UWSpace is currently experiencing technical difficulties resulting from its recent migration to a new version of its software. These technical issues are not affecting the submission and browse features of the site. UWaterloo community members may continue submitting items to UWSpace. We apologize for the inconvenience, and are actively working to resolve these technical issues.
 

Fast and Scalable Solvers for the Fluid Pressure Equations with Separating Solid Boundary Conditions

dc.contributor.authorLai, Junyu
dc.date.accessioned2021-06-01T16:52:52Z
dc.date.available2021-06-01T16:52:52Z
dc.date.issued2021-06-01
dc.date.submitted2021-05-10
dc.description.abstractWe propose and evaluate fast, scalable approaches for solving the linear complementarity problems (LCP) arising from the fluid pressure equations with separating solid boundary conditions. Specifically, we present a policy iteration method, a penalty method, and a modified multigrid method, and demonstrate that each is able to properly handle the desired boundary conditions. Moreover, we compare our proposed methods against existing approaches and show that our solvers are more efficient and exhibit better scaling behavior; that is, the number of iterations required for convergence is essentially independent of grid resolution, and thus they are faster at larger grid resolutions. For example, on a 256^3 grid our multigrid method was 30 times faster than the prior multigrid method in the literature.en
dc.identifier.urihttp://hdl.handle.net/10012/17054
dc.language.isoenen
dc.pendingfalse
dc.publisherUniversity of Waterlooen
dc.titleFast and Scalable Solvers for the Fluid Pressure Equations with Separating Solid Boundary Conditionsen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Mathematicsen
uws-etd.degree.departmentDavid R. Cheriton School of Computer Scienceen
uws-etd.degree.disciplineComputer Scienceen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.embargo.terms0en
uws.contributor.advisorWan, Justin
uws.contributor.affiliation1Faculty of Mathematicsen
uws.peerReviewStatusUnrevieweden
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Lai_Junyu.pdf
Size:
7.49 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.4 KB
Format:
Item-specific license agreed upon to submission
Description: