Nonlinear Dynamic Analysis of Mooring Lines in Deep and Shallow Water

The objective of this research project is to develop a computer program to predict the responses of mooring lines in waves and current. The nonlinear line tensions and anchor loads will be computed. By integrating the computer program into a vessel motion analysis tool, the development allows for the coupled mooring line and vessel dynamics computation. Validation studies will be carried out for mooring lines in deep water and in shallow water.

Physical Properties and Geophysical Correlations of the Lac de Gras Kimberlites and Host Rocks at Diavik Diamond Mines

The Diavik Diamond Mine is located in Canada's remote North, 300 kilometres northeast of Yellowknife, NWT. In this project, the intern will collect and analyze samples of Kimberlite from the Diavik property to determine their physical properties. The data will then be carefully analyzed to look for trends regarding new information that could lead to a new Kimberlite discovery.

Trends in Redfish Sebastes spp. Abundance in the Northwest Atlantic and the Relative Importance of Fisheries and Environmental Variables

While the collapse of Atlantic cod is the most well-known and studied, other less studied species, such as redfish Sebastes spp., have experienced comparable declines. These declines have resulted in the closure of the Gulf of St. Lawrence, northern and eastern Grand Bank and Labrador Shelf redfish fisheries since the mid-1990s, while reduced quotas are in place for the Laurentian Channel. While some redfish stocks declined, other stocks with more southern ranges remained stable or showed increased biomass. These dynamics and their potential causes have not been rigorously investigated.

Simultaneous Localization and Mapping (SLAM) Technique for Autonomous Operation of Mining Robots

This project proposes an application of Fuzzy-Evolutionary Simultaneous Localization and Mapping (SLAM) algorithm for autonomous navigation of mining robots in underground mines. This project aims to develop techniques that are useful for mining automation activities, particularly for infrastructureless navigation of load-haul-dump vehicles and drilling equipment. The intern will use current equipment facilities available with the intelligent systems group at C-CORE to collect data and to validate the proposed SLAM algorithm.