The objective of the proposed project is to develop a mathematical model to compute the wave diffraction force on a floating structure partially frozen or surrounded by an ice sheet. The horizontal and vertical forces on the cylinder and bending stress in the ice plate will be computed. The results will be compared with those by decoupled solutions. The research results will improve the understanding of the coupled wave-ice-structure interaction and will lay a foundation for the development of a comprehensive simulator to simulate floating structures in harsh environments.
Simulation training is widely used in the aircraft industry to train pilots to operate aircraft. Likewise, ship bridge simulators are used to train the crews of large vessels. The efficacy of this type of training is recognized by international standards and is often required by regulations. A new application of simulation training technology is being developed by Virtual Marine Technology in co-operation with researchers at Memorial University. Specifically, they have developed immersive training simulators for small vessels such as lifeboats and fast rescue craft.
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.
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.
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.
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.