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Updated: Apr 25, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
Published on: May 1, 2018
Front propagation in cellular flows for fast reaction and small diffusivity
Alexandra Tzella1, Jacques Vanneste2
1School of Mathematics, University of Birmingham, Birmingham, United Kingdom.
Fluid flows significantly impact chemical front propagation in Fisher-Kolmogorov-Petrovsky-Piskunov models. An asymptotic theory reveals front speed depends on a minimized path, providing efficient calculations for various Péclet (Pe) and Damköhler (Da) number regimes.
Area of Science:
- Chemical kinetics
- Fluid dynamics
- Mathematical modeling
Background:
- Fisher-Kolmogorov-Petrovsky-Piskunov (FKPP) models describe phenomena like population dynamics and chemical reactions.
- Understanding the influence of external forces, such as fluid flow, is crucial for accurately predicting front propagation.
- Previous studies often simplified flow conditions or focused on different parameter regimes.
Purpose of the Study:
- To investigate how fluid flows affect chemical front speeds in FKPP models.
- To develop an asymptotic theory for front propagation in cellular flows.
- To derive efficient methods for calculating front speeds under specific limiting conditions.
Main Methods:
- Development of an asymptotic theory for front speed in cellular flow.
- Analysis in the limit of small molecular diffusivity and large Péclet (Pe) and Damköhler (Da) numbers.
- Utilizing instanton theory to identify paths minimizing a specific functional for front speed calculation.
Main Results:
- The front speed is determined by a periodic path (instanton) that minimizes a functional.
- Efficient procedures for calculating front speed were established.
- Closed-form expressions for front speed were derived for two distinct parameter regimes: (logPe)(-1) ≪ Da ≪ Pe and Da ≫ Pe.
Conclusions:
- The study provides a robust theoretical framework for understanding advection-dominated chemical front propagation.
- Theoretical predictions align well with numerical solutions and simulations.
- The findings offer insights into optimizing reaction-diffusion processes in flowing systems.
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