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Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse

Computer methods in applied mechanics and engineering, 2021-08, Vol.381 (C), p.113826, Article 113826

2021

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An active-learning method based on multi-fidelity Kriging model for structural reliability analysis

Structural and multidisciplinary optimization, 2021, Vol.63 (1), p.173-195

2021

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Construction of probability box model based on maximum entropy principle and corresponding hybrid reliability analysis approach

Structural and multidisciplinary optimization, 2020-02, Vol.61 (2), p.599-617

2020

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Evidence-theory-based structural reliability analysis with epistemic uncertainty: a review

Structural and multidisciplinary optimization, 2021-06, Vol.63 (6), p.2935-2953

2021

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A system reliability analysis method combining active learning Kriging model with adaptive size of candidate points

Structural and multidisciplinary optimization, 2019-07, Vol.60 (1), p.137-150

2019

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A novel experimental data-driven exponential convex model for reliability assessment with uncertain-but-bounded parameters

Applied Mathematical Modelling, 2020-01, Vol.77, p.773-787

2020

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A computational framework of kinematic accuracy reliability analysis for industrial robots

Applied Mathematical Modelling, 2020-06, Vol.82, p.189-216

2020

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Evidence theory-based reliability optimization design using polynomial chaos expansion

Computer methods in applied mechanics and engineering, 2018-11, Vol.341, p.640-657

2018

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An extended CREAM model based on analytic network process under the type‐2 fuzzy environment for human reliability analysis in the high‐speed train operation

Quality and reliability engineering international, 2021-02, Vol.37 (1), p.284-308

2021

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An effective and efficient method for structural reliability considering the distributional parametric uncertainty

Applied Mathematical Modelling, 2022-06, Vol.106, p.507-523

2022

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System reliability analysis with small failure probability based on active learning Kriging model and multimodal adaptive importance sampling

Structural and multidisciplinary optimization, 2020-08, Vol.62 (2), p.581-596

2020

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Super parametric convex model and its application for non-probabilistic reliability-based design optimization

Applied Mathematical Modelling, 2018-03, Vol.55, p.354-370

2018

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An Armijo-based hybrid step length release first order reliability method based on chaos control for structural reliability analysis

Structural and multidisciplinary optimization, 2023-04, Vol.66 (4), p.77, Article 77

2023

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An efficient semi-analytical extreme value method for time-variant reliability analysis

Structural and multidisciplinary optimization, 2021-09, Vol.64 (3), p.1469-1480

2021

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An effective Kriging-based approximation for structural reliability analysis with random and interval variables

Structural and multidisciplinary optimization, 2021-05, Vol.63 (5), p.2473-2491

2021

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An efficient latent map multi-fidelity Kriging model and adaptive point-selected strategy for reliability analysis with time-consuming simulations

Structural and multidisciplinary optimization, 2024-05, Vol.67 (5), p.71, Article 71

2024

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Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification

Structural and multidisciplinary optimization, 2023-08, Vol.66 (8), p.186, Article 186

2023

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Reliability-based design optimization for problems with interval distribution parameters

Structural and multidisciplinary optimization, 2017-02, Vol.55 (2), p.513-528

2017

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Hybrid reliability analysis with uncertain statistical variables, sparse variables and interval variables

Engineering optimization, 2018-08, Vol.50 (8), p.1347-1363

2018

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Error-guided method combining adaptive learning kriging model and parallel-tempering-based importance sampling for system reliability analysis

Engineering optimization, 2024-04, Vol.56 (4), p.525-547

2024

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Time-variant reliability analysis using moment-based equivalent Gaussian process and importance sampling

Structural and multidisciplinary optimization, 2022-02, Vol.65 (2), Article 73

2022

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Bounds approximation of limit‐state surface based on active learning Kriging model with truncated candidate region for random‐interval hybrid reliability analysis

International journal for numerical methods in engineering, 2020-04, Vol.121 (7), p.1345-1366

2020

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An adaptive Kriging method based on K-means clustering and sampling in n-ball for structural reliability analysis

Engineering computations, 2023-04, Vol.40 (2), p.378-410

2023

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A new chance reliability-based design optimization approach considering aleatory and epistemic uncertainties

Structural and multidisciplinary optimization, 2022-08, Vol.65 (8), Article 233

2022

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On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling

Structural and multidisciplinary optimization, 2024, Vol.67 (1), p.6, Article 6

2024

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Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse

An active-learning method based on multi-fidelity Kriging model for structural reliability analysis

Construction of probability box model based on maximum entropy principle and corresponding hybrid reliability analysis approach

Evidence-theory-based structural reliability analysis with epistemic uncertainty: a review

A system reliability analysis method combining active learning Kriging model with adaptive size of candidate points

A novel experimental data-driven exponential convex model for reliability assessment with uncertain-but-bounded parameters

A computational framework of kinematic accuracy reliability analysis for industrial robots

Evidence theory-based reliability optimization design using polynomial chaos expansion

An extended CREAM model based on analytic network process under the type‐2 fuzzy environment for human reliability analysis in the high‐speed train operation

An effective and efficient method for structural reliability considering the distributional parametric uncertainty

System reliability analysis with small failure probability based on active learning Kriging model and multimodal adaptive importance sampling

Super parametric convex model and its application for non-probabilistic reliability-based design optimization

An Armijo-based hybrid step length release first order reliability method based on chaos control for structural reliability analysis

An efficient semi-analytical extreme value method for time-variant reliability analysis

An effective Kriging-based approximation for structural reliability analysis with random and interval variables

An efficient latent map multi-fidelity Kriging model and adaptive point-selected strategy for reliability analysis with time-consuming simulations

Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification

Reliability-based design optimization for problems with interval distribution parameters

Hybrid reliability analysis with uncertain statistical variables, sparse variables and interval variables

Error-guided method combining adaptive learning kriging model and parallel-tempering-based importance sampling for system reliability analysis

Time-variant reliability analysis using moment-based equivalent Gaussian process and importance sampling

Bounds approximation of limit‐state surface based on active learning Kriging model with truncated candidate region for random‐interval hybrid reliability analysis

An adaptive Kriging method based on K-means clustering and sampling in n-ball for structural reliability analysis

A new chance reliability-based design optimization approach considering aleatory and epistemic uncertainties

On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling

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