Modified stochastic diffusion particle-tracking model (MSDPTM) incorporating energy cascade theory and eddy intermittency for suspended sediment transport in open channel flow DOI
Shih‐Wei Lin,

Shiv Mohan,

Christina W. Tsai

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(10)

Опубликована: Окт. 1, 2024

This study presents a modified stochastic diffusion particle tracking model (MSDPTM) that incorporates energy cascade theory to more accurately simulate suspended sediment transport. The impact of turbulent eddies on particles is an intermittent process, which also considered in this study. examines the time correlation between using eddy turnover and finds closer-scale exhibit higher correlations than those farther apart. statistical properties movement, such as ensemble mean variance trajectories, have been calculated compared with (SDPTM) results. Notably, MSDPTM intermittency demonstrates significantly larger trajectories streamwise direction other models. proposed validated through comparison available data, showing its enhanced performance. results simulation indicate outperforms SDPTM, especially when effect considered.

Язык: Английский

Modified stochastic diffusion particle-tracking model (MSDPTM) incorporating energy cascade theory and eddy intermittency for suspended sediment transport in open channel flow DOI
Shih‐Wei Lin,

Shiv Mohan,

Christina W. Tsai

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(10)

Опубликована: Окт. 1, 2024

This study presents a modified stochastic diffusion particle tracking model (MSDPTM) that incorporates energy cascade theory to more accurately simulate suspended sediment transport. The impact of turbulent eddies on particles is an intermittent process, which also considered in this study. examines the time correlation between using eddy turnover and finds closer-scale exhibit higher correlations than those farther apart. statistical properties movement, such as ensemble mean variance trajectories, have been calculated compared with (SDPTM) results. Notably, MSDPTM intermittency demonstrates significantly larger trajectories streamwise direction other models. proposed validated through comparison available data, showing its enhanced performance. results simulation indicate outperforms SDPTM, especially when effect considered.

Язык: Английский

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