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Efficient Random Field Uncertainty Propagation in Design Using Multiscale Analysis
16 references·16 citing·28 second hopsampled
Efficient Random Field Uncertainty Propagation in Design Using Multiscale Analysis (2009)Efficient Random Field Uncertainty Propag…Proceedings of the 2009 Winter Simulation Conference (WSC) (2009)Proceedings of the 2009 Winte…A comparative study of uncertainty propagation methods for black-box-type problems (2008)A comparative study of uncert…Statistics for experimenters: design, innovation, and discovery (2006)Statistics for experimenters:…An efficient algorithm for constructing optimal design of computer experiments (2004)An efficient algorithm for co…A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics (2004)A univariate dimension-reduct…A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics (2004)A generalized dimension‐reduc…Analytical Target Cascading in Automotive Vehicle Design (2003)Analytical Target Cascading i…Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos (2002)Modeling uncertainty in stead…Reliability Assessment Using Stochastic Finite Element Analysis (2001)Reliability Assessment Using …Reliability Assessment Using Stochastic Finite Element Analysis (2000)Reliability Assessment Using …Orthogonal Arrays: Theory and Applications (2000)Orthogonal Arrays: Theory and…Orthogonal Arrays (1999)Orthogonal ArraysOrthogonal Series Expansions of Random Fields in Reliability Analysis (1994)Orthogonal Series Expansions …A General Approach for Robust Optimal Design (1993)A General Approach for Robust…Random field finite elements (1986)Random field finite elementsProbabilistic finite elements for nonlinear structural dynamics (1986)Probabilistic finite elements…Uncertainty quantification in materials modeling (2020)Uncertainty quantification in…Stochastic analysis and validation under aleatory and epistemic uncertainties (2020)Stochastic analysis and valid…Experimental characterization of spatial variability for random field modeling on struts of additively manufactured lattice structures (2020)Experimental characterization…A general assessment index for non-probabilistic reliability of structures with bounded field and parametric uncertainties (2020)A general assessment index fo…Stochastic Constitutive Model of Isotropic Thin Fiber Networks Based on Stochastic Volume Elements (2019)Stochastic Constitutive Model…Buckling assessment of thin-walled plates with uncertain geometrical imperfections based on non-probabilistic field model (2019)Buckling assessment of thin-w…A Vine Copula-Based Hierarchical Framework for Multiscale Uncertainty Analysis (2019)A Vine Copula-Based Hierarchi…Sparse regression Chebyshev polynomial interval method for nonlinear dynamic systems under uncertainty (2017)Sparse regression Chebyshev p…A stochastic computational multiscale approach; Application to MEMS resonators (2015)A stochastic computational mu…Random field modeling with insufficient field data for probability analysis and design (2014)Random field modeling with in…Uncertainty Management in the Design of Multiscale Systems (2012)Uncertainty Management in the…Stochastic finite element with material uncertainties: Implementation in a general purpose simulation program (2012)Stochastic finite element wit…Optimization of structures under material parameter uncertainty using evidence theory (2012)Optimization of structures un…Multiscale Uncertainty Quantification Based on a Generalized Hidden Markov Model (2011)Multiscale Uncertainty Quanti…A Multiscale Design Methodology for Hierarchical Systems With Random Field Uncertainty (2010)A Multiscale Design Methodolo…A Hierarchical Statistical Sensitivity Analysis Method for Multilevel Systems With Shared Variables (2010)A Hierarchical Statistical Se…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Minimax and maximin distance designs (1990)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Design of computer experiments: space filling and beyond (2011)Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)Design of computer experiments: A review (2017)Stochastic Finite Elements: A Spectral Approach (1991)A survey on approaches for reliability-based optimization (2010)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Probabilistic Theory of Structural Dynamics (1976)Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations (2004)Fast Numerical Methods for Stochastic Computations: A Review (2009)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Stochastic spectral methods for efficient Bayesian solution of inverse problems (2006)An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Experimental design in chromatography: A tutorial review (2012)Experimental design of supercritical fluid extraction – A review (2013)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)A survey of non-probabilistic uncertainty treatment in finite element analysis (2004)Assessment of the efficiency of Kriging surrogate models for structural reliability analysis (2014)Reliability analysis of structures by iterative improved response surface method (2016)Overview of Modern Design of Experiments Methods for Computational Simulations (Invited) (2003)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. 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References

  • 2006Statistics for experimenters: design, innovation, and discovery1,644 cited
  • 2000Orthogonal Arrays: Theory and Applications1,079 cited
  • 1999Orthogonal Arrays980 cited
  • 2004An efficient algorithm for constructing optimal design of computer experiments671 cited
  • 1986Random field finite elements645 cited
  • 2004A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics568 cited
  • 2002Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos552 cited
  • 2000Reliability Assessment Using Stochastic Finite Element Analysis524 cited
  • 2001Reliability Assessment Using Stochastic Finite Element Analysis472 cited
  • 2004A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics441 cited
  • 1986Probabilistic finite elements for nonlinear structural dynamics396 cited
  • 1993A General Approach for Robust Optimal Design351 cited
  • 2008A comparative study of uncertainty propagation methods for black-box-type problems331 cited
  • 2009Proceedings of the 2009 Winter Simulation Conference (WSC)290 cited
  • 2003Analytical Target Cascading in Automotive Vehicle Design

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268 cited
  • 1994Orthogonal Series Expansions of Random Fields in Reliability Analysis265 cited
  • Cited by

    • 2012Stochastic finite element with material uncertainties: Implementation in a general purpose simulation program71 cited
    • 2015A stochastic computational multiscale approach; Application to MEMS resonators37 cited
    • 2019Stochastic Constitutive Model of Isotropic Thin Fiber Networks Based on Stochastic Volume Elements35 cited
    • 2020Stochastic analysis and validation under aleatory and epistemic uncertainties35 cited
    • 2020A general assessment index for non-probabilistic reliability of structures with bounded field and parametric uncertainties34 cited
    • 2010A Multiscale Design Methodology for Hierarchical Systems With Random Field Uncertainty32 cited
    • 2017Sparse regression Chebyshev polynomial interval method for nonlinear dynamic systems under uncertainty30 cited
    • 2012Uncertainty Management in the Design of Multiscale Systems28 cited
    • 2012Optimization of structures under material parameter uncertainty using evidence theory24 cited
    • 2019Buckling assessment of thin-walled plates with uncertain geometrical imperfections based on non-probabilistic field model23 cited
    • 2020Uncertainty quantification in materials modeling23 cited
    • 2010A Hierarchical Statistical Sensitivity Analysis Method for Multilevel Systems With Shared Variables22 cited
    • 2011Multiscale Uncertainty Quantification Based on a Generalized Hidden Markov Model21 cited
    • 2019A Vine Copula-Based Hierarchical Framework for Multiscale Uncertainty Analysis18 cited
    • 2014Random field modeling with insufficient field data for probability analysis and design17 cited
    • 2020Experimental characterization of spatial variability for random field modeling on struts of additively manufactured lattice structures14 cited