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Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota September 11, 2008

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Page 1: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Interactive Computational Sciences Laboratory

Clarence O. E. BurgAssistant Professor of MathematicsUniversity of Central Arkansas

Science Museum of MinnesotaSeptember 11, 2008

Page 2: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Motivation for Project

Interactive investigations are superior to static presentations

Personal experience while in graduate school

PhD Advisor’s work on Smithsonian exhibit titled “How Wings Work”

Page 3: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Overview of Presentation

The computational sciences process The scope of the computational

sciences Current implementation Future computational platform Current needs/plans

Page 4: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Overview of Presentation

The computational sciences process

The scope of the computational sciences

Current implementation Future computational platform Current needs/plans

Page 5: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Overview of Computational Sciences

Develop mathematical model of physical phenomena

Represent physical domain using discrete points, called a grid or mesh

Approximately solve mathematical equations on these discrete points

Visualize, analyze and interpret the results

Page 6: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Example – Water Flow in 2D

One possible system of equations

This system is well understood and the algorithms for solving it are mature

02

02

0

22

22

y

ghhv

x

huv

t

h

y

huv

x

ghhu

t

h

y

hv

x

hu

t

h

Page 7: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Computational Mesh or Grid

Grid 1 (641 elements)

Grid 2 - Coarse (2564 elements)

Grid 3 - Refined (10256 elements)

Page 8: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Computational Solution

Page 9: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Summary of Computational Sciences

Mesh or grid generation is similar for each discipline

Visualization is similar for each discipline

Numerical schemes are well understood

Unified framework for simulating a wide variety of computational science phenomena has been developed

Page 10: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Overview of Presentation

The computational sciences process The scope of the

computational sciences Current implementation Future computational platform Current needs/plans

Page 11: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Scope of the Computational Sciences

Almost any physical process can be modeled in 2D or 3D (except at the molecular level).

Models are based on conservation laws, so any physical process that obeys conservation laws can be modeled and simulated.

In 2D, most of these phenomena have been studied extensively via computational tools, so the algorithms are well understood and the typical interesting phenomena are well documented.

Page 12: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Water Waves

Page 13: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Aerospace Engineering

Page 14: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Hydraulic Engineering

Page 15: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Meteorology

Page 16: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Electro-Magnetics

Page 17: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Structural Dynamics and Mechanics

Page 18: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Underground Phenomena

Page 19: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Overview of Presentation

The computational sciences process The scope of the computational

sciences Current implementation Future computational platform Current needs/plans

Page 20: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Current Status Interface for selection

Cases Solver options Physical parameters

Computational Solver Air flow equations Water flow equations (as seen from

above) Visualizer

Page 21: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Shallow Water Interface

Page 22: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Images from simulation of channel contraction (flow from left to right)

Early in simulation Waves form within contraction

Waves begin to stabilize Final solution

Water depth is shown, red and white are high levels of water, while blue and black are low levels

Page 23: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

In-flow speed increased by approximately 20%

Solution from previous simulation

Increased flow rate forcing out slower and deeper water

Final Solution

Page 24: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Compressible (Air) Interface

Page 25: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Supersonic regimes for transonic flows

Page 26: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Transonic NACA 00124 deg, Ma = 0.75

Density Mach Number

Page 27: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Transonic NACA00120 deg, Ma=0.75

Density Mach Number

Page 28: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Shock waves from supersonic wing

Page 29: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Supersonic NACA 00124 degrees, Ma = 1.50

Density Mach Number

Page 30: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Field Test Summer 2008, Math department held a

weekly math camp for high school students These two computational packages were

used Lessons learned

The three codes need to be integrated within one package

Students quickly figured out how to use interface More guidance is needed to make these tools

effective educationally.

Page 31: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Overview of Presentation

The computational sciences process The scope of the computational

sciences Current implementation Future computational

platform Current needs/plans

Page 32: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Computational Platform Sony Playstation 3

Uses Cell Broadband Engine processor Performs math computations at

roughly 15-20 times faster than a single processor PC

Used in Dept of Energy’s Roadrunner supercomputer, the world’s fastest

Software must be completely redesigned and rewritten

Limited memory

Due to speed and limited memory, this machine is perfect for 2D interactive computational simulations

Page 33: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Overview of Presentation

The computational sciences process The scope of the computational

sciences Current implementation Future computational platform Current needs/plans

Page 34: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Current Needs/Plans Merge the three programs into one

program Internet based Sony PS3 based

Discipline specific expertise Expertise in designing and developing

effective museum exhibits Increase scope and depth for

computational sciences platform

Page 35: Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota

Science Museum of DiscoverySeptember 11, 2008

Clarence O. E. BurgUniversity of Central Arkansas

[email protected]

Thanks!