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Sparse Polynomial Chaos Expansion for Uncertainty Quantification of Composite Cylindrical Shell with Geometrical and Material Uncertainty
6 references·2 citing·35 second hop
Sparse Polynomial Chaos Expansion for Uncertainty Quantification of Composite Cylindrical Shell with Geometrical and Material Uncertainty (2022)Sparse Polynomial Chaos Expansion for Unc…A review on stochastic multiscale analysis for FRP composite structures (2022)A review on stochastic multis…Data-driven inverse uncertainty quantification in the transverse tensile response of carbon fiber reinforced composites (2021)Data-driven inverse uncertain…Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials (2019)Quantification of Uncertainti…Sequential Design of Experiment for Sparse Polynomial Chaos Expansions (2017)Sequential Design of Experime…Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions (2016)Polynomial meta-models with c…Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Efficient computation of glob…Uncertainty sensitivity analysis for vibration properties of composite doubly-curved shallow shells using Kriging method (2024)Uncertainty sensitivity analy…Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation (2023)Efficient quantification of c…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Stochastic Finite Elements: A Spectral Approach (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)POLYNOMIAL-CHAOS-BASED KRIGING (2015)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (2021)An Introduction to Copulas (1999)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Sliced inverse regression-based sparse polynomial chaos expansions for reliability analysis in high dimensions (2017)Arbitrary polynomial chaos expansion method for uncertainty quantification and global sensitivity analysis in structural dynamics (2020)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Structural reliability analysis based on polynomial chaos, Voronoi cells and dimension reduction technique (2019)Variance-based sensitivity analysis for time-dependent processes (2019)A Review of Recent Advances in Surrogate Models for Uncertainty Quantification of High-Dimensional Engineering Applications (2024)The stochastic finite element method in structural reliability (1988)Aleatory or epistemic? Does it matter? (2008)Probabilistic stability of uncertain composite plates and stochastic irregularity in their buckling mode shapes: A semi-analytical non-intrusive approach (2023)Global sensitivity analysis using polynomial chaos expansions (2007)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)A combined machine learning and numerical approach for evaluating the uncertainty of 3D angle-interlock woven composites (2022)Bayesian Inverse Uncertainty Quantification of the Physical Model Parameters for the Spallation Neutron Source First Target Station (2022)Data-driven inverse method with uncertainties for path parameters of variable stiffness composite laminates (2022)Uncertainty in the manufacturing of fibrous thermosetting composites: A review (2013)Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters (2014)Bounds of mechanical properties of fibre reinforced polymer composites with hybrid random and interval uncertainties (2022)A multiscale uncertainty propagation method for dynamic analysis of laminated FRP composite plates with hybrid random and interval uncertainties (2023)A multiscale Bayesian method to quantify uncertainties in constitutive and microstructural parameters of 3D-printed composites (2024)Optimal Discretization of Random Fields (1993)Pair-copula constructions of multiple dependence (2007)Selecting and estimating regular vine copulae and application to financial returns (2012)Efficient uncertainty propagation for stochastic multiscale linear elasticity (2024)Designs for Computer Experiments (1989)The origins of kriging (1990)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code (2000)Uncertainty vibro-acoustic behaviours of cracked plates using spectral-MRGP method (2026)
this work references cited by second hop

References

  • 2010Efficient computation of global sensitivity indices using sparse polynomial chaos expansions383 cited
  • 2016Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions120 cited
  • 2022A review on stochastic multiscale analysis for FRP composite structures83 cited
  • 2017Sequential Design of Experiment for Sparse Polynomial Chaos Expansions83 cited
  • 2019Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials47 cited
  • 2021Data-driven inverse uncertainty quantification in the transverse tensile response of carbon fiber reinforced composites31 cited

Cited by

  • 2023Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation12 cited
  • 2024Uncertainty sensitivity analysis for vibration properties of composite doubly-curved shallow shells using Kriging method10 cited

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