Tag: Python

Fluid transport by vortex ring entrainment

by Shane, posted in Get involved, Honours/Masters projects

Vortices are rotating bodies of fluid that remain coherent for long periods, and are frequently observed in the atmosphere, ocean, and in laboratory experiments. Observations and simulations of vortices indicate that they are important for transporting properties such as heat, biological material, or pollutants over large distances.

While some fluid is transported by the core of the vortex, there is also transport due to ambient fluid that is captured or “entrained” within the outer ring and then travels with the vortex as it propagates. In this project, we will examine transport by entrainment of fluid in the vortex ring, or of multiple vortex rings. Experience with Python is required.

This project is supervised by Dr Shane Keating (UNSW Sydney). Please contact s.keating@unsw.edu.au for more information.

Submit your application by Oct 26 2018 for commencement in Term 1, 2019.

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Dedalus workshop at ANU

by Shane, posted in Latest news, Workshop

Join us in Canberra this Fri Aug 24 for a special workshop on Dedalus, an open-source spectral PDE solver for Python.

Dedalus is a flexible framework for spectrally solving differential equations. Although it was developed for use in fluid dynamics research, Dedalus can be applied to any initial-value, boundary-value, and eigenvalue problems involving nearly arbitrary equations sets. You build a spectrally-representable domain, symbolically specify equations and boundary conditions, select a numerical solver, and go.

 

The workshop will be held at ANU’s Research School for Earth Science, and will begin with a seminar by Dedalus developer Dr Geoffrey Vallis (U. Sydney), followed by a hands-on workshop.

For more details please contact Taimoor Sohail.

When: Friday 24th August 2018, 1-3pm

Where: Hales Room, Jaeger 7, ANU Research School for Earth Science.

About the main image: Simulation of 2D flow over a wing-shaped obstacle with moderate Reynolds number (Re ~ 100). The flow is visualised by advecting a passive tracer concentration field; released from a perpetual localised source on the left-side of the domain. The wing is implemented with a volume-penalised immersed boundary method. Credit: Eric Hestor (U. Sydney).

To watch a movie of this and other examples, visit the Dedalus Project Vimeo page.