SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Variance-based reliability sensitivity with dependent inputs using failure samples
16 references·0 citing·34 second hop
Variance-based reliability sensitivity with dependent inputs using failure samples (2023)Variance-based reliability sensitivity wi…Simulation and the Monte Carlo Method (2016)Simulation and the Monte Carl…MCMC algorithms for Subset Simulation (2015)MCMC algorithms for Subset Si…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Reliability of structures in high dimensions, part I: algorithms and applications (2004)Reliability of structures in …Engineering Design Reliability Handbook (2004)Engineering Design Reliabilit…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Analysis of variance designs for model output (1999)Analysis of variance designs …Structural Reliability Methods (1996)Structural Reliability MethodsImportance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Computational methods for efficient structural reliability and reliability sensitivity analysis (1994)Computational methods for eff…The stochastic finite element method in structural reliability (1988)The stochastic finite element…Improvement Of Second‐Order Reliability Estimates by Importance Sampling (1988)Improvement Of Second‐Order R…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 …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)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)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)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)From screening to quantitative sensitivity analysis. A unified approach (2011)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Stochastic Finite Elements: A Spectral Approach (1991)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)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global Sensitivity Analysis. The Primer (2007)How to avoid a perfunctory sensitivity analysis (2010)SALib: An open-source Python library for Sensitivity Analysis (2017)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)Probability Concepts in Engineering Planning and Design (1975)Global sensitivity analysis using polynomial chaos expansions (2007)Aleatory or epistemic? Does it matter? (2008)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Automobile Prices in Market Equilibrium (1995)
this work references cited by second hop

References

  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2016Simulation and the Monte Carlo Method3,356 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 1978Structural reliability under combined random load sequences2,229 cited
  • 1996Structural Reliability Methods2,192 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 1999Analysis of variance designs for model output648 cited
  • 1988The stochastic finite element method in structural reliability519 cited
  • 2004Engineering Design Reliability Handbook468 cited
  • 2015MCMC algorithms for Subset Simulation413 cited
  • 1994Computational methods for efficient structural reliability and reliability sensitivity analysis388 cited
  • 1988Improvement Of Second‐Order Reliability Estimates by Importance Sampling

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

382 cited
  • 2004Reliability of structures in high dimensions, part I: algorithms and applications370 cited
  • Cited by

    No citing works inside the corpus for this window.