3-Dimensional Construction Printing: Materials and Robotics

This project is intended to development the technologies needed for three-dimensional (3D) printing of concrete constructions. This highly interdisciplinary research endeavor will draw on expertise in additive manufacturing, construction, materials science, and robotics to develop the key elements of 3D construction printing.

Non-destructive Testing of Backfill Strength in Support of Continuous Mining

Underground mines generate significant volumes of crushed waste rock, called tailings, but almost half of these can be returned underground and used as value-added backfill. This research uses non-destructive sensors that monitor the backfill’s strength in real time and provides operators with information needed to safely place backfill as quickly as possible. The sensors will be developed and deployed at operating mines so that they are validated under real-world operating conditions.

Synthesizing the State of Practice of On-Demand Transit in Canada

This project proposes a survey directed at transit agencies in Canada that have operated, operating, or planning to operate flexible transit, with special emphasis placed on app-based on-demand transit services. Personal interviews will be conducted with key personnel at the transit agencies, likely using phone communication. The results of the survey along with a more comprehensive review of industry reports will be summarized to highlight the key practices of flexible transit in Canada.

Assessment of indoor environmental quality in the school building

Indoor environmental quality in schools is one of the major issues that should be considered. Indoor air quality (freshness and cleanness of air inside the building) and thermal comfort (the comfortable condition when no one is feeling either too hot or too cold) in schools can have significant impact on children’s health, learning and productivity. The purpose of this research is to evaluate indoor environmental quality (indoor air quality, thermal comfort, lighting, and acoustics) in First Nation School.

Application of Data Analytics Approaches for Solvent-Assisted Bitumen Recovery Pilot Analysis

This project will develop data-driven models for production performance analysis and optimization for solvent-assisted bitumen recovery operations and related processes. Effective operations of solvent processes are crucial for improving oil production and maintaining a low solvent-to-oil ratio (SOR).

Simeio: Anomaly Detection for Building Automation System

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis.

Smart Work Zone Management

Construction zones are one of the leading contributors to Toronto’s ever-growing congestion. The aim of this study is to develop an integrated construction zone traffic management framework to minimize disruption of the traffic and reduce the effect in terms of congestion. This study leverages historical and real data collected from on-board construction trucks provided by the partner organization to find an insight as to how far upstream and downstream of the work zone congestion propagates.

A Framework to Assess the Seismic Resilience of Hospital Infrastructure in Metro Vancouver

Healthcare infrastructure plays a key role in the recovery of communities in a post-disaster scenario. In seismically active regions, such as western Canada, an understanding of the seismic performance of hospitals is essential to inform emergency management and effectively mitigate earthquake risk. This research project aims to develop new methodological approaches to integrate seismic risk assessments into the decision-making process of healthcare facilities management.

Biogeocemenation of a Coal Mine Tailings Pond

A decommissioned mine facility in Canada is looking for a new and innovative way to handle mine waste and reclaim the mine site. The potential solution to this problem is the use of microorganisms which are capable of producing calcite, or cement, as part of their natural biological process. These microorganisms will be combined with the mine tailings in test cells in the lab to produce a cement, which will then be tested for milestones like strength and moisture content. BGC Engineering Inc.

XFEM-based fatigue crack growth simulation and surrogate model development for probabilistic remaining fatigue life prediction of pipelines

Pipelines have significantly contributed to the Canadian energy industry and overall economy. Specifically, nearly 60% of energy consumed in Canada comprises of oil and gas delivered through pipelines. However, in pipeline steel, many failures were caused by cracks during pipeline operation. The proposed research project aims at developing a reliable and effective tool to predict fatigue crack growth under cyclic fatigue loading.