Cellular Automata for Structural Optimization on Recongfigurable Computers

Structural analysis and design optimization is important to a wide variety of disciplines. The current methods for these tasks require significant time and computing resources. Reconfigurable computers have shown the ability to speed up many applications, but are unable to handle efficiently the precision requirements for traditional analysis and optimization techniques. Cellular automata theory provides a method to model these problems in a format conducive to representation on a reconfigurable computer. The calculations do not need to be executed with high precision and can be performed in parallel. By implementing cellular automata simulations on a reconfigurable computer, structural analysis and design optimization can be performed significantly faster than conventional methods.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2004

Author dc:creator

• Hartka, Thomas Ryan

Chair dc:contributor.committeechair

• Jones, Mark T.

Committee members dc:contributor.committeemember

• Hsiao, Michael S.
• Athanas, Peter M.

• design optimization
• cellular automata
• congurable computing

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

etd-06102004-224645

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/33508