Simulating large volumes of granular matter

dc.contributor.authorNicholas, Boen
dc.date.accessioned2016-11-18T14:44:48Z
dc.date.available2016-11-18T14:44:48Z
dc.date.graduationmonthDecember
dc.date.issued2016-12-01
dc.description.abstractModern techniques for simulating granular matter can produce excellent quality simulations, but usually involve a great enough performance cost to render them ineffective for real time applications. This leaves something to be desired for low-cost systems and interactive simulations which are more forgiving to inaccurate simulations, but much more strict in regards to the performance of the simulation itself. What follows is a proposal for a method of simulating granular matter that could potentially support millions of particles and several types for each particle while maintaining acceptable frame rates on consumer level hardware. By leveraging the power of consumer level graphics cards, effective data representation, and a model built around Cellular Automata a simulation can be run in real time.
dc.description.advisorDaniel Andresen
dc.description.degreeMaster of Science
dc.description.departmentDepartment of Computer Science
dc.description.levelMasters
dc.identifier.urihttp://hdl.handle.net/2097/34523
dc.language.isoen_US
dc.publisherKansas State University
dc.rights© the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectGranular Matter
dc.subjectSimulation
dc.subjectCellular Automata
dc.titleSimulating large volumes of granular matter
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
NicholasBoen2016.pdf
Size:
355.49 KB
Format:
Adobe Portable Document Format
Description:
Masters Thesis

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.62 KB
Format:
Item-specific license agreed upon to submission
Description: