SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Integrated stochastic analysis of fiber composites manufacturing using adapted polynomial chaos expansions
7 references·6 citing·33 second hop
Integrated stochastic analysis of fiber composites manufacturing using adapted polynomial chaos expansions (2018)Integrated stochastic analysis of fiber c…Reduced Wiener Chaos representation of random fields via basis adaptation and projection (2017)Reduced Wiener Chaos represen…Uncertainty in the manufacturing of fibrous thermosetting composites: A review (2013)Uncertainty in the manufactur…Efficient stochastic simulation approach for RTM process with random fibrous permeability (2011)Efficient stochastic simulati…Spectral Methods for Uncertainty Quantification (2010)Spectral Methods for Uncertai…Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Uncertainty Quantification an…Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection (2003)Uncertainty quantification in…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Stochastic multiscale modeling for quantifying statistical and model errors with application to composite materials (2023)Stochastic multiscale modelin…Multifidelity uncertainty quantification with models based on dissimilar parameters (2023)Multifidelity uncertainty qua…Projection pursuit adaptation on polynomial chaos expansions (2022)Projection pursuit adaptation…A functional global sensitivity measure and efficient reliability sensitivity analysis with respect to statistical parameters (2022)A functional global sensitivi…Accelerated basis adaptation in homogeneous chaos spaces (2021)Accelerated basis adaptation …Data fusion for Uncertainty Quantification with Non-Intrusive Polynomial Chaos (2020)Data fusion for Uncertainty Q…Stochastic Finite Elements: A Spectral Approach (1991)Global sensitivity analysis using polynomial chaos expansions (2007)Comparison of finite element reliability methods (2002)Collocation-based stochastic finite element analysis for random field problems (2006)The stochastic finite element method: Past, present and future (2008)A stochastic approach to model material variation determining tow impregnation in out-of-autoclave prepreg consolidation (2015)Stochastic Resin Transfer Molding Process (2017)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Stochastic Projection Method for Fluid Flow (2002)Point-Collocation Nonintrusive Polynomial Chaos Method for Stochastic Computational Fluid Dynamics (2010)The method of uncertainty quantification and minimization using polynomial chaos expansions (2011)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem (2017)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Aleatory or epistemic? Does it matter? (2008)Stochastic modeling and statistical calibration with model error and scarce data (2023)Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis (2024)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Bayesian reinforcement learning reliability analysis (2024)A hybrid polynomial chaos expansion – Gaussian process regression method for Bayesian uncertainty quantification and sensitivity analysis (2025)Constructing Probability Boxes and Dempster-Shafer Structures (2003)On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data (2006)REIN: Reliability Estimation via Importance sampling with Normalizing flows (2023)Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients (2011)An Introduction to Computational Stochastic PDEs (2014)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)Probabilistic defect analysis of fiber reinforced composites using kriging and support vector machine based surrogates (2018)Reliability-based Design Optimization of Laminated Composite Structures under Delamination and Material Property Uncertainties (2021)A review on stochastic multiscale analysis for FRP composite structures (2022)
this work references cited by second hop

References

  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2010Spectral Methods for Uncertainty Quantification953 cited
  • 2008Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics769 cited
  • 2003Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection333 cited
  • 2013Uncertainty in the manufacturing of fibrous thermosetting composites: A review213 cited
  • 2017Reduced Wiener Chaos representation of random fields via basis adaptation and projection48 cited
  • 2011Efficient stochastic simulation approach for RTM process with random fibrous permeability44 cited

Cited by

  • 2022A functional global sensitivity measure and efficient reliability sensitivity analysis with respect to statistical parameters35 cited
  • 2022Projection pursuit adaptation on polynomial chaos expansions33 cited
  • 2023Stochastic multiscale modeling for quantifying statistical and model errors with application to composite materials32 cited
  • 2021Accelerated basis adaptation in homogeneous chaos spaces26 cited
  • 2023Multifidelity uncertainty quantification with models based on dissimilar parameters24 cited
  • 2020Data fusion for Uncertainty Quantification with Non-Intrusive Polynomial Chaos9 cited

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