Artificial Intelligence for Condition Assessment of Critical Infrastructure

Unexpected deterioration and failure of concrete infrastructure causes major disruptions and in the most severe cases, results in lives lost. According to the 2019 Canadian Infrastructure Report Card, Canadian public infrastructure is at risk therefore, detecting and addressing deterioration in such structures is crucial. The Damage Rating Index (DRI), a reliable novel quantitative microscopic procedure, […]

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Investigating practical treatment processes to reuse wastewater effluent for irrigation and chemical treatment purposes at the Town of Altona, Manitoba

The Town of Altona is interested in reusing the wastewater effluent discharged from its aerated lagoons for irrigation or chemical treatment. The current wastewater effluent will be tested and its characteristics determined. Advanced wastewater treatment processes will be investigated to treat the aerated lagoon effluent, and the suitable process able to meet the federal and […]

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Nuclear Decommissioning Management using Building Information Modeling and Augmented Reality

Integrating augmented reality (AR) technology with decommissioning workflows will open new avenues to remotely visualize and interact with Building Information Models (BIMs), enabling safe and cost-effective decommissioning processes of nuclear power plant (NPP) structures. Research is proposed here to advance new NPP decommissioning workflows through novel sensing, computing, and artificial intelligence (AI) methods within the […]

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Understanding the high-temperature behavior of alloys designed for additive manufacturing

The proposed project aims to determine the mechanical behavior of new commercial iron-based alloys, M789 and Corrax stainless steels, designed for additive manufacturing. The additively manufactured steel samples, known to possess an excellent combination of tensile strength and corrosion resistance, will be supplied by voestalpine Additive Manufacturing Center. After extensive high-temperature experiments (using Gleeble and […]

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Machine Learning Based Classification of Atomization from a Rotating Bell Nozzle

Spray painting in the automotive manufacturing industry is a tough technical challenge. Due to a poor paint job, approximately 25% of cars coming off the assembly line must be reworked or scrapped. Previous research has shown that the droplet size distribution of the paint applied to the vehicle is important for the final coating finish […]

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Methane Assisted Catalytic Upgrading of Extra Heavy Crudes under Moderate Conditions

Vacuum residue (VR) is the heaviest part of crude oil accounting for a large proportion in modern refineries, while its utilization routes are generally of low efficiency and high energy intensity, and thus economically and environmentally unfavorable. Similarly, bitumen recovered from Steam-assisted gravity drainage (SAGD) process experiences high viscosity and density as well as high […]

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A Data-Driven Modeling Approach for Estimating Methane Emission Sources from Satellite, Environmental, and Oil/Gas Well Data

There has been an increased commitment to capping GHG emissions from oil/gas (O/G) operations. However, reliable monitoring and quantification of methane emissions from particular sources are difficult for several reasons: (1) high-resolution sampling data over an extensive geographical area is rare; (2) identifying emission sources from large-scale monitoring satellite data is extremely challenging, often yielding […]

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Outils numériques pour l’étude des avions à propulsion hybride-électrique

La propulsion hybride-électrique a le potentiel de réduire la consommation en carburant des aéronefs et constitue une alternative plus réaliste par rapport à l’option tout électrique. Avec l’utilisation de sources d’énergies différentes, le processus de dimensionnement est complexifié et couplé à l’opération de l’aéronef. Cela nécessite alors une approche d’exploration par analyse de mission et […]

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Influence of slag characteristics on dephosphorization and refractory wear in steel electric arc furnace

The Canadian steel industry experiences fierce global competition. It is also under an increasing pressure to decrease its environmental foot-print. Continuous process optimization is, therefore, necessary for a sustainable operation. To produce high quality steel and concurrently reduce costs, trial and error cannot be effective. This proposal aims to advance the knowledge of electric arc […]

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