SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A High-Dimensional Reliability Analysis Method for Simulation-Based Design Under Uncertainty
16 references·15 citing·36 second hop
A High-Dimensional Reliability Analysis Method for Simulation-Based Design Under Uncertainty (2018)A High-Dimensional Reliability Analysis M…Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Bayesian Optimization in a Bi…Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Taking the Human Out of the L…Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Global sensitivity analysis-e…Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…Assessing small failure probabilities by combined subset simulation and Support Vector Machines (2011)Assessing small failure proba…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems (2010)Adaptive-sparse polynomial ch…Multi-element probabilistic collocation method in high dimensions (2009)Multi-element probabilistic c…Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis (2008)Eigenvector dimension reducti…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics (2004)A univariate dimension-reduct…A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics (2004)A generalized dimension‐reduc…High Dimensional Model Representations (2001)High Dimensional Model Repres…General foundations of high‐dimensional model representations (1999)General foundations of high‐d…Efficient input—output model representations (1999)Efficient input—output model …Efficient Algorithm for Second‐Order Reliability Analysis (1991)Efficient Algorithm for Secon…Consecutive adaptive Kriging method for high-dimensional reliability analysis based on multi-fidelity framework (2024)Consecutive adaptive Kriging …Surrogate modeling for high dimensional uncertainty propagation via deep kernel polynomial chaos expansion (2023)Surrogate modeling for high d…Gaussian process regression based on deep neural network for reliability analysis in high dimensions (2023)Gaussian process regression b…A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging (2023)A novel method for high-dimen…Uncertainty propagation method for high-dimensional black-box problems via Bayesian deep neural network (2022)Uncertainty propagation metho…An adaptive dimension-reduction method-based sparse polynomial chaos expansion via sparse Bayesian learning and Bayesian model averaging (2022)An adaptive dimension-reducti…AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm (2022)AK-HMC-IS: A Novel Importance…A new sampling approach for system reliability-based design optimization under multiple simulation models (2022)A new sampling approach for s…Kriging-based reliability analysis considering predictive uncertainty reduction (2021)Kriging-based reliability ana…Sampling-based system reliability-based design optimization using composite active learning Kriging (2020)Sampling-based system reliabi…A single-loop approach with adaptive sampling and surrogate Kriging for reliability-based design optimization (2020)A single-loop approach with a…Novel decoupling method for time-dependent reliability-based design optimization (2019)Novel decoupling method for t…Non-Probabilistic Robust Equilibrium Optimization of Complex Uncertain Structures (2019)Non-Probabilistic Robust Equi…A new method for reliability analysis of structures with mixed random and convex variables (2019)A new method for reliability …High-Dimensional Reliability-Based Design Optimization Involving Highly Nonlinear Constraints and Computationally Expensive Simulations (2018)High-Dimensional Reliability-…Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A survey on approaches for reliability-based optimization (2010)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Reliability analysis—a review and some perspectives (2001)A critical appraisal of reliability estimation procedures for high dimensions (2004)Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation (2016)Machine learning-based methods in structural reliability analysis: A review (2021)Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)Theorems and examples on high dimensional model representation (2003)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Structural reliability under combined random load sequences (1978)Designs for Computer Experiments (1989)Probability, reliability and statistical methods in engineering design (1999)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Design and Analysis of Computer Experiments (1989)Practical Bayesian Optimization of Machine Learning Algorithms (2012)A Tutorial on Bayesian Optimization (2018)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Importance measures in global sensitivity analysis of nonlinear models (1996)Sensitivity Analysis for Chemical Models (2005)A new uncertainty importance measure (2006)GUI–HDMR – A software tool for global sensitivity analysis of complex models (2008)An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations (2010)Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)A comparative study of uncertainty propagation methods for black-box-type problems (2008)Structural reliability analysis based on the concepts of entropy, fractional moment and dimensional reduction method (2013)
this work references cited by second hop

References

  • 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization6,126 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 1999General foundations of high‐dimensional model representations905 cited
  • 2004A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics568 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2001High Dimensional Model Representations497 cited
  • 1999Efficient input—output model representations462 cited
  • 2004A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics441 cited
  • 2011Assessing small failure probabilities by combined subset simulation and Support Vector Machines419 cited
  • 2016Bayesian Optimization in a Billion Dimensions via Random Embeddings392 cited
  • 1991Efficient Algorithm for Second‐Order Reliability Analysis293 cited
  • 2009Multi-element probabilistic collocation method in high dimensions203 cited
  • 2015Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis185 cited

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

2010
Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems
183 cited
  • 2008Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis179 cited
  • Cited by

    • 2019Novel decoupling method for time-dependent reliability-based design optimization35 cited
    • 2019A new method for reliability analysis of structures with mixed random and convex variables33 cited
    • 2021Kriging-based reliability analysis considering predictive uncertainty reduction32 cited
    • 2020Sampling-based system reliability-based design optimization using composite active learning Kriging27 cited
    • 2020A single-loop approach with adaptive sampling and surrogate Kriging for reliability-based design optimization25 cited
    • 2023Gaussian process regression based on deep neural network for reliability analysis in high dimensions24 cited
    • 2018High-Dimensional Reliability-Based Design Optimization Involving Highly Nonlinear Constraints and Computationally Expensive Simulations24 cited
    • 2022A new sampling approach for system reliability-based design optimization under multiple simulation models22 cited
    • 2023A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging21 cited
    • 2022Uncertainty propagation method for high-dimensional black-box problems via Bayesian deep neural network19 cited
    • 2023Surrogate modeling for high dimensional uncertainty propagation via deep kernel polynomial chaos expansion18 cited
    • 2022AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm15 cited
    • 2024Consecutive adaptive Kriging method for high-dimensional reliability analysis based on multi-fidelity framework13 cited
    • 2019Non-Probabilistic Robust Equilibrium Optimization of Complex Uncertain Structures13 cited
    • 2022An adaptive dimension-reduction method-based sparse polynomial chaos expansion via sparse Bayesian learning and Bayesian model averaging13 cited