Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Global sensitivity analysis of failure probability of structures with uncertainties of random variable and their distribution parameters

16 references·5 citing·41 second hop

FromToDepth

this work references cited by second hop

References

1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
2002Sensitivity Analysis for Importance Assessment1,303 cited
2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
2006A new uncertainty importance measure1,030 cited
2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models692 cited
2015Variable importance analysis: A comprehensive review526 cited
2015A new learning function for Kriging and its applications to solve reliability problems in engineering400 cited
2009Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models327 cited
2004Alternative representations of epistemic uncertainty290 cited
1990Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques258 cited
2002An importance quantification technique in uncertainty analysis for computer models

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

251 cited

2011Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation192 cited

2015Uncertainty Management in Simulation-Optimization of Complex Systems192 cited

Cited by

2023Global sensitivity analysis using polynomial chaos expansion enhanced Gaussian process regression method12 cited
2023Stochastic analysis of steel frames considering the material, geometrical and loading uncertainties9 cited
2023An efficient surrogate model method considering the candidate sample pool reduction by safety optimal hypersphere for random-interval mixed reliability analysis9 cited
2022An efficient method for predictive-failure-probability-based global sensitivity analysis8 cited
2022GLOBAL SENSITIVITY ANALYSIS OF RARE EVENT PROBABILITIES USING SUBSET SIMULATION AND POLYNOMIAL CHAOS EXPANSIONS7 cited