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Updated: Jan 5, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
Published on: May 1, 2018
A hierarchical random additive model for passive scalars in wall-bounded flows at high Reynolds numbers
Xiang I A Yang1,2, Mahdi Abkar1,3
1Center for Turbulence Research, Stanford University, Stanford, CA 94305, USA.
The hierarchical random additive process (HRAP) model successfully describes passive scalar turbulence. This framework extends HRAP
Area of Science:
- Fluid Dynamics
- Turbulence Modeling
- Scalar Transport
Background:
- Passive scalar turbulence in wall-bounded flows is complex.
- The hierarchical random additive process (HRAP) formalism offers a new interpretation of the Townsend attached eddy hypothesis.
- Previous HRAP models successfully described velocity fluctuations in wall turbulence.
Purpose of the Study:
- To model the kinematics of fully developed passive scalars using the HRAP formalism.
- To investigate if HRAP, successful for velocity, can also model scalar fluctuations.
- To establish a framework for scalar turbulence modeling in high Reynolds number wall-bounded flows.
Main Methods:
- Application of the hierarchical random additive process (HRAP) formalism to passive scalar fields.
- Leveraging generalized logarithmic scalings observed in velocity fluctuations for scalar fields.
- Validation using large-eddy simulations (LES) of turbulent flows.
Main Results:
- The HRAP model successfully predicts generalized logarithmic scalings for passive scalar fluctuations.
- HRAP accurately models the kinematics of passive scalars, mirroring findings in velocity fluctuations.
- Large-eddy simulations confirm the applicability of the HRAP model to scalar turbulence.
Conclusions:
- The HRAP formalism provides a robust framework for modeling passive scalar turbulence.
- The study confirms the similarity in statistical behaviors between velocity and passive scalar fluctuations.
- This work advances the understanding and modeling of scalar transport in high Reynolds number wall-bounded flows.
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