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Gaussian process-driven uncertainty quantification of labyrinth seal aero-thermal performance | Synapse
March 3, 2026
Gaussian process-driven uncertainty quantification of labyrinth seal aero-thermal performance
XZ
Xiang Zhang
Zhengzhou University of Aeronautics
DX
Decheng Xu
Zhengzhou University of Aeronautics
YC
Yifan Cao
Zhengzhou University of Aeronautics
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Puntos clave
Aero-thermal performance significantly increases when using gaussian process-driven methodologies.
The study highlights uncertainty quantification as a key factor in evaluating performance metrics.
Observational analysis of labyrinth seals evaluates thermal and flow characteristics under varying conditions.
These findings support better design practices, crucial for enhancing efficiency in aerospace applications.
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Zhang et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75dcec6e9836116a280ca
https://doi.org/https://doi.org/10.1016/j.ast.2026.111796