Browsing by Subject "Fluid mechanics"
Now showing items 1-9 of 9
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An Investigation into the Multiscale Nature of Turbulence and its Effect on Particle Transport
(2022)We study the effect of the multiscale properties of turbulence on particle transport, specifically looking at the physical mechanisms by which different turbulent flow scales impact the settling speeds of particles in turbulent ... -
Analyzing Hydrodynamic Properties of the North Atlantic Right Whales with Computer Solutions
(2020)Animals experience hydrodynamic forces (lift, drag, and side) and moments (pitching, yawing, and rolling) as a result of motion in an aqueous medium. Under selective pressure, most cetaceans, including porpoises, dolphins, ... -
Capillary Water Behavior During Evaporation of Granular Media
(2018)Intense studies on evaporation in fluid systems have been conducted over the past decades, mainly on sessile droplets which are the simplest bodies to simulate. In this thesis, the evaporation process of a water bridge between ... -
Digital Microfluidics for the Detection of Inorganic Ions in Aerosols
(2018)The quantitative measurement of inorganic ions in the atmosphere is an important aspect in environmental science. The three most important inorganic ions are sulfate, nitrate and ammonium, which are the most abundant components ... -
Flexural Wave Based Acoustofluidic Devices
(2020)Microfluidic technologies, and the subset of devices that integrate acoustics into their designs (known as acoustofluidic devices), present great potential for solving the challenges of the future. One specific subset of ... -
Models To Derive the Resonant Frequency of a Liquid in a Rectangular Tank With a Curved Bottom
(2021)This thesis investigates the resonant frequency of a partially-filled rectangular tank of water with a curved bottom that is subject to a horizontal harmonic excitation. The primary goal was to find a model that can accurately ... -
On Improving the Predictable Accuracy of Reduced-order Models for Fluid Flows
(2020)The proper orthogonal decomposition (POD) is a classic method to construct empirical, linear modal bases which are optimal in a mean L2 sense. A subset of these modes can form the basis of a dynamical reduced-order model ... -
Statistical Learning of Particle Dispersion in Turbulence and Modeling Turbulence via Deep Learning Techniques
(2021)Turbulence is a complex dynamical system that is strongly high-dimensional, non-linear, non-local and chaotic with a broad range of interacting scales that vary over space and time. It is a common characteristic of fluid ... -
The Lid-Driven Cavity's Many Bifurcations - A Study of How and Where They Occur
(2017)Computational simulations of a two-dimensional incompressible regularized lid-driven cavity were performed and analyzed to identify the dynamic behavior of the flow through multiple bifurcations which ultimately result in ...
