GPU computing of yield stress fluid flows in narrow gaps
department or school: Applied Science, Faculty of
department or school: Mechanical Engineering, Department of
data provider: DSpace
degree campus: UBCV
creator: Medina Lino, Ivonne Leonor
issued: 2023-07-17T22:12:29Z
issued: 2023
related degree: Master of Applied Science - MASc
degree grantor: University of British Columbia
description: We present a GPU implementation of non-Newtonian Hele-Shaw flow that models the displacement of Herschel-Bulkley fluids along narrow eccentric annuli. This flow is characteristic of many long-thin flows that require extensive calculation due to an inherent nonlinearity in the constitutive law. A common method of dealing with such flows is via an augmented Lagrangian algorithm, which is often painfully slow. Here we show that such algorithms, although involving slow iterations, can often be accelerated via parallel implementation on graphic processor units (GPUs). Indeed, such algorithms explicitly solve the nonlinear aspects only locally on each mesh cell (or node), which makes them ideal candidates for GPU. Combined with other advances, the optimized GPU implementation takes ≈ 2.5% of the time of the original algorithm.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/85258
note: GPU computing of yield stress fluid flows in narrow gapsbyIvonne Leonor Medina LinoB.Sc., National Autonomous University of Mexico, 2013M.Sc., The University of Nottingham, 2016A THESIS SUBMITTED IN PARTIAL FULFILLMENTOF THE REQUIREMENTS FOR THE DEGREE OFMaster of Applied ScienceinTHE FACULTY OF GRADUATE AND POSTDOCTORALSTUDIES(Mechanical Engineering)The University of British Columbia(Vancouver)July 2023© Ivonne Leonor Medina Lino, 2023The following individuals certify that they have read, and recommend to theFaculty of Graduate and Postdoctoral Studies for acceptance,the thesis entitled:GPU computing of yield stress fluid flows in narrow gapssubmitted by Ivonne Leonor Medina Lino in partial fulfillmentof the requirements for the degree of Master of Applied Sciencein Mechanical EngineeringExamining Committee:Ian Frigaard, Professor, Mechanical Engineering Department, UBCSupervisorDana Grecov, Professor, Mechanical Engineering Department, UBCSupervisory Committee MemberCarl Ollivier-Gooch, Professor, Mechanical Engineering Department, UBCSupervisory Committee MemberiiAbstractWe present a GPU implementation of non-Newtonian Hele-Shaw flow that modelsthe displacement of Herschel-Bulkley fluids along narrow eccentric annuli. Thisflow is characteristic of many long-thin flows that require extensive calculationdue to an inherent nonlinearity in the constitutive law. A common method of deal-ing with such flows is via an augmented Lagrangian algorithm, which is oftenpainfully slow. Here we show that such algorithms, although involving slow iter-ations, can often be accelerated via parallel implementation on graphic processorunits (GPUs). Indeed, such algorithms explicitly solve the nonlinear aspects onlylocally on each mesh cell (or node), which makes them ideal candidates for GPU.Combined with other advances, the optimized GPU implementation takes ≈ 2.5%of the time of the original algorithm.iiiLay SummaryThe study of non-Newtonian fluids is a very dynamic field of science …
has type: Thesis/Dissertation
date issued: 2023-11
is shown at: 10.14288/1.0434224
language: eng
degree discipline: Mechanical Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Frigaard, Ian
type: Text
identifier URI: http://hdl.handle.net/2429/85258