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Assessment of Data-Driven Models for Modeling the Coefficient of Pressure Fluctuations in a Hydraulic Jump

Abstract Pressure fluctuations in a hydraulic jump can prove critical in achieving the safe, economical design of stilling basins. This paper describes the application of data-driven methods and experimental measurements to estimate the dimensionless coefficient of pressure fluctuations ( $${C}_{p}^...

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Autores principales: Aliasghar Azma, Alistair G.L. Borthwick, Yakun Liu, Di Zhang, Ehsan Afaridegan
Formato: Artigo
Lenguaje:Inglês
Publicado: Springer 2026-03-01
Colección:International Journal of Computational Intelligence Systems
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Acceso en línea:https://doi.org/10.1007/s44196-026-01259-2
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