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- Resource Type:
- Report
- Creator:
- Lowry, Kelly
- Abstract:
- The growing interest in the long-term performance of pile foundations and their ability to resist the negative effects of water exposure and aggressive soils has led to considering non-corrosive materials such as fibre-reinforced polymer (FRP). The most common applications are light-bearing structures in waterfront environments, while applications for larger structures have not been widely accepted in industry due to the lack of long-term records and design guidelines available. Previous research has primarily focused on the load transfer of concrete-filled FRP tubes—making it difficult to quantify the performance of FRP as a piling material on its own. In this study, a numerical model using the finite element method was developed to simulate small-scale load tests of hollow carbon-fibre reinforced polymer (CFRP) and glass-fibre reinforced polymer (GFRP) piles in soft clay. Verification of the model was attained using results from axial and lateral load tests on small-scale hollow CFRP and GFRP piles and pile-soil interaction was modelled using experimental data from interface shear tests conducted at Carleton University. A parametric analysis was performed to investigate and determine the key factors that influence the axial and lateral load response of hollow FRP piles. The findings of this research indicate that the number of FRP layers impacts loading behaviour significantly, while inner tube soil height has a reasonable influence on axial load response and fibre orientation has a minor effect under lateral load conditions.
- Date Created:
- 2022-12-23
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- Resource Type:
- Thesis
- Creator:
- von Zuben, Elizabeth Lynn
- Abstract:
- As identified in the 2021 IPCC AR6 WGIII report, wind energy has a high potential to reduce greenhouse gas emissions. The deployment of wind energy, however, has fallen behind its potential in part because of the need for improved wind power predictions. This thesis combines historical power production data, meteorological station data, reanalysis data, and numerical weather prediction output data (WRF model) to determine the optimal combination of data sources and variables for wind power prediction using a random forests model. A study then further evaluates reanalysis data and methods of bias correction for this type of data, to improve power predictions at 52 wind farms across Canada using power curve and machine learning methods. Recommendations are proposed for: the use of data sources and important input variables; the utility of global reanalysis data sources by terrain features; and the utility of bias correction methods for downstream wind power prediction.
- Thesis Degree:
- Master of Applied Science (M.App.Sc.)
- Thesis Degree Discipline:
- Engineering, Mechanical
- Date Created:
- 2022
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- Resource Type:
- Thesis
- Creator:
- Kuri, Sajib Kumar
- Abstract:
- Segment Routing over IPv6, also known as SRv6, is a modern networking solution that aims to improve the current Internet of Things (IoT) network's reliability, availability, and scalability. Performance measures are required to evaluate SRv6 behaviors or functions. The proposed work aims to provide real IoT traffic profiles to assess the performance of SRv6 behaviors. In particular, a three-module SRv6 programming model is proposed to measure the performance of SRv6 policy headend and endpoint behavior and ensure reliability and quality of service (QoS). Moreover, a novel finder algorithm for maximum receive rate (MRR) benchmarking is proposed, which can outperform existing techniques in terms of throughput/bandwidth performance while maintaining the same computational resources. Finally, implementation results provide insights into forwarding different IoT use-cases traffic based on the functional service requirements. That also ensures a higher usage level of existing IoT networks, minimizing the need for additional capacity and lowering network costs.
- Thesis Degree:
- Master of Applied Science (M.App.Sc.)
- Thesis Degree Discipline:
- Engineering, Electrical and Computer
- Date Created:
- 2022
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- Resource Type:
- Thesis
- Creator:
- Naranjo Vera, Mairelys
- Abstract:
- The wood frog, Rana sylvatica, is well known for its freeze tolerance ability. To endure winter, frozen frogs switch to a hypometabolic state via transcriptional regulation. Histone methylation is known to play a crucial role in regulating gene transcription. However, histone arginine methylation or demethylation has not previously been studied in the context of freeze tolerance. This thesis presents the first characterization of arginine methylation in a freeze tolerant vertebrate. Overall, levels of protein arginine methyltransferases (PRMTs) and methylated histone residues showed differential regulation over the freeze/thaw-cycle in wood frog liver. All PRMTs and downstream targets showed no changes during freezing, but protein levels of targets associated with transcription activation were elevated during thaw in skeletal muscle. Differential levels of histone demethylases were found in both tissues among the experimental conditions. These results indicate a role for histone methylation in supporting metabolic rate depression and tissue homeostasis during freezing.
- Thesis Degree:
- Master of Science (M.Sc.)
- Thesis Degree Discipline:
- Biology
- Date Created:
- 2022
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- Resource Type:
- Thesis
- Creator:
- Augustin, Claudia Tharis
- Abstract:
- The Americano do Brasil and Mangabal Complexes belong to a cluster of Neoproterozoic mafic-ultramafic intrusions in the southern Goiás Magmatic Arc in Brazil that lies within the Brasília Belt, a complex, long-lived Neoproterozoic Orogen that formed during the amalgamation of the São Francisco/Congo, Amazonian, and Paranapanema Cratons in western Gondwana. Although deformed and partially recrystallized by a regional metamorphic overprint, the rocks of both complexes still preserve igneous textures. The rocks in both complexes show cumulate textures that range from adcumulate to orthocumulate. Petrography, geochemistry, geochronology, and petrological modeling were carried out to constrain the petrogenesis of the complexes. Modeling indicates that the parental magma for the Americano do Brasil Complex had an OIB-like Fe-rich picrite composition, while the parental magma of the Mangabal Complex could have been a tholeiitic basalt. Considering the temporal and spatial correlations, decompression melting of upwelling asthenosphere triggered by rollback subduction and/or influence of a mantle plume are plausible mechanisms to explain the petrogenesis of these mafic-ultramafic intrusions in the vicinities of the eastern Arenópolis arc and westernmost Anápolis-Itauçu belt. The complexes have experienced a protracted metamorphic evolution with peaks indicating amphibolite facies. The rock from both complexes shows late-stage alteration associated with metasomatism by CO2-Ca-S-rich fluids.
- Thesis Degree:
- Doctor of Philosophy (Ph.D.)
- Thesis Degree Discipline:
- Earth Sciences
- Date Created:
- 2022
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- Resource Type:
- Thesis
- Creator:
- Paul, Subhendu
- Abstract:
- This thesis investigates several issues (incubation and recovery periods, effect of lockdown, digital prognosis, prediction of new cases) of the pandemic COVID-19 based on mathematical models, computational methods and a publicly available database. Traditional compartment-based models have various partitions such as lockdown, susceptible, infected, confirmed cases, recovered, deaths, etc., with the inclusion of several model parameters. The first model is based on a set of coupled delay differential equations with fourteen delays to estimate the incubation period. The estimated mean incubation period we obtain is 6.74 days (95% Confidence Interval (CI): 6.35 to 7.13), and the 90th percentile is 11.64 days (95% CI: 11.22 to 12.17), which is a good agreement with statistical supported studies. The second model is a large-scale extension of the first model, including several hundred groups for recovered individuals and the death toll. This proposed model generates a new refined database of recovery as well as the death toll, the key source for studying recovery and decease periods. The estimated mean recovery period we obtain is 22.14 days (95% CI: 22.00 to 22.27), and the 90th percentile is 28.91 days (95% CI: 28.71 to 29.13), which is in agreement with statistical-supported studies. The third model is an extended SIRS model that includes lockdown as a model compartment. In addition, an electronic application has been developed that allows for a rapid digital prognosis of COVID-19 patients using the information, extracted from the publicly available database of Canadian patients. This tool aims to assist health specialists in their decision regarding COVID-19 patients, based on symptoms and age. Finally, a hybrid approach, a combination of neural networks, inverse problem and Taylor series expansion, based on a second order nonlinear differential equation for the total cases has been derived to forecast COVID-19 cases. The test results show that the proposed prediction model can forecast a range of 55 days.
- Thesis Degree:
- Doctor of Philosophy (Ph.D.)
- Thesis Degree Discipline:
- Applied Mathematics
- Date Created:
- 2022
-
- Resource Type:
- Thesis
- Creator:
- Robertson, Taylor
- Abstract:
- A novel ceramic matrix composite (CMC) system consisting of a commercially available SiC fibre, variations of electrophoretically deposited (EPD) fibre-matrix interphases, and a liquid metal melt infiltrated matrix was designed and characterised. A factorial design of experiments approach was undertaken to evaluate the deposition variables which would result in a functioning fibre-matrix interphase. A 25-2 partial factorial design matrix was selected with factors: electric potential, deposition time, surfactant, binder, and solids loading. The design matrix was replicated for four different EPD fibre-matrix interphase coating combinations: Al2O3/SiC, BN/PSZ, ZrC/ZTA, and SiC/Si3N4/SiC. Microcomposites were evaluated for tensile properties using a standard displacement controlled tensile test program. Microcomposites were tested at room temperature immediately following fabrication and following exposure to a standard atmosphere at 1000 °C for 1 h. Samples with ZrC/ZTA and SiC/Si3N4/SiC coatings demonstrated the best tensile properties in room temperature tests while samples with BN/PSZ and SiC/Si3N4/SiC coatings demonstrated the best retention of tensile properties following high temperature exposure. Subsequent SEM analysis revealed that coatings with smaller particle diameters as the inner layer of the fibre-matrix interphase coating produced more uniform coatings and the less fibre degradation due to oxidation following high temperature exposure. Additional microcomposites were fabricated for high temperature tensile testing; however, these samples were unable to bear recordable loads, an SEM examination revealed significant degradation of the matrix phase beneath the high temperature adhesive. Optical microscopy was used to evaluate coating thicknesses of coated fibre bundles prior to heat treatments. Measured coating thickness indicated that generally higher deposition times resulted in thicker coatings; however, coatings produced using 25 V electric potential were thicker than coatings produced using 12.5 V and 50 V electric potentials. This is likely due to a greater deposition efficiency factor at 25 V. FEA analysis was used to evaluate the electrical properties of an idealized version of the stationary EPD cell. This analysis showed a significant variation in the electric field along the fibre axis as well as a significant variation in electrical field between fibres in the centre of the fibre bundle and on the outer edge of the fibre bundle.
- Thesis Degree:
- Doctor of Philosophy (Ph.D.)
- Thesis Degree Discipline:
- Engineering, Mechanical
- Date Created:
- 2022
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- Resource Type:
- Thesis
- Creator:
- Jones, Lee
- Abstract:
- Electronic textiles (e-textiles) combine the conductive properties of metallic threads with increasingly small computers and microcontrollers to create textiles that are interactive. E-textiles enable new opportunities such as devices that are strong yet flexible, and the ability to use more accessible crafting tools and materials. They also allow technology to blend into the textiles we have in our lives, such as those on our bodies and in our homes. In education, e-textiles are incorporated into curriculums for how they can increase participation in physical computing, while also enabling new creative and expressive applications. Yet blending the fields of physical computing and textiles is not simple, since each has its own culture of terminology, design and prototyping practices, tools, techniques, and methods of documentation. The goal of this thesis is to support beginners in learning the hybrid craft of e-textiles with e-textile learning scaffolds. Rather than building e-textiles from scratch, e-textile learning scaffolds are activities for supporting novices as they learn e-textile concepts and practice the tacit aspects of the craft. One central research question runs throughout the projects in this thesis: "How can we scaffold e-textile ideation and experiential learning with tangible objects and activities?" This thesis contributes five studies, each providing a tangible scaffold or activity, or scaffolding recommendations, for teaching e-textiles in courses or workshops. The design of these learning scaffolds focused on how they could be accessible to educators by prioritizing reproducibility, re-use, and low-cost.
- Thesis Degree:
- Doctor of Philosophy (Ph.D.)
- Thesis Degree Discipline:
- Information Technology (Digital Media)
- Date Created:
- 2022
-
- Resource Type:
- Thesis
- Creator:
- Ferguson, Madison Quinn
- Abstract:
- Given that the number of people who are diagnosed with diabetes continues to rise at an alarming rate, there is a pressing need for therapeutic interventions that are either more efficient or potentially curative. Furthermore, comorbidities such as kidney failure, thrombosis, thyroid dysfunction, Alzheimer's disease, and an increased risk of severe illness from common viral and bacterial infections are more likely to occur in people who have type 2 diabetes. The advancement of nanotechnology may lead to the diagnostics and therapies that could improve the survival and quality of life of patients with diabetes. Aptamers are oligonucleotides that have the ability to bind to a particular target with a high degree of specificity as well as affinity. Systematic evolution of ligands by exponential enrichment (SELEX) is an in vitro evolution method that is responsible for the generation of aptamers. It has been shown that aptamers may function as medicines, diagnostics, theragnostics, targeted delivery vehicles, responsive materials and more. This work examines the application of aptamers to diabetes and related comorbidities. The selection and preliminary characterization of aptamers able to interact with Islet amyloid polypeptide (IAPP), a potential causative factor in the development of type II diabetes, are described. An aptamer-based diagnostic for the acute kidney failure biomarker neutrophil gelatinase lipocalin protein is also developed. An aptamer-modified janus nanoparticle system is investigated as a potential theragnostic for thrombosis that could combine photothermal therapy and magnetic resonance imaging. Finally, aptamers for the spike protein component 2 of SARS-CoV2 and a database for aptamer selection experiments are briefly described.
- Thesis Degree:
- Doctor of Philosophy (Ph.D.)
- Thesis Degree Discipline:
- Chemistry
- Date Created:
- 2022
-
- Resource Type:
- Thesis
- Creator:
- Sankhe, Aditi Sajjala
- Abstract:
- Fructose is a monosaccharide present in food items consumed, and its increased consumption over time has increased development of metabolic diseases, such as obesity. Findings from our lab showed that fructose consumption increased excitatory tone onto orexigenic neuropeptide Y (NPY)/agouti-related peptide (AgRP) neurons of the arcuate nucleus (ARC). This tone is reversible with cessation after one week of fructose consumption, but it is not known if the increased excitatory tone is reversible with cessation from chronic fructose consumption. We used whole-cell patch-clamp recordings and a fructose choice test to assess if fructose cessation could revert excitatory tone at NPY/AgRP neurons or enhance fructose preference upon re-exposure. We have found that fructose abstinence reverted increased excitatory tone at NPY/AgRP neurons in males. Continuous fructose consumption reduced preference for fructose, but fructose cessation enhanced it. These findings suggest that fructose cessation reverts increased excitatory tone but can also increase future fructose intake.
- Thesis Degree:
- Master of Science (M.Sc.)
- Thesis Degree Discipline:
- Neuroscience
- Date Created:
- 2022