SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
High-dimensional reliability estimation of engineered structures using deep networks and adaptive hierarchical learning
16 references·0 citing·36 second hop
High-dimensional reliability estimation of engineered structures using deep networks and adaptive hierarchical learning (2025)High-dimensional reliability estimation o…An active learning method using deep adversarial autoencoder-based sufficient dimension reduction neural network for high-dimensional reliability analysis (2024)An active learning method usi…Support vector machine in structural reliability analysis: A review (2023)Support vector machine in str…Simulation of 4th-order non-Gaussian random processes by higher-order spectral representation method (2023)Simulation of 4th-order non-G…Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Monte Carlo and variance redu…Adaptive active subspace-based metamodeling for high-dimensional reliability analysis (2023)Adaptive active subspace-base…Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion (2022)Efficient reliability analysi…A review and assessment of importance sampling methods for reliability analysis (2022)A review and assessment of im…Second-order reliability methods: a review and comparative study (2021)Second-order reliability meth…Machine learning-based methods in structural reliability analysis: A review (2021)Machine learning-based method…Efficient structural reliability analysis based on adaptive Bayesian support vector regression (2021)Efficient structural reliabil…Efficient reliability analysis based on deep learning-enhanced surrogate modelling and probability density evolution method (2021)Efficient reliability analysi…Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis (2020)Kernel principal component an…An improved adaptive bivariate dimension-reduction method for efficient statistical moment and reliability evaluations (2020)An improved adaptive bivariat…An active learning method combining deep neural network and weighted sampling for structural reliability analysis (2020)An active learning method com…Efficient dimension reduction and surrogate-based sensitivity analysis for expensive models with high-dimensional outputs (2019)Efficient dimension reduction…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)An Introduction to Copulas (1999)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Structural Reliability Analysis and Prediction (2017)Ensemble of surrogates combining Kriging and Artificial Neural Networks for reliability analysis with local goodness measurement (2022)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global Sensitivity Analysis. The Primer (2007)Simulation and the Monte Carlo Method (2016)Surrogate modeling immersed probability density evolution method for structural reliability analysis in high dimensions (2020)An expected integrated error reduction function for accelerating Bayesian active learning of failure probability (2022)Parallel adaptive Bayesian quadrature for rare event estimation (2022)Estimation of small failure probabilities in high dimensions by subset simulation (2001)A GRU-based ensemble learning method for time-variant uncertain structural response analysis (2022)Vectorial surrogate modeling approach for multi-failure correlated probabilistic evaluation of turbine rotor (2022)Dynamic reliability analysis of Aerial Building Machine under extreme wind loads using improved QBDC-based active learning (2024)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)A new active-learning estimation method for the failure probability of structural reliability based on Kriging model and simple penalty function (2023)Adaptive directed support vector machine method for the reliability evaluation of aeroengine structure (2024)Structural reliability under combined random load sequences (1978)Global sensitivity analysis using polynomial chaos expansions (2007)Enhanced soft Monte Carlo simulation coupled with support vector regression for structural reliability analysis (2024)Reliability-based design optimization: a state-of-the-art review of its methodologies, applications, and challenges (2024)The intrinsic random functions and their applications (1973)An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis (2023)Structural Reliability Methods (1996)A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower (2022)Application of kriging method to structural reliability problems (2004)Structural reliability analysis based on improved wolf pack algorithm AK-SS (2023)Theory and application of possibility and evidence in reliability analysis and design optimization (2025)Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities (2024)Quantum interval neural network for uncertain structural static analysis (2025)
this work references cited by second hop

References

  • 2023Support vector machine in structural reliability analysis: A review507 cited
  • 2021Machine learning-based methods in structural reliability analysis: A review370 cited
  • 2022A review and assessment of importance sampling methods for reliability analysis273 cited
  • 2023Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review234 cited
  • 2020An active learning method combining deep neural network and weighted sampling for structural reliability analysis128 cited
  • 2019Deep learning for high-dimensional reliability analysis117 cited
  • 2021Second-order reliability methods: a review and comparative study113 cited
  • 2020Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis85 cited
  • 2021Efficient structural reliability analysis based on adaptive Bayesian support vector regression79 cited
  • 2021Efficient reliability analysis based on deep learning-enhanced surrogate modelling and probability density evolution method58 cited
  • 2019Efficient dimension reduction and surrogate-based sensitivity analysis for expensive models with high-dimensional outputs52 cited
  • 2022Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion42 cited
  • 2023Adaptive active subspace-based metamodeling for high-dimensional reliability analysis37 cited

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

  • 2020An improved adaptive bivariate dimension-reduction method for efficient statistical moment and reliability evaluations37 cited
  • 2024An active learning method using deep adversarial autoencoder-based sufficient dimension reduction neural network for high-dimensional reliability analysis32 cited
  • 2023Simulation of 4th-order non-Gaussian random processes by higher-order spectral representation method29 cited
  • Cited by

    No citing works inside the corpus for this window.