Applied/GPS/Fall2011

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GPS Applied Mathematics Seminar

The GPS (Graduate Participation Seminar) is a weekly seminar by and for graduate students. If you're interested in presenting a topic or your own research, contact the organizers, Qin Li and Sarah Tumasz.


All seminars are on Mondays from 2:25pm to 3:15pm in B211 Van Vleck.

Fall 2011

date speaker title
Sept 19 Qin Li AP scheme for multispecies Boltzmann equation
Sept 26 Sarah Tumasz An Introduction to Topological Mixing
Oct 3 Zhennan Zhou Perturbation Theory and Molecular Dynamics
Oct 10 Li Wang A class of well balanced scheme for hyperbolic system with source term
Oct 17 E. Alec Johnson Boundary Integral Positivity Limiters
Oct 24 Bokai Yan An introduction to elliptic flow
Oct 31 No Talk this week
Nov 7 No talk this week
Nov 14
Nov 21 Gerardo Hernandez-Duenas A Hybrid Scheme for Flows in Porous Media
Nov 28 Jean-Luc Thiffeault Modeling hagfish slime, perhaps the coolest substance in the world
Dec 5 No talk this week
Dec 12 David Seal A semi-Lagrangian discontinuous Galerkin method for solving the Vlasov-Poisson System
Dec 19 James Rossmanith Residual Distribution Schemes for Hyperbolic Conservation Laws

Abstracts

Monday, Sept 19: Qin Li

AP scheme for multispecies Boltzmann equation

It is well-known that the Euler equation and the Navier–Stokes equation are 1st and 2nd order asymptotic limit of the Boltzmann equation when the Knudsen number goes to zero. Numerically the solution to the Boltzmann equation should converge to the Euler limit too. However, when the Knudsen number is small, one has to resolve the mesh to avoid instability, which causes tremendous computational cost. Asymptotic preserving scheme is a type of schemes that only uses coarse mesh but preserves the asymptotic limits of the Boltzmann equation in a discrete setting when Knudsen number vanishes. I'm going to present an AP scheme -- the BGK penalization method to solve the multispecies Boltzmann equation. New difficulties for this multispecies system come from: 1. the accurate definition of BGK term, 2. the different time scaling needed for different species to achieve the equilibrium.

Monday, Sept 26: Sarah Tumasz

An Introduction to Topological Mixing

What does topology have to do with mixing fluids? I will give an introduction to topological mixing from the bottom up. The talk will include a description of the basic theory, and demonstration of how to apply the techniques to a specific system. No prior knowledge of topology is needed!

Monday, Oct 3: Zhennan Zhou

Perturbation Theory and Molecular Dynamics

I would like to give a brief introduction to quantum molecular dynamics with the method of adiabatic perturbation theory.In the framework of Quantum Mechanics, the dynamics of a molecule is governed by the (time-dependent) Schr\"odinger equation, involving nuclei and electrons coupled through electromagnetic interactions. In recent years, Born-Oppenheimer approximation with many applications in mathematics, physics and chemistry, turns out to be a very successful approximation scheme, which is a prototypical example of adiabatic decoupling, and plays a fundamental role in the understanding of complex molecular systems.

Monday, Oct 10: Li Wang

A class of well balanced scheme for hyperbolic system with source term

In many physical problems one encounters source terms that are balanced by internal forces, and this kind of problem can be described by a hyperbolic system with source term. In comparison with the homogeneous system, a significant difference is that this system encounters non-constant stationary sloutions. So people want to preserve the steay state solutions, or some discrete versions at least, with enough accuracy. This is the so called well balanced scheme. I will give some basic idea of the scheme through a typical example, the Saint-Venant system for shallow water flows with nonuniform bottom. This talk is based on the paper [E.Audusse, etc SIAM J. Sci. Comput. 2004].

Monday, Oct 17: E. Alec Johnson

Boundary Integral Positivity Limiting

We consider positivity-preserving discontinuous Galerkin (DG) schemes for hyperbolic PDEs. For simplicity we focus on scalar PDEs with flux functions that may be spatially varying. We assume that physical solutions maintain positivity of the solution.

The DG method evolves a piecewise polynomial representation. Specifically, the representation is typically discontinuous at mesh cell interfaces and when restricted to a mesh cell is a polynomial. The coefficients of the representation are evolved using an ODE solver, which for simplicity we take to be the explicit Euler method.

Positivity limiters maintain positivity of the cell average by after each time step damping the deviation from the cell average just enough so that a cell positivity condition is satisfied.

The question we consider is how the cell positivity condition ought to be defined. The positivity condition should at least require positivity at the boundary nodes (where Riemann problems must be solved) and should at most require positivity everywhere in the cell (lest order of accuracy be violated).

Testing whether a higher-order polynomial with extremum arbitrarily close to zero is everywhere positive is NP-hard. We therefore seek a less stringent positivity indicator which is inexpensive to compute.

The time until an Euler step violates positivity of the cell average is the ratio of the amount of stuff in the cell to the rate at which it is flowing out of the boundary. This immediately suggests a simple positivity indicator which we call the boundary integral positivity indicator. Enforcing positivity of the boundary integral positivity indicator is computationally no more expensive than enforcing positivity at a single point and guarantees the same positivity-preserving time step as if positivity were enforced everywhere in the mesh cell.

This is joint work with James Rossmanith.

Monday, Oct 24: Bokai Yan

An Introduction to Elliptic Flow

Monday, Nov 21: Gerardo Hernandez-Duenas

A Hybrid Scheme for Flows in Porous Media

The Baer-Nunziato two-phase flow model describes flame propagation in gas-permeable reactive granular material. This is an averaged flow model, expressing conservation of mass, and momentum and energy balance of the gas and solid phases. They form a hyperbolic system with nonconservative products. The presence of nonconservative product implies both theoretical and numerical complications. We are interested in the Riemann problem, where the porosity has discontinuities in the so-called compaction wave. The compaction wave is characterized by six quantities that remain constant across it and are known as Riemann invariants. Conservative formulations are essential near shock waves, but they perform poorly near the compaction wave, as it is unable to recognize the Riemann invariants. We propose a hybrid algorithm, where we use the conservative formulation near shock waves, and a nonconservative formulation that respects the Riemann invariants near the interface. In this talk, we will show the hybrid technique, and numerical results that show the merits of the scheme.

Monday, Nov 28: Jean-Luc Thiffeault

Modeling hagfish slime, perhaps the coolest substance in the world

I will discuss the hagfish -- an eel that fills a predator's mouth with slime when bit down upon. Such a rapid gelling is impressive, and it is a challenge to understand how it occurs. The hagfish slime fluid actually contains tiny little "balls of twine," which unspool under the effect of hydrodynamic flow. This talk will be about the early steps involved in modelling this fluid. It is very much work in progress.

Monday, Dec 12: David Seal

A semi-Lagrangian discontinuous Galerkin method for solving the Vlasov-Poisson System

Monday, Dec 19: James Rossmanith

Residual Distribution Schemes for Hyperbolic Conservation Laws

I will describe the basic concepts behind a class of numerical methods for hyperbolic conservation laws called residual distribution schemes. These schemes are naturally formulated on unstructured grids, which allows them to be used for problems with complex geometries. I will first explain how these methods can be used for solving steady-state problems, and then explain how this can be generalized to unsteady problems. Finally, I will briefly show some preliminary results from work in progress on applying these methods to astrophysical flows.