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Combining digital image correlation and probabilistic approaches for the reliability analysis of composite pressure vessels
8 references·2 citing·32 second hop
Combining digital image correlation and probabilistic approaches for the reliability analysis of composite pressure vessels (2018)Combining digital image correlation and p…Experimental characterisation of random field models for CFRP composite panels (2014)Experimental characterisation…Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Adaptive sparse polynomial ch…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…The Predictive Sample Reuse Method with Applications (1975)The Predictive Sample Reuse M…Reliability-based composite pressure vessel design optimization with cure-induced stresses and spatial material variability (2024)Reliability-based composite p…Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation (2023)Efficient quantification of c…The Handbook of Social Psychology (1969)Single Sample Cross-Validation Indices for Covariance Structures (1989)The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation* (2006)Using partial least squares in operations management research: A practical guideline and summary of past research (2012)Probabilistic Theory of Structural Dynamics (1976)The stochastic finite element method: Past, present and future (2008)Reliability in composites – A selective review and survey of current development (2011)Stochastic model order reduction in uncertainty quantification of composite structures (2015)A novel reliability-based two-level optimization method for composite laminated structures (2018)Uncertainty quantification of bladed disc systems using data driven stochastic reduced order models (2020)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)POLYNOMIAL-CHAOS-BASED KRIGING (2015)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)A new uncertainty importance measure (2006)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)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)The stochastic finite element method in structural reliability (1988)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)A distribution-free approach to inducing rank correlation among input variables (1982)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Uniform Design: Theory and Application (2000)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 1975The Predictive Sample Reuse Method with Applications2,746 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 2014Experimental characterisation of random field models for CFRP composite panels33 cited

Cited by

  • 2024Reliability-based composite pressure vessel design optimization with cure-induced stresses and spatial material variability14 cited
  • 2023Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation12 cited

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