SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Performance prediction of gas turbine blade with multi-source random factors using active learning-based neural network
11 references·0 citing·36 second hop
Performance prediction of gas turbine blade with multi-source random factors using active learning-based neural network (2024)Performance prediction of gas turbine bla…Review of Geometric Uncertainty Quantification in Gas Turbines (2020)Review of Geometric Uncertain…Recent progress of uncertainty quantification in small-scale materials science (2020)Recent progress of uncertaint…Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019)Surrogate-assisted reliabilit…Reliability-Based Low Fatigue Life Analysis of Turbine Blisk with Generalized Regression Extreme Neural Network Method (2019)Reliability-Based Low Fatigue…Fuzzy Multi-SVR Learning Model for Reliability-Based Design Optimization of Turbine Blades (2019)Fuzzy Multi-SVR Learning Mode…Creep-Based Reliability Evaluation of Turbine Blade-Tip Clearance with Novel Neural Network Regression (2019)Creep-Based Reliability Evalu…Probabilistic analysis method of turbine blisk with multi-failure modes by two-way fluid-thermal-solid coupling (2017)Probabilistic analysis method…Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Taking the Human Out of the L…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…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…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 …Design and Analysis of Computer Experiments (1989)Practical Bayesian Optimization of Machine Learning Algorithms (2012)A Tutorial on Bayesian Optimization (2018)Distribution of Quadratic Forms in Normal Space—Application to Structural Reliability (1990)Reliability analysis of structures by iterative improved response surface method (2016)An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation (2017)Probabilistic Fatigue/Creep Optimization of Turbine Bladed Disk with Fuzzy Multi-Extremum Response Surface Method (2019)Stacking ensemble surrogate modeling method based on decomposed- coordinated strategy for structural low-cycle fatigue life reliability estimation (2025)Estimation of small failure probabilities in high dimensions by subset simulation (2001)System reliability analysis by combining structure function and active learning kriging model (2019)Multidisciplinary design optimization of engineering systems under uncertainty: a review (2022)A survey on machine learning approaches for uncertainty quantification of engineering systems (2025)A new response surface methodology for reliability-based design optimization (2003)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Improved Kriging with extremum response surface method for structural dynamic reliability and sensitivity analyses (2018)Probabilistic framework for reliability analysis of gas turbine blades under combined loading conditions (2023)Machine learning-based enhanced Monte Carlo simulation for low failure probability structural reliability analysis (2025)Non-linear partial least squares response surface method for structural reliability analysis (2017)Dynamic particle swarm optimization-radial function extremum neural network method of HCF probability analysis for compressor blade (2023)Reliability Assessment for Aeroengine Blisks Under Low Cycle Fatigue With Ensemble Generalized Constraint Neural Network (2023)Stochastic Finite Elements: A Spectral Approach (1991)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Nonlinear uncertainty quantification of the impact of geometric variability on compressor performance using an adjoint method (2021)A data-driven robust design optimization method and its application in compressor blade (2023)Investigation on high-dimensional uncertainty quantification and reliability analysis of aero-engine (2023)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Multi-fidelity microstructure-induced uncertainty quantification by advanced Monte Carlo methods (2023)Uncertainty Quantification of Microstructures: A Perspective on Forward and Inverse Problems for Mechanical Properties of Aerospace Materials (2024)A distribution-free approach to inducing rank correlation among input variables (1982)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Uniform Design: Theory and Application (2000)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization6,126 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
  • 2019Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework213 cited
  • 2020Review of Geometric Uncertainty Quantification in Gas Turbines63 cited
  • 2019Reliability-Based Low Fatigue Life Analysis of Turbine Blisk with Generalized Regression Extreme Neural Network Method41 cited
  • 2020Recent progress of uncertainty quantification in small-scale materials science38 cited
  • 2019Fuzzy Multi-SVR Learning Model for Reliability-Based Design Optimization of Turbine Blades28 cited
  • 2019Creep-Based Reliability Evaluation of Turbine Blade-Tip Clearance with Novel Neural Network Regression23 cited
  • 2017Probabilistic analysis method of turbine blisk with multi-failure modes by two-way fluid-thermal-solid coupling21 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work