Journal ArticleComputing effective diffusivities in 3D time-dependent chaotic flows with a convergent Lagrangian numerical methodWang, Zhongjian; Xin, Jack; Zhang, ZhiwenIn 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.2022-09-0110444907ESAIM: Mathematical Modelling and Numerical Analysis5651521 to 15442822-7840https://doi.org/10.1051/m2an/20220491952644; 1924548National Science Foundation