GmbH

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Initial vs. Optimized Design • n = 7 design variables • N = 76 + 257 + 84 = 417 design evaluations (SA + EA + ARSM) • How robust is the initial design? • How robust is the optimized design? • How reliable is the optimized design? • How large is the influence of surface uncertainties? Output Initial SA EA ARSM Objective 1.0766 0.90034 0.86841 0.86259 η [%] 71.65 80.60 81.26 81.54 Power [MW] 1.208 1.304 1.343 1.329 © 2009 ANSYS, Inc. All rights reserved. 44 ANSYS, Inc. Proprietary
Parameterization Process & Geometry <strong>Sensitivity</strong> <strong>Analysis</strong> Design Optimization Robustness Evaluation © 2009 ANSYS, Inc. All rights reserved. 45 ANSYS, Inc. Proprietary
Page 1 and 2: Optimization and Robustness Evaluat
Page 3 and 4: Motivation Power Plant 1000 MW Effi
Page 5 and 6: Parameterization Process & Geometry
Page 7 and 8: Parameterization of the Geometry De
Page 9 and 10: Parameter Manager Parameter List In
Page 11 and 12: Workbench Interface to optiSLang ©
Page 13 and 14: Parameter Physics, Fluid Flow c0 r
Page 17 and 18: Latin Hypercube and Confidences •
Page 19 and 20: Coefficient of Importance, CoI CoI=
Page 21 and 22: Meta-Model of Prognosis, MoP Respon
Page 23 and 24: Coefficient of Importance, CoI vs.
Page 25 and 26: Anthill Plots Objective initial Goo
Page 29 and 30: Optimization Strategy Sensitivity A
Page 31 and 32: Evolutionary Algorithms (EA) Optimi
Page 33 and 34: Evolutionary Algorithms (EA) best d
Page 35 and 36: Adaptive Response Surface (ARSM)
Page 37 and 38: Initial vs. Optimized Design Input
Page 39: Initial vs. Optimized Design Isotro
Page 43 and 44: Variation of Robust Space • n = 1
Page 45 and 46: Define Objective Limits • Limit s
Page 47 and 48: Evaluation of Histogram Non-robust

Sensitivity Analysis - Dynardo GmbH

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