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Reliability-based design optimization of key components in the ball screw feed system
16 references·0 citing·45 second hop
Reliability-based design optimization of key components in the ball screw feed system (2025)Reliability-based design optimization of …Unified reliability-based design optimization with probabilistic, uncertain-but-bounded and fuzzy variables (2023)Unified reliability-based des…Reliability-based design optimization of the spiral water jacket for motorized spindle (2023)Reliability-based design opti…Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems (2022)Efficient decoupling-assisted…An efficient extreme value moment method combining adaptive Kriging model for time-variant imprecise reliability analysis (2022)An efficient extreme value mo…An accelerated active learning Kriging model with the distance-based subdomain and a new stopping criterion for reliability analysis (2022)An accelerated active learnin…A new sampling approach for system reliability-based design optimization under multiple simulation models (2022)A new sampling approach for s…Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis (2021)Hybrid enhanced Monte Carlo s…Reliability-based optimisation for offshore structures using saddlepoint approximation (2020)Reliability-based optimisatio…Multi-Surrogate Collaboration Approach for Creep-Fatigue Reliability Assessment of Turbine Rotor (2020)Multi-Surrogate Collaboration…Hybrid metamodel of radial basis function and polynomial chaos expansions with orthogonal constraints for global sensitivity analysis (2020)Hybrid metamodel of radial ba…Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019)Surrogate-assisted reliabilit…Polynomial Chaos Expansion for Probabilistic Uncertainty Propagation (2017)Polynomial Chaos Expansion fo…Optimisation of tensile membrane structures under uncertain wind loads using PCE and kriging based metamodels (2017)Optimisation of tensile membr…A hybrid chaos control approach of the performance measure functions for reliability-based design optimization (2014)A hybrid chaos control approa…Application of kriging method to structural reliability problems (2004)Application of kriging method…Directional methods for structural reliability analysis (2000)Directional methods for struc…On the Experimental Attainment of Optimum Conditions (1951)A fast and efficient response surface approach for structural reliability problems (1990)On the Experimental Attainment of Optimum Conditions (1992)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Metamodel-based importance sampling for structural reliability analysis (2013)Support vector machine in structural reliability analysis: A review (2023)Exact and Invariant Second-Moment Code Format (1974)A New Study on Reliability-Based Design Optimization (1999)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)A new directional stability transformation method of chaos control for first order reliability analysis (2016)A Comparative Study of Metaheuristic Algorithms for Reliability-Based Design Optimization Problems (2020)Modeling, analysis, and optimization under uncertainties: a review (2021)Probability Concepts in Engineering Planning and Design (1975)Narrow Reliability Bounds for Structural Systems (1979)The Number Theoretical Method in Response Analysis of Nonlinear Stochastic Structures (2006)Adaptive radial-based importance sampling method for structural reliability (2007)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Stochastic Finite Elements: A Spectral Approach (1991)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Structural Reliability Analysis and Prediction (2017)A sequential metamodel-based method for structural optimization under uncertainty (2020)Reliability-based design optimization of fluid-conveying pipeline structure subjected to in-service loadings (2024)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)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 general procedure for first/second-order reliabilitymethod (FORM/SORM) (1999)A new response surface methodology for reliability-based design optimization (2003)Hybrid Analysis Method for Reliability-Based Design Optimization (2003)A belief Hellinger distance for D–S evidence theory and its application in pattern recognition (2021)Dependency effect on the reliability-based design optimization of complex offshore structure (2022)A reliability-based design and optimization strategy using a novel MPP searching method for maritime engineering structures (2023)Response surface method using vector projected sampling points (1997)REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)A novel learning function for adaptive surrogate-model-based reliability evaluation (2023)Reliability analysis—a review and some perspectives (2001)A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies (2023)Improved dynamic design method of ballasted high-speed railway bridges using surrogate-assisted reliability-based design optimization of dependent variables (2023)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation (2023)RBIK-SS: A parallel adaptive structural reliability analysis method for rare failure events (2023)A new discrepancy for sample generation in stochastic response analyses of aerospace problems with uncertain parameters (2024)
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References

  • 2004Application of kriging method to structural reliability problems709 cited
  • 2000Directional methods for structural reliability analysis278 cited
  • 2021Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis242 cited
  • 2019Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework213 cited
  • 2014A hybrid chaos control approach of the performance measure functions for reliability-based design optimization198 cited
  • 2020Reliability-based optimisation for offshore structures using saddlepoint approximation49 cited
  • 2022Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems43 cited
  • 2022An accelerated active learning Kriging model with the distance-based subdomain and a new stopping criterion for reliability analysis42 cited
  • 2023Unified reliability-based design optimization with probabilistic, uncertain-but-bounded and fuzzy variables42 cited
  • 2017Optimisation of tensile membrane structures under uncertain wind loads using PCE and kriging based metamodels36 cited
  • 2022An efficient extreme value moment method combining adaptive Kriging model for time-variant imprecise reliability analysis34 cited
  • 2020Multi-Surrogate Collaboration Approach for Creep-Fatigue Reliability Assessment of Turbine Rotor30 cited
  • 2023Reliability-based design optimization of the spiral water jacket for motorized spindle

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23 cited
  • 2022A new sampling approach for system reliability-based design optimization under multiple simulation models22 cited
  • 2017Polynomial Chaos Expansion for Probabilistic Uncertainty Propagation22 cited
  • 2020Hybrid metamodel of radial basis function and polynomial chaos expansions with orthogonal constraints for global sensitivity analysis20 cited
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