interactive computational sciences laboratory clarence o. e. burg assistant professor of mathematics...
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Interactive Computational Sciences Laboratory
Clarence O. E. BurgAssistant Professor of MathematicsUniversity of Central Arkansas
Science Museum of MinnesotaSeptember 11, 2008
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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”
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Overview of Presentation
The computational sciences process The scope of the computational
sciences Current implementation Future computational platform Current needs/plans
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Overview of Presentation
The computational sciences process
The scope of the computational sciences
Current implementation Future computational platform Current needs/plans
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Computational Mesh or Grid
Grid 1 (641 elements)
Grid 2 - Coarse (2564 elements)
Grid 3 - Refined (10256 elements)
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Computational Solution
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Overview of Presentation
The computational sciences process The scope of the
computational sciences Current implementation Future computational platform Current needs/plans
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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.
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Water Waves
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Aerospace Engineering
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Hydraulic Engineering
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Meteorology
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Electro-Magnetics
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Structural Dynamics and Mechanics
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Underground Phenomena
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Overview of Presentation
The computational sciences process The scope of the computational
sciences Current implementation Future computational platform Current needs/plans
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Current Status Interface for selection
Cases Solver options Physical parameters
Computational Solver Air flow equations Water flow equations (as seen from
above) Visualizer
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Shallow Water Interface
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
In-flow speed increased by approximately 20%
Solution from previous simulation
Increased flow rate forcing out slower and deeper water
Final Solution
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Compressible (Air) Interface
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Supersonic regimes for transonic flows
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Transonic NACA 00124 deg, Ma = 0.75
Density Mach Number
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Transonic NACA00120 deg, Ma=0.75
Density Mach Number
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Shock waves from supersonic wing
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Supersonic NACA 00124 degrees, Ma = 1.50
Density Mach Number
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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.
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Overview of Presentation
The computational sciences process The scope of the computational
sciences Current implementation Future computational
platform Current needs/plans
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Overview of Presentation
The computational sciences process The scope of the computational
sciences Current implementation Future computational platform Current needs/plans
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
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
Science Museum of DiscoverySeptember 11, 2008
Clarence O. E. BurgUniversity of Central Arkansas
Thanks!