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• W4281260897 abstract "In this paper, we study the convergence analysis for a robust stochastic structure-preserving Lagrangian numerical scheme in computing effective diffusivity of time-dependent chaotic flows, which are modeled by stochastic differential equations (SDEs). Our numerical scheme is based on a splitting method to solve the corresponding SDEs in which the deterministic subproblem is discretized using a structure-preserving scheme while the random subproblem is discretized using the Euler-Maruyama scheme. We obtain a sharp and uniform-in-time convergence analysis for the proposed numerical scheme that allows us to accurately compute long-time solutions of the SDEs. As such, we can compute the effective diffusivity for time-dependent chaotic flows. Finally, we present numerical results to demonstrate the accuracy and efficiency of the proposed method in computing effective diffusivity for the time-dependent Arnold-Beltrami-Childress (ABC) flow and Kolmogorov flow in three-dimensional space." @default.
• W4281260897 created "2022-05-23" @default.
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• W4281260897 date "2022-07-20" @default.
• W4281260897 modified "2023-10-01" @default.
• W4281260897 title "Computing effective diffusivities in 3D time-dependent chaotic flows with a convergent Lagrangian numerical method" @default.
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• W4281260897 doi "https://doi.org/10.1051/m2an/2022049" @default.
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