The current project is designed to assess the level of damage that a realistic irregular bridge will undergo after the occurrence of an earthquake. This study encourages an improved understanding of post-seismic return to service and repair of an irregular bridge. A more sophisticated approach will be used to analyze the complex vibrations of the bridge in response to a seismic excitation and to simulate the progressive collapse of the bridge during an earthquake.

Recreational vehicles operating off the grid rely on battery power to maintain climate control and, by doing so, the occupants’ comfort. Extended battery usage in these vehicle can be achieved by optimizing the thermal-fluid design of the interior space through the judicious selection of insulation material, properly sized HVAC systems, window glazing, and even external paint selection. The vehicle interior represents a highly-complex thermo-fluid system in which each component affects the other.

The partner uses a simple formula to estimate the percent of deck space committed on upcoming sailings. The goal of this project is to determine whether the accuracy of this calculation can be improved. The objectives of this project include understanding the data used in the “% full” calculation, conducting a literature review to determine how other ferry operators perform similar calculations, and performing a root cause analysis to understand cancellation behavior. Through this project, the partner organization expects to gain insights into how vessel deck space is utilized.

With the trend of increasing technological complexity, software content and mechatronic implementation, there are increasing risks from systematic failures and random hardware failures. ISO 26262 („ Road vehicles – Functional safety “) is the most important standard concerning functional safety in the automotive industry. The standard was published at the end of 2011. Even small modifications of a system after it has been certified necessitate a re-certification.

Public bikeshares intend to provide an active, accessible, environmentally friendly and compact transportation alternative—particularly useful for travelling short distances and the “last mile” of a trips to and within a busy, dense urban core. In 2016 Vancouver launched a public bikeshare. Vancouver’s climate, culture, and bike route system provides a strong foundation for success, but there are concerns given the all-ages helmet legislation, long debated as a barrier to uptake of cycling and a threat to public bike share success worldwide.

Proactive road safety analysis allows for the pre-emptive diagnosis of road safety issues without direct observation of traffic accidents by observing accident precursor events instead (i.e. "traffic conflicts"). This approach to road safety diagnosis is made possible with the collection and analysis of large quantities of high-resolution road user trajectory data acquired from video data automatically.

The shipping container is one of the most important assets of international shipping and global trade. Built to withstand extreme conditions, the quality of these large metallic boxes is often overestimated resulting in the international container fleet being perpetually undermaintained. As trade volumes increase terminal inspectors lave less time to conduct container quality inspections. This project aims to create an automated shipping container inspection system using high definition cameras and machine learning software.

The proposed project aims to develop numerical models using computational fluid dynamics (CFD) to understand and predict the performance of heat pipes in the context of cooling applications. Heat pipes are a type of enhanced heat transfer device that uses a continuous cycle of boiling and condensing a fluid to transfer heat at a very high rate. The industry partner designs and manufactures heat pipes that are used extensively in the cooling of molds for making automotive parts.

The goal of this project is to design computationally-efficient solvers that can be used for autonomous vehicle control developments. Because autonomous cars have complex mathematical models, it is usually hard to perform their necessary control computations on-line and when the vehicle is running. Therefore, it is required to come up with much faster solvers for their controllers. At the end of this project, the developed control methods will be tested on an accurate simulation platform to evaluate their performance and robustness in realistic scenarios.

In this project, charging and driving data of 1000 electric vehicles (EVs) across Canada will be monitored and analyzed to figure out the impact of EVs on the electrical power grid, and their potential capability to reduce CO2 emissions. For this purpose, the degree to which a particular electricity grid profile, the vehicle type and driving style, and charging patterns impact CO2 emissions will be studied.