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Comparison of Several Optimization Strategies for Robust Turbine Blade Design
3 references·9 citing·37 second hop
Comparison of Several Optimization Strategies for Robust Turbine Blade Design (2009)Comparison of Several Optimization Strate…Robust Design Optimization of Gas Turbine Compression Systems (2011)Robust Design Optimization of…Robust Design of Compressor Fan Blades Against Erosion (2006)Robust Design of Compressor F…Computer Experiments for Quality Control by Parameter Design (1990)Computer Experiments for Qual…Multidisciplinary robust optimization approach of fan rotors under structural constraints with blade curvature (2023)Multidisciplinary robust opti…A discrete adjoint framework coupled with adaptive PCE for robust aerodynamic optimization of turbomachinery under flow uncertainty (2023)A discrete adjoint framework …Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model (2022)Efficient aerodynamic analysi…A Robust Blade Design Method based on Non-Intrusive Polynomial Chaos Considering Profile Error (2019)A Robust Blade Design Method …Robust Airfoil Optimization and the Importance of Appropriately Representing Uncertainty (2017)Robust Airfoil Optimization a…Horsetail matching: a flexible approach to optimization under uncertainty (2017)Horsetail matching: a flexibl…Horsetail Matching for Optimization Under Probabilistic, Interval and Mixed Uncertainties (2017)Horsetail Matching for Optimi…Extending Horsetail Matching for Optimization Under Probabilistic, Interval, and Mixed Uncertainties (2017)Extending Horsetail Matching …Hierarchical stochastic metamodels based on moving least squares and polynomial chaos expansion (2010)Hierarchical stochastic metam…Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Designs for Computer Experiments (1989)Economical Experimentation Methods for Robust Design (1991)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)Response Surface Alternatives to the Taguchi Robust Parameter Design Approach (1992)Introduction to Quality Engineering (2008)Robust optimization – A comprehensive survey (2007)Aleatory or epistemic? Does it matter? (2008)The stochastic finite element method: Past, present and future (2008)Reliability based optimization in aeroelastic stability problems using polynomial chaos based metamodels (2015)Reliability analysis of structures using stochastic response surface method and saddlepoint approximation (2016)A sequential metamodel-based method for structural optimization under uncertainty (2020)Quality Engineering Using Robust Design (1991)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive Polynomial Chaos for Gas Turbine Compression Systems Performance Analysis (2010)Wiener's Polynomial Chaos for the Analysis and Control of Nonlinear Dynamical Systems with Probabilistic Uncertainties (2013)Affordable Uncertainty Quantification for Industrial Problems: Application to Aero-Engine Fans (2018)Design and Analysis of Computer Experiments (1989)Practical Implementation of Robust Design Assisted by Response Surface Approximation and Visual Data-Mining (2009)On the flow field and performance of a centrifugal pump under operational and geometrical uncertainties (2018)Lectures on Stochastic Programming (2009)Lectures on Stochastic Programming: Modeling and Theory (2009)Efficient Bilevel Surrogate Approach for Optimization Under Uncertainty of Shock Control Bumps (2020)Interpolation of Spatial Data (1999)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code (2000)Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)An active-learning method based on hierarchical Kriging model for multi-fidelity reliability analysis (2025)Uncertainty‐based robust aerodynamic optimization of rotor blades (2012)Statistical evaluation of performance impact of manufacturing variability by an adjoint method (2018)A dimensionality reduction method for uncertainty study of geometric variations of turbomachinery blades (2024)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis and robust optimization to high-dimensional uncertainties of compressors with active subspace method (2024)
this work references cited by second hop

References

  • 1990Computer Experiments for Quality Control by Parameter Design368 cited
  • 2011Robust Design Optimization of Gas Turbine Compression Systems46 cited
  • 2006Robust Design of Compressor Fan Blades Against Erosion39 cited

Cited by

  • 2010Hierarchical stochastic metamodels based on moving least squares and polynomial chaos expansion33 cited
  • 2017Horsetail matching: a flexible approach to optimization under uncertainty23 cited
  • 2023A discrete adjoint framework coupled with adaptive PCE for robust aerodynamic optimization of turbomachinery under flow uncertainty22 cited
  • 2022Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model20 cited
  • 2019A Robust Blade Design Method based on Non-Intrusive Polynomial Chaos Considering Profile Error20 cited
  • 2023Multidisciplinary robust optimization approach of fan rotors under structural constraints with blade curvature16 cited
  • 2017Robust Airfoil Optimization and the Importance of Appropriately Representing Uncertainty14 cited
  • 2017Extending Horsetail Matching for Optimization Under Probabilistic, Interval, and Mixed Uncertainties12 cited
  • 2017Horsetail Matching for Optimization Under Probabilistic, Interval and Mixed Uncertainties11 cited

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