The diffusion behavior of sediments in an ice-covered channel is different from that in a regular open channel due to the presence of an additional ice cover on the upper surface. Several models based on the conventional advection-diffusion equation, as well as on the space-fractional advection-diffusion equation, have been developed to find the concentration profile in such channels. However, the nonlocality characteristics that arise from the time-memory effects of particles remain unaddressed. Therefore, the present study considers the unsteady one-dimensional time-fractional advection-diffusion equation to investigate the time-dependent memory effects of particles in the flow of an ice-covered channel. The modified Atangana-Baleanu fractional derivative in the Caputo sense, involving the Mittag-Leffler kernel with an integrable singularity at the origin, is used. Both analytical and numerical solutions to the problem are presented: analytical solutions using Laplace and Fourier transform methods and numerical solutions using the Chebyshev collocation method. Additionally, a comparison between the analytical and numerical solutions has been conducted, including an error analysis. Furthermore, the effects of time-memory on the concentration profile have been investigated. It has been observed that, as time progresses, sediment particles exhibit a strong memory effect, leading to an increase in their concentration as they move from upstream zones to the current location. During the initial stage of motion, time-memory effects influence particle movement and mixing, but this influence diminishes as the system approaches a steady state. Sensitivity analysis for different parameters present in the model has been conducted, and the model has been validated using existing experimental data under restricted conditions.
Analytical and Numerical Investigation of Suspended Sediment Concentration Profiles in an Ice-Covered Channel Using the Time-Fractional Advection–Diffusion Equation / Sahu, Sweta Narayan; Hossain, Sourav; Gualtieri, Carlo; Ghoshal, Koeli. - In: JOURNAL OF ENGINEERING MECHANICS. - ISSN 0733-9399. - 151:9(2025), pp. 1-23. [10.1061/jenmdt.emeng-8452]
Analytical and Numerical Investigation of Suspended Sediment Concentration Profiles in an Ice-Covered Channel Using the Time-Fractional Advection–Diffusion Equation
Gualtieri, CarloSecondo
Conceptualization
;
2025
Abstract
The diffusion behavior of sediments in an ice-covered channel is different from that in a regular open channel due to the presence of an additional ice cover on the upper surface. Several models based on the conventional advection-diffusion equation, as well as on the space-fractional advection-diffusion equation, have been developed to find the concentration profile in such channels. However, the nonlocality characteristics that arise from the time-memory effects of particles remain unaddressed. Therefore, the present study considers the unsteady one-dimensional time-fractional advection-diffusion equation to investigate the time-dependent memory effects of particles in the flow of an ice-covered channel. The modified Atangana-Baleanu fractional derivative in the Caputo sense, involving the Mittag-Leffler kernel with an integrable singularity at the origin, is used. Both analytical and numerical solutions to the problem are presented: analytical solutions using Laplace and Fourier transform methods and numerical solutions using the Chebyshev collocation method. Additionally, a comparison between the analytical and numerical solutions has been conducted, including an error analysis. Furthermore, the effects of time-memory on the concentration profile have been investigated. It has been observed that, as time progresses, sediment particles exhibit a strong memory effect, leading to an increase in their concentration as they move from upstream zones to the current location. During the initial stage of motion, time-memory effects influence particle movement and mixing, but this influence diminishes as the system approaches a steady state. Sensitivity analysis for different parameters present in the model has been conducted, and the model has been validated using existing experimental data under restricted conditions.| File | Dimensione | Formato | |
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