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Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization
8 references·0 citing·33 second hop
Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization (2024)Robust Design Optimization of a Compresso…Multi-fidelity analysis and uncertainty quantification of beam vibration using co-kriging interpolation method (2021)Multi-fidelity analysis and u…Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Survey of Multifidelity Metho…Latin Hypercube Sampling-Based Monte Carlo Simulation: Extension of the Sample Size and Correlation Control (2018)Latin Hypercube Sampling-Base…Surrogate models for uncertainty quantification: An overview (2017)Surrogate models for uncertai…Cokriging for Robust Design Optimization (2012)Cokriging for Robust Design O…Simulation and the Monte Carlo Method (2007)Simulation and the Monte Carl…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)A New Method of Locating the …Computer Experiments for Quality Control by Parameter Design (1990)A new sparse grid based method for uncertainty propagation (2009)Aircraft Robust Trajectory Optimization Using Nonintrusive Polynomial Chaos (2014)Review of Robust Aerodynamic Design Optimization for Air Vehicles (2018)Robust Turbine Blade Optimization in the Face of Real Geometric Variations (2018)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)Uncertainty in cardiac myofiber orientation and stiffnesses dominate the variability of left ventricle deformation response (2019)An active learning method combining deep neural network and weighted sampling for structural reliability analysis (2020)Surrogate-assisted global sensitivity analysis: an overview (2020)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)Modeling, analysis, and optimization under uncertainties: a review (2021)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Improvements to and limitations of Latin hypercube sampling (1998)A study on algorithms for optimization of Latin hypercubes (2005)Correlation control in small-sample Monte Carlo type simulations I: A simulated annealing approach (2009)Minimax and maximin distance designs (1990)Optimization under uncertainty: state-of-the-art and opportunities (2003)Response surface methodology (2010)Bi-fidelity Kriging model for reliability analysis of the ultimate strength of stiffened panels (2023)Navigating the unknown: Tackling high-dimensional challenges in composite damage modeling with bootstrapping and Bayesian uncertainty quantification (2024)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Econometric Tools for Analyzing Market Outcomes (2007)Metamodel-based importance sampling for structural reliability analysis (2013)Everything you need to know about agent-based modelling and simulation (2016)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2007Simulation and the Monte Carlo Method2,454 cited
  • 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
  • 2018Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization1,072 cited
  • 2017Surrogate models for uncertainty quantification: An overview188 cited
  • 2012Cokriging for Robust Design Optimization86 cited
  • 2021Multi-fidelity analysis and uncertainty quantification of beam vibration using co-kriging interpolation method24 cited
  • 2018Latin Hypercube Sampling-Based Monte Carlo Simulation: Extension of the Sample Size and Correlation Control19 cited

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