Monitoring of Dynamic Bridge Behaviour Using Digital Image Correlation

Bridges are a critical part of North America’s transportation network that need to be assessed frequently to inform bridge management decision making. Visual inspections are usually implemented for this purpose, during which inspectors must observe and report any excess displacements or vibrations. Unfortunately, these visual inspections are subjective and often highly variable and so a monitoring technology that can provide quantitative measurements to supplement inspections is needed. Digital Image Correlation (DIC) is a novel monitoring technology that uses digital images to measure displacement fields without any contact with the bridge. In this research, DIC and accelerometers were used to investigate the dynamic response of a railway bridge reported to experience large lateral displacements. Displacements were estimated using accelerometer measurements and were compared to DIC measurements. It was shown that accelerometers can provide reasonable estimates of displacement for zero-mean lateral displacements. By comparing measurements in the girder and in the piers, it was shown that for the bridge monitored, the large lateral displacements originated in the steel casting bearings positioned above the piers, and not in the piers themselves. The use of DIC for evaluating the effectiveness of rehabilitation of the LaSalle Causeway lift bridge in Kingston, Ontario was also investigated. Vertical displacements were measured at midspan and at the lifting end of the bridge during a static test and under dynamic live loading. The bridge displacements were well within the operating limits, however a gap at the lifting end of the bridge was identified. Rehabilitation of the bridge was conducted and by comparing measurements before and after rehabilitation, it was shown that the gap was successfully closed. Finally, DIC was used to monitor the midspan vertical and lateral displacements in a monitoring campaign of five steel rail bridges. DIC was also used to evaluate the effectiveness of structural rehabilitation of the lateral bracing of a bridge. Simple finite element models are developed using DIC measurements of displacement. Several lessons learned throughout this monitoring campaign are discussed in the hope of aiding future researchers.

Ablation of Steel by Microsecond Pulse Trains

Laser micromachining is an important material processing technique used in industry and medicine to produce parts with high precision. Control of the material removal process is imperative to obtain the desired part with minimal thermal damage to the surrounding material. Longer pulsed lasers, with pulse durations of milli- and microseconds, are used primarily for laser through-cutting and welding. In this work, a two-pulse sequence using microsecond pulse durations is demonstrated to achieve consistent material removal during percussion drilling when the delay between the pulses is properly defined. The light-matter interaction moves from a regime of surface morphology changes to melt and vapour ejection. Inline coherent imaging (ICI), a broadband, spatially-coherent imaging technique, is used to monitor the ablation process. The pulse parameter space is explored and the key regimes are determined. Material removal is observed when the pulse delay is on the order of the pulse duration. ICI is also used to directly observe the ablation process. Melt dynamics are characterized by monitoring surface changes during and after laser processing at several positions in and around the interaction region. Ablation is enhanced when the melt has time to flow back into the hole before the interaction with the second pulse begins. A phenomenological model is developed to understand the relationship between material removal and pulse delay. Based on melt refilling the interaction region, described by logistic growth, and heat loss, described by exponential decay, the model is fit to several datasets. The fit parameters reflect the pulse energies and durations used in the ablation experiments. For pulse durations of 50 us with pulse energies of 7.32 mJ +/- 0.09 mJ, the logisitic growth component of the model reaches half maximum after 8.3 us +/- 1.1 us and the exponential decays with a rate of 64 us +/- 15 us. The phenomenological model offers an interpretation of the material removal process.

Characterization of the Galactic White Dwarf Population in the Next Generation Virgo Cluster Survey

Halo white dwarfs remain one of the least studied stellar populations in the Milky Way because of their faint luminosities. Recent work has uncovered a population of hot white dwarfs which are thought to be remnants of low-mass Population II stars. This thesis uses optical data from the Next Generation Virgo Cluster Survey (NGVS) and ultravoilet data from the GALEX Ultraviolet Virgo Cluster Survey (GUViCS) to select candidates which may belong to this population of recently formed halo white dwarfs. A colour selection was used to separate white dwarfs from QSOs and main-sequence stars. Photometric distances are calculated using model colour-absolute magnitude relations. Proper motions are calculated by using the difference in positions between objects from the Sloan Digital Sky Survey and the NGVS. The proper motions are combined with the calculated photometric distances to calculate tangential velocities, as well as approximate Galactic space velocities. White dwarf candidates are characterized as belonging to either the disk or the halo using a variety of methods, including calculated scale heights (z> 1 kpc), tangential velocities (vt >200 km/s), and their location in (V,U) space. The 20 halo white dwarf candidates which were selected using Galactic space velocities are analyzed, and their colours and temperatures suggest that these objects represent some of the youngest white dwarfs in the Galactic halo.

Mitigating Social Risk in the Extractive Sector: Developing Intercultural Competence as a Tool for Negotiating Western-Indigenous Perspectives within the Undergraduate Mining Engineering Curriculum

Drawing upon critical, communications, and educational theories, this thesis develops a novel framing of the problem of social risk in the extractive sector, as it relates to the building of respectful relationships with indigenous peoples. Building upon Bakhtin’s dialogism, the thesis demonstrates the linkage of this aspect of social risk to professional education, and specifically, to the undergraduate mining engineering curriculum, and develops a framework for the development of skills related to intercultural competence in the education of mining engineers. The knowledge of social risk, as well as the level of intercultural competence, of students in the mining engineering program, is investigated through a mixture of surveys and focus groups – as is the impact of specific learning interventions. One aspect of this investigation is whether development of these attributes alters graduates’ conception of their identity as mining engineers, i.e. the range and scope of responsibilities, and understanding of to whom responsibilities are owed, and their role in building trusting relationships with communities. Survey results demonstrate that student openness to the perspectives of other cultures increases with exposure to the second year curriculum. Students became more knowledgeable about social dimensions of responsible mining, but not about cultural dimensions. Analysis of focus group data shows that students are highly motivated to improve community perspectives and acceptance. It is observed that students want to show respect for diverse peoples and communities where they will work, but they are hampered by their inability to appreciate the viewpoints of people who do not share their values. They embrace benefit sharing and environmental protection as norms, but they mistakenly conclude that opposition to mining is rooted in a lack of education rather than in cultural values. Three, sequential, threshold concepts are identified as impeding development of intercultural competence: Awareness and Acknowledgement of Different Forms of Knowledge; Recognition that Value Systems are a Function of Culture; Respect for varied perceptions of Social Wellbeing and Quality of Life. Future curriculum development in the undergraduate mining engineering program, as well as in other educational programs relevant to the extractive sector, can be effectively targeted by focusing on these threshold concepts.

Essays on Economics of Entrepreneurship

This dissertation examines three important issues. The first issue is about the human capital investment and entrepreneurship as a career choice. The standard human capital theory shows that firms (employees) never invest in general (firm-specific) human capital of the employee as they do not extract any return from it. However, when entrepreneurship is introduced as a career option for an innovative employee, both firm’s and employee’s human capital investments change. Employee starts investing in his firm-specific human capital to increase the probability to innovate (and to become an entrepreneur). However, the firm uses general human capital investment to reduce the risk of employee’s departure. The second issue is regarding the factors motivating entry regulations reforms and the possible nonlinear effects of entry regulation reforms. The current literature and the policy recommendations assume that these reforms have linear effects on entrepreneurship. Nevertheless, the anecdotal evidence shows that the outcomes of such reforms vary greatly from country to country. To investigate this issue, I collect a sample data on entry regulations and firm creation from World Bank. The empirical analysis indicates that the effect of entry regulation reforms depends on the pre-reform level of bureaucracy in the country. More specifically, while low-bureaucracy countries benefit from entry regulation reforms, high-bureaucracy countries do not benefit. Moreover, the probability of making a reform increases if the country has reformist neighbors, cumbersome entry regulations, high unemployment rate, or low corruption level. The last issue is related to the individual and joint effects of bureaucracy and corruption on different types of entrepreneurs. The current literature investigates these effects only on unified measures of entrepreneurship. However, entrepreneurs are very different in many senses. To address this issue, I collect the necessity-based and opportunity-based entrepreneurship data from Global Entrepreneurship Monitor. The empirical analysis yield two important results: First, bureaucracy has a direct negative (positive) effect on necessity-based (opportunity-based) entrepreneurs. Second, corruption mitigates the effect of bureaucracy for both groups of entrepreneurs. All three chapters offer useful insights and important implications to academics and policymakers.

Fiber-optic vibration sensing of cantilevers immersed in fluids

An all fiber-optical method to monitor densities and viscosities of liquids utilizing a steel cantilever (4 x 0.3 x 0.08 cm3) is presented. The actuation is performed by photothermally heating the cantilever at its base with an intensity-modulated 808 nm diode laser. The cantilever vibrations are picked up by an in-fiber Fabry Perot cavity sensor attached along the length of the cantilever. The fluid properties can be related to the resonance characteristics of the cantilever, e.g. a shift in the resonance frequency corresponds to a change in fluid density, and the width of the resonance peak gives information on the dynamic viscosity after calibration of the system. Aqueous glycerol, sucrose and ethanol samples in the range of 0.79–1.32 gcm−3 (density) and 0.89–702 mPas (viscosity) were used to investigate the limits of the sensor. A good agreement with literature values could be found with an average deviation of around 10 % for the dynamic viscosities, and 5–16 % for the mass densities. A variety of clear and opaque commercial spirits and an unknown viscous sample, e.g. home-made maple syrup, were analyzed and compared to literature values. The unique detection mechanism allows for the characterization of opaque samples and is superior to conventional microcantilever sensors. The method is expected to be beneficial in various industrial sectors such as quality control of food samples.

The Capital Sculpture of Wells Cathedral, c. 1184-1210

The understudied capital sculpture of Wells Cathedral in Somerset, England (c. 1184-1210) provides ample opportunity of expanding the current scholarship and understanding of interior ecclesiastical sculpture in a West Country cathedral. While the Gothic style of architecture is typically understood as, according to Paul Binski (2014), rational in execution and reception, the capital sculpture at Wells Cathedral has been considered illogical in terms of both its iconography and location within the nave, transepts, and north porch. Utilizing Michael Camille’s post/anti-iconographical approach, this project examines the Wells figural capitals in five case studies: labour, Old and New Testament Scenes, animals and beast fables, busts, and monsters and hybrids. Each group of capitals will be approached with an understanding that this type of art was viewed by people of different classes and professions, with each viewer bringing their own personal experiences and abilities into how they could have read and understood these types of images. Therefore, the capitals at Wells must be read through layers of meaning and interpretation while also considering their locations within the cathedral and how they react and respond to surrounding figural capitals.

MEDIUM-CHAIN-LENGTH POLY(3-HYDROXYALKANOATE) NANOPARTICLE SUSPENSIONS

The main goal of this thesis was to prepare medium-chain-length poly-3-hydroxyalkanoate (mcl-PHA) nanoparticle suspensions at high solids content (≥ 10 % w/v). A two-stage emulsification-solvent evaporation process was employed to produce poly-3-hydroxydecanoate (PHD) suspensions. The formulation and processing conditions including ultrasonication time and amplitude, selection of solvent, and selection of surfactants and their concentrations were investigated to make concentrated suspensions (10 and 30 % (w/v)) of PHD with particles less than 300 nm. Among the ionic surfactants tested to stabilize the suspension, the anionic, sodium dodecyl sulphate (SDS), and the cationic, dodecyltrimethylammonium bromide (DTAB) surfactants produced the smallest particle sizes (~100 nm). However, more stabilized nanoparticles were obtained when the ionic surfactant, SDS, was combined with any of the non-ionic surfactants tested, with polyoxyethylene octyl phenyl ether (Triton X-100) or polyoxyethylene (20) sorbitan monooleate (Tween 80) resulting in a slight increase in zeta potential over 30 days while the zeta potential with other non-ionic surfactants decreased. Mcl-PHA containing 11 and 18 % of carboxyl groups was synthesized via free radical addition reaction of 11-mercaptoundecanoic acid to the pendant double bonds of unsaturated poly-3-hydroxynonanoate (PHNU). Colloidal suspensions prepared by ultrasonication needed a surfactant to maintain stability, even at 0.4 % solids of mcl-PHA containing 11 % carboxylation (PHNC-1) unlike the stable suspensions prepared without surfactants by the titration method. Similar particle sizes (155.6 ± 8.4 to 163.4 ± 11.3 nm) and polydispersity indices (0.42 ± 0.03 to 0.49 ± 0.04) were obtained when several non-ionic surfactants were tested to minimize particle agglomeration, with the smallest particles obtained with Triton X-100. When Triton X-100 was combined with a variety of ionic surfactants, smaller nanoparticles (97.1 ± 1.1 to 121.7 ± 5.7 nm) with a narrower particle size distribution (0.21 ± 0.001 to 0.25 ± 0.003) were produced. The SDS and Triton X-100 combination was chosen to evaluate other mcl-PHAs at 10 % (w/v) solids content. Slightly smaller nanoparticles were formed with carboxylated mcl-PHAs compared to mcl-PHAs having aliphatic pendant side chains. Mcl-PHA consisting of 18 % carboxylation (PHNC-2) formed a much smaller nanoparticles and higher zeta potential.

Improved Accuracy in Optical Motion Capture Measurements Leads to Increased Sensitivity to Kinematic Changes

Clinical optical motion capture allows us to obtain kinematic and kinetic outcome measures that aid clinicians in diagnosing and treating different pathologies affecting healthy gait. The long term aim for gait centres is for subject-specific analyses that can predict, prevent, or reverse the effects of pathologies through gait retraining. To track the body, anatomical segment coordinate systems are commonly created by applying markers to the surface of the skin over specific, bony anatomy that is manually palpated. The location and placement of these markers is subjective and precision errors of up to 25mm have been reported [1]. Additionally, the selection of which anatomical landmarks to use in segment models can result in large angular differences; for example angular differences in the trunk can range up to 53o for the same motion depending on marker placement [2]. These errors can result in erroneous kinematic outcomes that either diminish or increase the apparent effects of a treatment or pathology compared to healthy data. Our goal was to improve the accuracy and precision of optical motion capture outcome measures. This thesis describes two separate studies. In the first study we aimed to establish an approach that would allow us to independently quantify the error among trunk models. Using this approach we determined if there was a best model to accurately track trunk motion. In the second study we designed a device to improve precision for test, re-test protocols that would also reduce the set-up time for motion capture experiments. Our method to compare a kinematically derived centre of mass velocity to one that was derived kinetically was successful in quantifying error among trunk models. Our findings indicate that models that use lateral shoulder markers as well as limit the translational degrees of freedom of the trunk through shared pelvic markers result in the least amount of error for the tasks we studied. We also successfully reduced intra- and inter-operator anatomical marker placement errors using a marker alignment device. The improved accuracy and precision resulting from the methods established in this thesis may lead to increased sensitivity to changes in kinematics, and ultimately result in more consistent treatment outcomes.

THE IMPORTANCE OF MHC-INDEPENDENT NATURAL KILLER CELL RECEPTORS IN THE IMMUNOREGULATION OF MURINE PREGNANCY

Numerous leukocyte populations are essential for pregnancy success. Uterine natural killer (uNK) cells are chief amongst these leukocytes and represent a unique lineage with limited cytotoxicity but abundant angiokine production. They possess a distinct phenotype of activating and inhibitory receptors that recognize major histocompatibility complex (MHC) molecules, such as the killer immunoglobulin like receptors (KIRs; mouse Ly49), and MHC-independent activating receptors, including the aryl hydrocarbon receptor (AHR) and natural cytotoxicity receptor 1 (NCR1). While the roles of MHC-dependent receptors are widely addressed in pregnancy, MHC-independent receptors are relatively unstudied. This thesis investigated the roles of MHC-independent receptors in promotion of mouse pregnancy and characterized early leukocyte interactions in the presence and absence of NCR1. It was hypothesized that loss of MHC-independent receptors impairs uNK cell development resulting in aberrations in leukocyte function and decidual vasculature. Implantation sites from Ahr-/- and Ncr1Gfp/Gfp mice were assessed using whole mount in situ immunohistochemistry (WM-IHC) and histochemical techniques. Leukocyte interactions identified during preliminary WM-IHC studies were confirmed as immune synapses. The novel identification of immune synapses in early mouse pregnancy compelled further examination of leukocyte conjugates in wildtype C57BL/6 and Ncr1Gfp/Gfp mice. In Ahr-/- and Ncr1Gfp/Gfp mice, receptor loss resulted in reduced uNK cell diameters, impaired decidual vasculature, and failures in spiral artery remodeling. Ahr-/- mice had severe fertility deficits whereas Ncr1Gfp/Gfp mice had increased fetal resorption indicating differing receptor requirements in pregnancy success. NCR1 loss primarily affected uNK cell maturation and function as identified by alterations in granule ultrastructure, lytic protein expression, and angiokine production. Leukocyte conjugates were frequent in early C57BL/6 decidua basalis and included uNK cells conjugating first with antigen presenting cells and then with T cells. Overall conjugate formation was reduced in the absence of NCR1, but specific uNK cell conjugations were unaffected by receptor loss. While KIR-MHC interactions are associated with numerous pregnancy complications in humans, the role of other uNK cell receptors are not well characterized. These results illustrate the importance of MHC-independent receptors in uNK cell activation during early pregnancy in mice and encourage further studies of pregnancy complications that may occur independently of maternal KIR-MHC contributions.

INVESTIGATING THE MECHANISM OF AUTOIMMUNE DISEASE ASSOCIATED-LQTS

The human ether-a-go-go-related gene (hERG) protein passes the rapidly activating delayed rectifier potassium channel (IKr), and malfunction of hERG protein/IKr is the primary cause of acquired long QT syndrome (LQTS). Autoimmune diseases are significantly correlated with prolonged QT intervals, for which autoantibodies have been implicated. The anti-Ro52 autoantibody is the most frequently evaluated, and importantly has been correlated with prolonged QT intervals. Pathological anti-Ro52-hERG interactions have been discussed as a mechanism for autoimmune disease-related LQTS. However, the mechanism is unclear, and it does not explain LQTS in autoimmune diseases which do not commonly express anti-Ro52. In this thesis, I investigated the effects of anti-Ro52 on hERG/IKr function. Through Western blot analysis, whole-cell patch-clamp, and immunofluorescence, I show that anti-Ro52 chronically (12 h) reduced hERG protein expression and hERG current by over 50%, but did not acutely block the channel. My work revealed a novel mechanism in which the Fc portion of anti-Ro52 interacts with the extracellular S5-pore linker of the channel to induce internalization through a tyrosine phosphorylation dependent pathway. This phenomenon extends beyond anti-Ro52 IgG, as other IgG, regardless of their antigen binding specificity, have the potential to reduce hERG expression/current. Rather, the ability of IgG to reduce hERG expression and current is dependent on the IgG subclass, as we show mouse IgG2A was the only mouse IgG subclass which reduced hERG expression. These results provide a novel explanation for autoimmune disease associated LQTS. It also has implications in the development of safe monoclonal antibody drugs.

ADVANCED ISLANDING DETECTION METHODS FOR SINGLE PHASE GRID CONNECTED PV INVERTERS

Due to the growing concerns associated with fossil fuels, emphasis has been placed on clean and sustainable energy generation. This has resulted in the increase in Photovoltaics (PV) units being integrated into the utility system. The integration of PV units has raised some concerns for utility power systems, including the consequences of failing to detect islanding. Numerous methods for islanding detection have been introduced in literature. They can be categorized into local methods and remote methods. The local methods are categorically divided into passive and active methods. Active methods generally have smaller Non-Detection Zone (NDZ) but the injecting disturbances will slightly degrade the power quality and reliability of the power system. Slip Mode Frequency Shift Islanding Detection Method (SMS IDM) is an active method that uses positive feedback for islanding detection. In this method, the phase angle of the converter is controlled to have a sinusoidal function of the deviation of the Point of Common Coupling (PCC) voltage frequency from the nominal grid frequency. This method has a non-detection zone which means it fails to detect islanding for specific local load conditions. If the SMS IDM employs a different function other than the sinusoidal function for drifting the phase angle of the inverter, its non-detection zone could be smaller. In addition, Advanced Slip Mode Frequency Shift Islanding Detection Method (Advanced SMS IDM), which has been introduced in this thesis, eliminates the non-detection zone of the SMS IDM. In this method the parameters of SMS IDM change based on the local load impedance value. Moreover, the stability of the system is investigated by developing the dynamical equations of the system for two operation modes; grid connected and islanded mode. It is mathematically proven that for some loading conditions the nominal frequency is an unstable point and the operation frequency slides to another stable point, while for other loading conditions the nominal frequency is the only stable point of the system upon islanding occurring. Simulation and experimental results show the accuracy of the proposed methods in detection of islanding and verify the validity of the mathematical analysis.

Adding Run-Time Monitoring to UML-RT by Modifying the Papyrus-RT Code Generator

In Model-Driven Engineering (MDE), the developer creates a model using a language such as Unified Modeling Language (UML) or UML for Real-Time (UML-RT) and uses tools such as Papyrus or Papyrus-RT that generate code for them based on the model they create. Tracing allows developers to get insights such as which events occur and timing information into their own application as it runs. We try to add monitoring capabilities using Linux Trace Toolkit: next generation (LTTng) to models created in UML-RT using Papyrus-RT. The implementation requires changing the code generator to add tracing statements for the events that the user wants to monitor to the generated code. We also change the makefile to automate the build process and we create an Extensible Markup Language (XML) file that allows developers to view their traces visually using Trace Compass, an Eclipse-based trace viewing tool. Finally, we validate our results using three models we create and trace.

THE HERPESVIRUS NUCLEAR EGRESS COMPLEX COMPONENT, UL31, IS RECRUITED TO SITES OF DNA DAMAGE THROUGH POLY(ADP-RIBOSE) BINDING

The herpes simplex virus (HSV) UL31 gene encodes a conserved member of the herpesvirus nuclear egress complex that not only functions in the egress of DNA-containing capsids from the nucleus, but is also required for optimal viral genome expression, replication and packaging into capsids. Here, we report that the UL31 protein from HSV-2 and the orthologous protein, ORF69, from Kaposi's sarcoma-associated herpesvirus (KSHV) are recruited to sites of DNA damage. Recruitment of UL31 to sites of DNA damage occurred in HSV-2 infected cells, but did not require other viral proteins. The N-terminus of UL31 contains sequences resembling a poly(ADP-ribose) (PAR) binding motif. As protein poly-ADP ribosylation (PARylation) is a hallmark of the DNA damage response we examined the relationship between PARylation and UL31 recruitment to DNA damage. While the PAR polymerase (PARP)1/2 inhibitor, olaparib, prevented UL31 recruitment to damaged DNA, KU55933 inhibition of signaling through the ataxia telangiectasia mutated (ATM) DNA damage response pathway had no effect. These findings were further supported by experiments demonstrating direct and specific interaction between HSV-2 UL31 and PAR using purified components. Co-transfection with the viral kinase Us3, known to phosphorylate UL31, inhibited UL31 recruitment to DNA damage but also prevented the recruitment of other proteins recruited to DNA damage sites. The viral E3 ubiquitin ligase ICP0 was observed to co-localize with UL31 in transfected cells in a manner that is independent of the PAR-binding ability of UL31. However, inhibition of PARP1/2/3 did not reduce the ability of HSV-2 to replicate and we observed reduced PAR levels in the nuclei of infected cells. This study reveals a previously unrecognized function for UL31 orthologs and may suggest that the recognition of PAR by UL31 is coupled to the nuclear egress of herpesvirus capsids, influences viral DNA replication and packaging, or possibly modulates the DNA damage response mounted by virally infected cells.

Codomain Rigidity of the Dirichlet to Neumann Operator for the Riemannian Wave Equation

We study the Dirichlet to Neumann operator for the Riemannian wave equation on a compact Riemannian manifold. If the Riemannian manifold is modelled as an elastic medium, this operator represents the data available to an observer on the boundary of the manifold when the manifold is set into motion through boundary vibrations. We study the Dirichlet to Neumann operator when vibrations are imposed and data recorded on disjoint sets, a useful setting for applications. We prove that this operator determines the Dirichlet to Neumann operator where sources and observations are on the same set, provided a spectral condition on the Laplace-Beltrami operator for the manifold is satisfied. We prove this by providing an implementable procedure for determining a portion of the Riemannian manifold near the area where sources are applied. Drawing on established results, an immediate corollary is that a compact Riemannian manifold can be reconstructed from the Dirichlet to Neumann operator where sources and observations are on disjoint sets.