Combination of Karhunen-Loève and intrusive polynomial chaos for uncertainty quantification of thermomagnetic convection problem with stochastic boundary condition

Jiang, Changwei; Qi, Yuquan; Shi, Er

doi:10.1016/j.enganabound.2023.12.014

Engineering Analysis with Boundary Elements

2024

DOI: 10.1016/j.enganabound.2023.12.014

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Combination of Karhunen-Loève and intrusive polynomial chaos for uncertainty quantification of thermomagnetic convection problem with stochastic boundary condition

Changwei Jiang,

Yuquan Qi,

Er Shi

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Neural network-based DPIM for uncertainty quantification of imperfect cylindrical stiffened shells with multiple random parameters

Chen,

Yang

et al. 2024

Engineering Analysis with Boundary Elements

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Neural network-based DPIM for uncertainty quantification of imperfect cylindrical stiffened shells with multiple random parameters

Chen,

Yang

et al. 2024

Engineering Analysis with Boundary Elements

View full text Add to dashboard Cite

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Combination of Karhunen-Loève and intrusive polynomial chaos for uncertainty quantification of thermomagnetic convection problem with stochastic boundary condition

Cited by 1 publication

References 40 publications

Neural network-based DPIM for uncertainty quantification of imperfect cylindrical stiffened shells with multiple random parameters

Neural network-based DPIM for uncertainty quantification of imperfect cylindrical stiffened shells with multiple random parameters

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