Dynamics of inertial and non-inertial particles in geophysical flows

Nishanta Baral

Presentation Type

Poster

Faculty Advisor

Eric Forgoston

Access Type

Event

Start Date

26-4-2023 12:30 PM

End Date

26-4-2023 1:30 PM

Description

We consider the dynamics of inertial and non-inertial particles in a single-layer, quasi-geostrophic (QG) ocean model. We investigate the underlying structures of the flow field by examining their Lagrangian coherent structures (LCS) which are found by computing finite-time Lyapunov exponents (FTLE). We study the behavior of massless non-inertial particles using the fluid velocity fields from the QG model and compare it with the behavior of massless inertial particles in a double-gyre model, duffing oscillator, and bickley jet. For inertial particles with finite size and mass, we use the Maxey-Riley equation to describe the particle's motion, and compare the particles' behavior in a double-gyre flow, duffing oscillator, and bickley jet. We explore the preferential aggregation of inertial particles and demonstrate how particle clustering depends on the density ratio and the Stokes number.

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Apr 26th, 12:30 PM Apr 26th, 1:30 PM

Dynamics of inertial and non-inertial particles in geophysical flows

We consider the dynamics of inertial and non-inertial particles in a single-layer, quasi-geostrophic (QG) ocean model. We investigate the underlying structures of the flow field by examining their Lagrangian coherent structures (LCS) which are found by computing finite-time Lyapunov exponents (FTLE). We study the behavior of massless non-inertial particles using the fluid velocity fields from the QG model and compare it with the behavior of massless inertial particles in a double-gyre model, duffing oscillator, and bickley jet. For inertial particles with finite size and mass, we use the Maxey-Riley equation to describe the particle's motion, and compare the particles' behavior in a double-gyre flow, duffing oscillator, and bickley jet. We explore the preferential aggregation of inertial particles and demonstrate how particle clustering depends on the density ratio and the Stokes number.