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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 11D Navier_Stokes Equation
- 1Atomic force microscopy
- 1Charge-heterogeneity
- 1Colloid deposition
- 1Deposit morphology
- 1Electrostatics
Results for "Probability Distributions on a Circle"
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Spring 2016
the probability of successfully sending a required amount of flow, d, from node s to node t, which is the probability that the flow throughput is not less than d. The capacity (state) of each component can take discrete, non-negative integer values from 0 to its maximum capacity, following a certain
probability distribution. The overall objective of multistate network reliability is to provide engineers and managers useful tools to enhance their ability for design and maintenance of such networks. However, despite the increasing complexity of modern networks, the size of the network that can be analyzed
focus on one specific demand at a time. However, during the design phase or operation phase, we are often interested in system reliability with respect to multiple possible demand levels, in order to obtain a complete picture of the system capability. Thus, an efficient and systematic method is
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Spring 2019
method.Studies are performed on improving risk-based maintenance strategies, which are currently widely adopted in pipeline industry. A simulation-based approach is developed for cost evaluation for pipelines with corrosion defects. The probability of failure (PoF) threshold is used as input random variable
effective pipeline integrity management system. This thesis provides a comprehensive review and fundamental knowledge on pipeline integrity management based on ILI data. Physics-based models and data-driven methods for predicting defect growth for pipelines with different categories of defects are discussed
needed to accurately evaluate defects based on ILI data, predict defect growth and optimize integrity activities to prevent pipeline failures, and pipeline integrity management has drawn extensive and growing research interests.The aim of this thesis is to develop effective prognostics and risk-based
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Fall 2009
study indicates that particles tend to preferentially deposit at the edges of the chemically favourable stripes. The theoretical investigation involved the formulation of a mathematical model based on Random Sequential Adsorption (RSA). This study showed that a simple binary probability distribution
This dissertation investigates the influence of surface heterogeneities on colloid deposition. First, deposition of colloidal particles on a nanofiltration membrane during cross flow membrane filtration was studied under different operating pressures and solution chemistries. An atomic force
assumed in the model is able to predict the experimental deposit morphology adequately, particularly the periodicity of the underlying patterns on the substrate. Furthermore, the effect of charge heterogeneity on the electrostatic double layer interaction between a particle and a charge heterogeneous
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Wind Resource Assessment for the Donadeo Innovation Centre for Engineering (DICE) building at the University of Alberta North Campus
DownloadSpring 2018
anemometer. Data were recorded with a constructed datalogger, which allowed us to reduce equipment cost. Data of the month of February was processed and different statistical tools were used, including daily and hourly mean averages, wind roses, and Rayleigh wind probability distribution to determine the
length scale were determined based on Taylorâs hypothesis. These calculations approximated the size of the turbulent elements present in the urban environment. The DICE building presented higher wind speeds than the Tory building, and has a wind power density comparable to coastal areas. However the
turbulence intensity is extremely high compared to the open ground and coastal zones. There was a small reduction in the turbulence intensity when using 1 min. averaging time, showing that 10 min. gives an upper estimation for turbulence intensity which can be used as a conservative approach when assessing a
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Flow Convergence and Pressure Loss Characteristics in Viscous Flow through Rectangular Orifices with Applications in Porous Media
DownloadSpring 2020
production. The flow contraction caused by the presence of these slots leads to significant pressure loss in the flow increasing the probability of well failure due to plugging. Scrutinizing the underlying physics reveals a flow convergence phenomenon in the incoming flow of produced oil which is
rectangular orifice. The research first investigates the flow through an open slot to model the pressure loss as a function of AR and the flow Reynolds number. A semi-empirical model is developed for the pressure loss coefficient as a function of AR and flow convergence. The analytical modeling is based on
the 1 dimensional Navier-Stokes equation and an asymptotic velocity transition model for a Gaussian velocity distribution. The loss coefficient decreased for increasing AR as per the model, agreeing with the hypothesized relationship regarding the streamline curvature and AR. A large scale flow