Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

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

Generalized F‐discrepancy‐based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures

16 references·10 citing·36 second hop

FromToDepth

this work references cited by second hop

References

2016Simulation and the Monte Carlo Method3,356 cited
2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
2007Pair-copula constructions of multiple dependence2,055 cited
2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
2009Stochastic Dynamics of Structures923 cited
1996Families of $m$-variate distributions with given margins and $m(m-1)/2$ bivariate dependence parameters777 cited
1986Random field finite elements645 cited
1972Monte Carlo solution of structural dynamics629 cited
2002Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos552 cited
2013Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine499 cited
2015A GF-discrepancy for point selection in stochastic seismic response analysis of structures with uncertain parameters410 cited
1993The stochastic finite element method: basic perturbation technique and computer implementation400 cited
1991Spectral Stochastic Finite‐Element Formulation for Reliability Analysis271 cited
2007Partition of the probability-assigned space in probability density evolution analysis of nonlinear stochastic structures138 cited

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

2018

A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas

112 cited

2015A Vine-Copula-Based Reliability Analysis Method for Structures With Multidimensional Correlation98 cited

Cited by

2022A fully adaptive method for structural stochastic response analysis based on direct probability integral method39 cited
2022Ensemble of metamodels-assisted probability density evolution method for structural reliability analysis32 cited
2022A new active-learning function for adaptive Polynomial-Chaos Kriging probability density evolution method26 cited
2022A two-stage point selection strategy for probability density evolution method-based reliability analysis20 cited
2023One-step look-ahead policy for active learning reliability analysis19 cited
2024Quantitative property of MF-discrepancy and efficient point-selection strategy for the nonlinear stochastic response analysis of structures with random parameters19 cited
2021Improvement to the discretized initial condition of the generalized density evolution equation12 cited
2021Probabilistic screening and behavior of solar cells under Gaussian parametric uncertainty using polynomial chaos representation model10 cited
2023Two dimension-reduction probabilistic models for simulating nonstationary turbulent wind fields9 cited
2025Structural reliability analysis using gradient-enhanced physics-informed neural network and probability density evolution method8 cited