SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Simulation of cross-correlated random field samples from sparse measurements using Bayesian compressive sensing
10 references·3 citing·39 second hop
Simulation of cross-correlated random field samples from sparse measurements using Bayesian compressive sensing (2018)Simulation of cross-correlated random fie…Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion (2015)Modeling strongly non-Gaussia…Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion (2014)Numerical methods for the dis…Engineering Risk Assessment with Subset Simulation (2014)Engineering Risk Assessment w…Simulation of simply cross correlated random fields by series expansion methods (2007)Simulation of simply cross co…Karhunen–Loéve Expansion of Stochastic Processes with a Modified Exponential Covariance Kernel (2007)Karhunen–Loéve Expansion of S…Simulation of second-order processes using Karhunen–Loeve expansion (2002)Simulation of second-order pr…Convergence study of the truncated Karhunen–Loeve expansion for simulation of stochastic processes (2001)Convergence study of the trun…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Simulation of Stochastic Fields by Statistical Preconditioning (1990)Simulation of Stochastic Fiel…Stochastic Finite Element Expansion for Random Media (1989)Stochastic Finite Element Exp…Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation (2023)Non-parametric generation of …Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks (2022)Estimation of spatial uncerta…Statistical inference of random field auto-correlation structure from multiple sets of incomplete and sparse measurements using Bayesian compressive sampling-based bootstrapping (2019)Statistical inference of rand…Digital simulation of random processes and its applications (1972)Simulation of Stochastic Processes by Spectral Representation (1991)Dynamic response analysis of structure under time-variant interval process model (2016)A sample-based iterative scheme for simulating non-stationary non-Gaussian stochastic processes (2020)A new computational scheme for structural static stochastic analysis based on Karhunen–Loève expansion and modified perturbation stochastic finite element method (2023)Neumann Expansion for Stochastic Finite Element Analysis (1988)Polynomial Chaos in Stochastic Finite Elements (1990)A nonparametric model of random uncertainties for reduced matrix models in structural dynamics (2000)A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics (2004)A 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)Stochastic simulation of non-Gaussian/non-stationary properties in a functionally graded plate (2004)A translation model for non-stationary, non-Gaussian random processes (2005)Hybrid uncertain static analysis with random and interval fields (2016)Simulation and the Monte Carlo Method (2016)Digital Generation of Non‐Gaussian Stochastic Fields (1988)Simulation of Stationary Non-Gaussian Translation Processes (1998)Implementation of Karhunen–Loeve expansion for simulation using a wavelet-Galerkin scheme (2002)Life-cycle reliability-based optimization of civil and aerospace structures (2003)Simulation of strongly non-Gaussian processes using Karhunen–Loeve expansion (2005)Structural Reliability under Incomplete Probability Information (1986)The stochastic finite element method: Past, present and future (2008)An explicit method for simulating non-Gaussian and non-stationary stochastic processes by Karhunen-Loève and polynomial chaos expansion (2018)Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty (2019)Random Fields: Analysis and Synthesis (1983)Random function based spectral representation of stationary and non-stationary stochastic processes (2016)Solution of stochastic partial differential equations using Galerkin finite element techniques (2001)Reliability assessment in structural dynamics (2013)A stochastic harmonic function representation for non-stationary stochastic processes (2017)Simulation of non-stationary non-Gaussian random fields from sparse measurements using Bayesian compressive sampling and Karhunen-Loève expansion (2019)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module (2013)Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme (2014)Simulation of multi-dimensional random fields by Karhunen–Loève expansion (2017)Sequential importance sampling for structural reliability analysis (2016)An efficient Kriging-based subset simulation method for hybrid reliability analysis under random and interval variables with small failure probability (2019)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 1989Stochastic Finite Element Expansion for Random Media512 cited
  • 2001Convergence study of the truncated Karhunen–Loeve expansion for simulation of stochastic processes466 cited
  • 2014Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion315 cited
  • 2014Engineering Risk Assessment with Subset Simulation315 cited
  • 2002Simulation of second-order processes using Karhunen–Loeve expansion269 cited
  • 2007Simulation of simply cross correlated random fields by series expansion methods143 cited
  • 2007Karhunen–Loéve Expansion of Stochastic Processes with a Modified Exponential Covariance Kernel131 cited
  • 2015Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion93 cited
  • 1990Simulation of Stochastic Fields by Statistical Preconditioning87 cited

Cited by

  • 2019Statistical inference of random field auto-correlation structure from multiple sets of incomplete and sparse measurements using Bayesian compressive sampling-based bootstrapping18 cited
  • 2022Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks11 cited
  • 2023Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation

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

11 cited