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Filtering by: Creator Almlie, C. Kyle Remove constraint Creator: Almlie, C. Kyle Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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  • Reducing Biogeochemical Models with an Automated Reduction Method

    Creator:
    Klee, Emily
    Abstract:
    Modeling elementary chemical reactions in ocean fluid dynamics simulations requires significant computing resources, which can be diminished with model reduction techniques. Submesoscale ocean turbulence and biogeochemical reactions in the ocean occur on approximately the same time scale, 105 seconds. This similarity in time scales indicates a strong coupling between these...
    Resource Type:
    Masters Thesis
    Full Text:
    Biogeochemical Models with an Automated Reduction Method Abstract approved: Kyle E. Niemeyer Modeling

  • Computational Investigation on the Effects of Arc Location in Vacuum Arc Remelting

    Creator:
    Soler, Miguel
    Abstract:
    Vacuum arc remelting (VAR) is a secondary melting process for exotic alloys. The main purpose of this process is to increase the input ingot’s physical and chemical homogeneity. This is accomplished through the application of a high current that melts the material through the emergence of electrical arcs that induce...
    Resource Type:
    Masters Thesis
    Full Text:
    : Computational Investigation on the Effects of Arc Location in Vacuum Arc Remelting Abstract approved: Kyle E

  • GPU-Based Fluid-Structure Interaction using Immersed Boundary Methods

    Creator:
    Minar, Christopher
    Abstract:
    Engineering applications often require fast, accurate solutions of fluid flow around freely moving bodies. The massive parallelism enabled by graphics processing unit (GPU) architecture enables high performance, offering a promising alternative to traditional solver acceleration via multicore central processing units (CPU). However, fully harnessing GPU parallelism requires specialized algorithms and...
    Resource Type:
    Masters Thesis
    Full Text:
    Fluid-Structure Interaction using Immersed Boundary Methods Abstract approved: Kyle Niemeyer

  • Evaluating Stiffness Metrics for Predicting the Cost of Chemical Kinetics Integration

    Creator:
    Alferman, Andrew Thomas
    Abstract:
    Simulations of combustion and reacting flows often encounter stiffness in the equations governing chemical kinetics. Explicit solvers for these ordinary differential equations offer low computational expense, but typically cannot efficiently handle stiff systems. In contrast, implicit methods demand greater expense but offer unconditional stability—as a result, most reactive-flow solvers rely...
    Resource Type:
    Masters Thesis
    Full Text:
    Stiffness Metrics for Predicting the Cost of Chemical Kinetics Integration Abstract approved: Kyle

  • Swept time-space domain decomposition on GPUs and heterogeneous computing systems

    Creator:
    Magee, Daniel J.
    Abstract:
    Modern scientific and engineering problems often require simulations with a level of resolution difficult to achieve in reasonable amounts of time—even in effectively parallelized programs. Therefore, applications that exploit high performance computing (HPC) systems have become invaluable in academia and industry over the past two decades. Addressing the questions that...
    Resource Type:
    Masters Thesis
    Full Text:
    -space domain decomposition on GPUs and heterogeneous computing systems Abstract approved: Kyle

  • Computational Study of Smoldering Combustion in Cellulose and Hemicellulose Mixtures

    Creator:
    Mulky, Tejas Chandrashekhar
    Abstract:
    Due to global warming wildland fires are increasing in frequency and severity. In the case of wildland fires, the major modes of combustion occur include smoldering combustion and flaming combustion. Smoldering combustion occurs most commonly in porous fuels like peat, forest duff, and woody fuels, which are available in abundance...
    Resource Type:
    Masters Thesis
    Full Text:
    : Computational Study of Smoldering Combustion in Cellulose and Hemicellulose Mixtures Abstract approved: Kyle E

  • Predicting Properties of Bio-jet Fuels using Machine Learning and ATR-FTIR Spectroscopy

    Creator:
    Mayer, Morgan A.
    Abstract:
    High-potential molecules derived from biomass sources may suitably replace or supplement traditional nonrenewable hydrocarbon fuels to reduce pollution and fuel processing costs. Due to expensive and time-consuming property testing, models that predict key properties from optical data would initially vet potential additives before investment and bench-scale testing. Attenuated Total Reflection...
    Resource Type:
    Masters Thesis
    Full Text:
    : Kyle E. Niemeyer High-potential molecules derived from biomass sources may suitably replace or supple

  • The impacts of ionization chemistry on hydrocarbon detonation

    Creator:
    Zaiger, Matthew F.
    Abstract:
    As carbon emissions are negatively impacting ecosystems across the globe, researchers are in a race against time to provide cleaner and more eÿcient power. Detonation engines can help meet the increasing demands for cleaner and more eÿcient power generation by providing an alternative means to use oxy-fuel combustion for carbon...
    Resource Type:
    Masters Thesis
    Full Text:
    Impacts of Ionization Chemistry on Hydrocarbon Detonation Abstract approved: Kyle E. Niemeyer As carbon

  • Simulating Soot Formation and Growth using a Parallel Coupled Monte Carlo Method

    Creator:
    Peters, Jordan
    Abstract:
    Small hydrocarbon particles such as soot and soot precursors pose a serious threat to human health and Earth's climate. Understanding the mechanisms by which soot particles form and grow is the first step to reducing the prevalence of these particles. Computational simulations are used to investigate combusting systems which are...
    Resource Type:
    Masters Thesis
    Full Text:
    : Simulating Soot Formation and Growth using a Parallel Coupled Monte Carlo Method Abstract approved: Kyle E

  • Soot Modeling: GPU Accelerated Direct Simulation Monte Carlo

    Creator:
    Lorson, Paige
    Abstract:
    For this project, we designed a soot modeling software to produce a full particle density function. This model uses the Direct Simulation Monte Carlo with a full conditioning particle selection method to capture soot nucleation and coagulation in a diffusion flame. We investigate the use of graphic processing units as...
    Resource Type:
    Capstone Project
    Full Text:
    . Title: Soot Modeling: GPU Accelerated Direct Simulation Monte Carlo Abstract approved: Dr. Kyle