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Uncertainty analysis of curing-induced dimensional variability of composite structures utilizing physics-guided Gaussian process meta-modeling
6 references·4 citing·45 second hop
Uncertainty analysis of curing-induced dimensional variability of composite structures utilizing physics-guided Gaussian process meta-modeling (2021)Uncertainty analysis of curing-induced di…Stochastic multi-scale modeling of carbon fiber reinforced composites with polynomial chaos (2019)Stochastic multi-scale modeli…Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced composites (2018)Spatially varying fuzzy multi…A Review on Global Sensitivity Analysis Methods (2015)A Review on Global Sensitivit…Uncertainty quantification of dry woven fabrics: A sensitivity analysis on material properties (2014)Uncertainty quantification of…Calculations of Sobol indices for the Gaussian process metamodel (2008)Calculations of Sobol indices…Bayesian analysis of computer code outputs: A tutorial (2006)Bayesian analysis of computer…Key conditional quotient of random finite element model under measurement conditions (2025)Key conditional quotient of r…Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification (2025)Dimensionality reduction can …Dimensional tolerance optimization of SAR antennas with uncertainty quantification and reliability analysis based on structural-electromagnetic coupling model (2024)Dimensional tolerance optimiz…Evidence-based uncertainty quantification for bending properties of bimetal composites (2023)Evidence-based uncertainty qu…Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Global Sensitivity Analysis. The Primer (2007)Random forests for global sensitivity analysis: A selective review (2020)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials (2019)Uncertainty quantification of the mechanical properties of lightweight concrete using micromechanical modelling (2020)A combined machine learning and numerical approach for evaluating the uncertainty of 3D angle-interlock woven composites (2022)STATISTICS FOR SPATIAL DATA (1992)Asymptotic normality and efficiency of two Sobol index estimators (2013)Making sense of global sensitivity analyses (2013)Global sensitivity analysis with dependence measures (2014)The Design and Analysis of Computer Experiments (2003)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)An overview of methods to evaluate uncertainty of deterministic models in decision support (2014)A survey of non-probabilistic uncertainty treatment in finite element analysis (2004)A critical reliability evaluation of fibre reinforced composite materials based on probabilistic micro and macro-mechanical analysis (2010)Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances (2010)A hybrid stochastic sensitivity analysis for low-frequency vibration and low-velocity impact of functionally graded plates (2019)Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithms (2020)Multi-fidelity machine learning based uncertainty quantification of progressive damage in composite laminates through optimal data fusion (2023)Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations (2004)Global sensitivity analysis using polynomial chaos expansions (2007)Adaptive weighted least-squares polynomial chaos expansion with basis adaptivity and sequential adaptive sampling (2019)Uncertainty quantification and global sensitivity analysis of composite wind turbine blades (2022)Recent advances in uncertainty quantification in structural response characterization and system identification (2023)An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)Challenge problems: uncertainty in system response given uncertain parameters (2004)Uncertainty in the manufacturing of fibrous thermosetting composites: A review (2013)Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process (2024)A general procedure for first/second-order reliabilitymethod (FORM/SORM) (1999)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Probability density evolution method for dynamic response analysis of structures with uncertain parameters (2004)The principle of preservation of probability and the generalized density evolution equation (2006)A GF-discrepancy for point selection in stochastic seismic response analysis of structures with uncertain parameters (2015)Stochastic Finite Elements: A Spectral Approach (1991)Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion (2014)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)
this work references cited by second hop

References

  • 2015A Review on Global Sensitivity Analysis Methods1,113 cited
  • 2006Bayesian analysis of computer code outputs: A tutorial756 cited
  • 2008Calculations of Sobol indices for the Gaussian process metamodel331 cited
  • 2019Stochastic multi-scale modeling of carbon fiber reinforced composites with polynomial chaos64 cited
  • 2018Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced composites54 cited
  • 2014Uncertainty quantification of dry woven fabrics: A sensitivity analysis on material properties47 cited

Cited by

  • 2023Evidence-based uncertainty quantification for bending properties of bimetal composites17 cited
  • 2024Dimensional tolerance optimization of SAR antennas with uncertainty quantification and reliability analysis based on structural-electromagnetic coupling model15 cited
  • 2025Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification13 cited
  • 2025Key conditional quotient of random finite element model under measurement conditions10 cited

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