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Multi-fidelity machine learning based uncertainty quantification of progressive damage in composite laminates through optimal data fusion

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References

2007Global Sensitivity Analysis. The Primer6,425 cited
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2018Probabilistic micromechanical spatial variability quantification in laminated composites75 cited
2018Effect of delamination on the stochastic natural frequencies of composite laminates68 cited
2015A Response Surface Modelling Approach for Resonance Driven Reliability Based Optimization of Composite Shells56 cited
2016Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates56 cited
2018Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced composites54 cited
2020Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithms47 cited

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2024Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines14 cited

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