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Partial safety factor calibration using surrogate models: An application for running safety of ballasted high-speed railway bridges
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Partial safety factor calibration using surrogate models: An application for running safety of ballasted high-speed railway bridges (2023)Partial safety factor calibration using s…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…A new learning function for Kriging and its applications to solve reliability problems in engineering (2015)A new learning function for K…Meta-models for Structural Reliability and Uncertainty Quantification (2012)Meta-models for Structural Re…Reliability-based design optimization using kriging surrogates and subset simulation (2011)Reliability-based design opti…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Asymptotic sampling for high-dimensional reliability analysis (2009)Asymptotic sampling for high-…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Limit state function identification using Support Vector Machines for discontinuous responses and disjoint failure domains (2007)Limit state function identifi…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Reliability of structures in high dimensions, part I: algorithms and applications (2004)Reliability of structures in …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…Optimization — the basis of code-making and reliability verification (2000)Optimization — the basis of c…Structural system reliability assessment using directional simulation (1994)Structural system reliability…Importance sampling in structural systems (1989)Importance sampling in struct…Structural Reliability under Incomplete Probability Information (1986)Structural Reliability under …Structural reliability under combined random load sequences (1978)Stochastic Finite Elements: A Spectral Approach (1991)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Machine learning-based methods in structural reliability analysis: A review (2021)Active learning for structural reliability: Survey, general framework and benchmark (2022)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)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)Exact and Invariant Second-Moment Code Format (1974)Narrow Reliability Bounds for Structural Systems (1979)Second‐Order Reliability Approximations (1987)Optimal Discretization of Random Fields (1993)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)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)Statistics for Spatial Data (1993)Aleatory or epistemic? Does it matter? (2008)A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Uncertainties in risk analysis: Six levels of treatment (1996)Reliability analysis—a review and some perspectives (2001)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)A new adaptive importance sampling scheme for reliability calculations (1999)A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics (2004)
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References

  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2017Structural Reliability Analysis and Prediction3,780 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 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
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  • 2011Reliability-based design optimization using kriging surrogates and subset simulation450 cited
  • 2015A new learning function for Kriging and its applications to solve reliability problems in engineering400 cited
  • 2004Reliability of structures in high dimensions, part I: algorithms and applications370 cited
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  • 2012Meta-models for Structural Reliability and Uncertainty Quantification181 cited
  • 2009Asymptotic sampling for high-dimensional reliability analysis153 cited

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2007
Limit state function identification using Support Vector Machines for discontinuous responses and disjoint failure domains
142 cited
  • 1994Structural system reliability assessment using directional simulation88 cited
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