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Generative data-physics fusion for hierarchical reliability assessment
7 references·0 citing·33 second hop
Generative data-physics fusion for hierarchical reliability assessment (2026)Generative data-physics fusion for hierar…Cascade sampling-driven block mapping for coupled reliability evaluation of turbine cooling systems (2025)Cascade sampling-driven block…Cascade ensemble learning for multi-level reliability evaluation (2024)Cascade ensemble learning for…Structural dynamic reliability analysis: review and prospects (2022)Structural dynamic reliabilit…Time and space-variant system reliability analysis through adaptive Kriging and weighted sampling (2021)Time and space-variant system…A unified fatigue reliability-based design optimization framework for aircraft turbine disk (2021)A unified fatigue reliability…Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks (2020)Probabilistic modeling of unc…Deep learning for high-dimensional reliability analysis (2019)Deep learning for high-dimens…Exact and Invariant Second-Moment Code Format (1974)Stochastic Finite Elements: A Spectral Approach (1991)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis (2021)AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis (2021)A survey on machine learning approaches for uncertainty quantification of engineering systems (2025)On Latin hypercube sampling for structural reliability analysis (2002)Recent advances in reliability analysis of aeroengine rotor system: a review (2021)EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis (2022)Intelligent-inspired framework for fatigue reliability evaluation of offshore wind turbine support structures under hybrid uncertainty (2024)Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty (2016)AK-SYSi: an improved adaptive Kriging model for system reliability analysis with multiple failure modes by a refined U learning function (2018)Vectorial surrogate modeling approach for multi-failure correlated probabilistic evaluation of turbine rotor (2022)A reliability-based design and optimization strategy using a novel MPP searching method for maritime engineering structures (2023)Uniform Design: Theory and Application (2000)The PHI2 method: a way to compute time-variant reliability (2003)An adaptive parallel learning dependent Kriging model for small failure probability problems (2022)A comparative study for adaptive surrogate-model-based reliability evaluation method of automobile components (2023)AK-HR : An efficient adaptive Kriging-based n-hypersphere rings method for structural reliability analysis (2023)Importance sampling in structural systems (1989)Estimation of small failure probabilities in high dimensions by subset simulation (2001)A critical appraisal of reliability estimation procedures for high dimensions (2004)A novel hybrid adaptive framework for support vector machine-based reliability analysis: A comparative study (2023)Adaptive vectorial surrogate modeling framework for multi-objective reliability estimation (2023)Random variables, joint distribution functions, and copulas (1973)Response surface method using vector projected sampling points (1997)Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis (2021)A new active learning surrogate model for time- and space-dependent system reliability analysis (2024)Distributed-collaborative surrogate modeling approach for creep-fatigue reliability assessment of turbine blades considering multi-source uncertainty (2024)Enhanced support vector machine-based moving regression strategy for response prediction and reliability estimation of complex structure (2024)A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower (2022)A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile (2023)Kriging-assisted hybrid reliability design and optimization of offshore wind turbine support structure based on a portfolio allocation strategy (2024)
this work references cited by second hop

References

  • 2020Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks208 cited
  • 2019Deep learning for high-dimensional reliability analysis117 cited
  • 2022Structural dynamic reliability analysis: review and prospects71 cited
  • 2024Cascade ensemble learning for multi-level reliability evaluation63 cited
  • 2021A unified fatigue reliability-based design optimization framework for aircraft turbine disk58 cited
  • 2021Time and space-variant system reliability analysis through adaptive Kriging and weighted sampling54 cited
  • 2025Cascade sampling-driven block mapping for coupled reliability evaluation of turbine cooling systems53 cited

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