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Structural reliability and stochastic finite element methods
16 references·11 citing·29 second hop
Structural reliability and stochastic finite element methods (2018)Structural reliability and stochastic fin…Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Information-Theoretic Regret …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 based on least angle regression (2010)Adaptive sparse polynomial ch…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Stochastic Collocation Meth…Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Modeling uncertainty in flow …Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…A fast and efficient response surface approach for structural reliability problems (1990)A fast and efficient response…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …Structural reliability under combined random load sequences (1978)Structural reliability under …Exact and Invariant Second-Moment Code Format (1974)Exact and Invariant Second-Mo…The intrinsic random functions and their applications (1973)The intrinsic random function…PAKP: Parallelized Adaptive Kriging method with Partial least squares for high-dimensional reliability analysis (2025)PAKP: Parallelized Adaptive K…Efficient reliability analysis via a nonlinear autoregressive multi-fidelity surrogate model and active learning (2024)Efficient reliability analysi…Theoretical Guarantees for the Statistical Finite Element Method (2023)Theoretical Guarantees for th…An efficient and versatile Kriging-based active learning method for structural reliability analysis (2023)An efficient and versatile Kr…An adaptive Kriging method based on K-means clustering and sampling in n-ball for structural reliability analysis (2023)An adaptive Kriging method ba…Probabilistic structural analysis of a real-life corroding concrete bridge girder incorporating stochastic material and damage variables in a finite element approach (2022)Probabilistic structural anal…Hermite polynomial normal transformation for structural reliability analysis (2021)Hermite polynomial normal tra…Gaussian Process Regression-Based Material Model for Stochastic Structural Analysis (2021)Gaussian Process Regression-B…An improved AK-MCS for reliability analysis by an efficient and simple reduction strategy of candidate sample pool (2021)An improved AK-MCS for reliab…Adaptive importance sampling based neural network framework for reliability and sensitivity prediction for variable stiffness composite laminates with hybrid uncertainties (2020)Adaptive importance sampling …Sobol’ indices as dimension reduction technique in evolutionary-based reliability assessment (2019)Sobol’ indices as dimension r…Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)Metamodel-based importance sampling for structural reliability analysis (2013)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)A new uncertainty importance measure (2006)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)Some aspects of the sequential design of experiments (1952)Finite-time Analysis of the Multiarmed Bandit Problem (2002)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Bandit Algorithms (2020)Narrow Reliability Bounds for Structural Systems (1979)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 1974Exact and Invariant Second-Moment Code Format3,138 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 1978Structural reliability under combined random load sequences2,229 cited
  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 1973The intrinsic random functions and their applications1,499 cited
  • 2003Modeling uncertainty in flow simulations via generalized polynomial chaos

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1,428 cited
  • 2007A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data1,396 cited
  • 1990A fast and efficient response surface approach for structural reliability problems1,198 cited
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    • 2021An improved AK-MCS for reliability analysis by an efficient and simple reduction strategy of candidate sample pool28 cited
    • 2020Adaptive importance sampling based neural network framework for reliability and sensitivity prediction for variable stiffness composite laminates with hybrid uncertainties20 cited
    • 2021Hermite polynomial normal transformation for structural reliability analysis15 cited
    • 2022Probabilistic structural analysis of a real-life corroding concrete bridge girder incorporating stochastic material and damage variables in a finite element approach12 cited
    • 2019Sobol’ indices as dimension reduction technique in evolutionary-based reliability assessment12 cited
    • 2025PAKP: Parallelized Adaptive Kriging method with Partial least squares for high-dimensional reliability analysis11 cited
    • 2023Theoretical Guarantees for the Statistical Finite Element Method9 cited
    • 2024Efficient reliability analysis via a nonlinear autoregressive multi-fidelity surrogate model and active learning9 cited