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Reliability-based composite pressure vessel design optimization with cure-induced stresses and spatial material variability
11 references·0 citing·45 second hop
Reliability-based composite pressure vessel design optimization with cure-induced stresses and spatial material variability (2024)Reliability-based composite pressure vess…Reliability analysis of hydrogen storage composite pressure vessel with two types of random-interval uncertainties (2023)Reliability analysis of hydro…Efficient strategies for reliability analysis and uncertainty quantification for filament-wound cylinders under internal pressure (2023)Efficient strategies for reli…Stochastic, probabilistic and reliability analyses of internally-pressurised filament wound composite tubes using artificial neural network metamodels (2022)Stochastic, probabilistic and…Elucidating appealing features of differentiable auto-correlation functions: A study on the modified exponential kernel (2022)Elucidating appealing feature…Analyzing Dependent Data with Vine Copulas: A Practical Guide With R (2019)Analyzing Dependent Data with…Combining digital image correlation and probabilistic approaches for the reliability analysis of composite pressure vessels (2018)Combining digital image corre…Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion (2015)Modeling strongly non-Gaussia…Application of surrogate based particle swarm optimization to the reliability-based robust design of composite pressure vessels (2013)Application of surrogate base…Selecting and estimating regular vine copulae and application to financial returns (2012)Selecting and estimating regu…Optimal Discretization of Random Fields (1993)Optimal Discretization of Ran…The stochastic finite element method in structural reliability (1988)The stochastic finite element…Digital simulation of random processes and its applications (1972)Simulation of Stochastic Processes by Spectral Representation (1991)Stochastic Finite Elements: A Spectral Approach (1991)Dynamic response analysis of structure under time-variant interval process model (2016)Simulation of cross-correlated random field samples from sparse measurements using Bayesian compressive sensing (2018)A sample-based iterative scheme for simulating non-stationary non-Gaussian stochastic processes (2020)An Introduction to Copulas (1999)Extreme Correlation of International Equity Markets (2001)Quantitative Risk Management: Concepts, Techniques, and Tools (2005)Truncated regular vines in high dimensions with application to financial data (2012)Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine (2013)The impact of energy prices on clean energy stock prices. 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this work references cited by second hop

References

  • 2012Selecting and estimating regular vine copulae and application to financial returns743 cited
  • 1993Optimal Discretization of Random Fields728 cited
  • 1988The stochastic finite element method in structural reliability519 cited
  • 2015Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion93 cited
  • 2022Elucidating appealing features of differentiable auto-correlation functions: A study on the modified exponential kernel45 cited
  • 2019Analyzing Dependent Data with Vine Copulas: A Practical Guide With R43 cited
  • 2022Stochastic, probabilistic and reliability analyses of internally-pressurised filament wound composite tubes using artificial neural network metamodels26 cited
  • 2013Application of surrogate based particle swarm optimization to the reliability-based robust design of composite pressure vessels21 cited
  • 2023Reliability analysis of hydrogen storage composite pressure vessel with two types of random-interval uncertainties19 cited
  • 2018Combining digital image correlation and probabilistic approaches for the reliability analysis of composite pressure vessels18 cited
  • 2023Efficient strategies for reliability analysis and uncertainty quantification for filament-wound cylinders under internal pressure17 cited

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