Information for University of British Columbia students
The Queen Elizabeth II Diamond Jubilee scholarship program was established to support students across Canada and the Commonwealth, with the aim of developing global leadership through cross-cultural exchange, international education and knowledge transfer. This scholarship was created to celebrate the 60th anniversary of Her Majesty Queen Elizabeth II's ascent to the throne, under the leadership of Governor General of Canada, David Johnston and former Prime Minister Jean Chretien. It is funded through the generous contributions of the Government of Canada, provincial governments, the private sector and individuals. The program is a collaborative effort by the Rideau Hall Foundation, Community Foundations of Canada and the Association of Universities and Colleges of Canada. Under this program, students who are Canadian citizens or permanent residents will have the opportunity to in internships and academic study programs at both undergraduate and graduate levels.
Available project topics:
Influence of Traffic Loading on Life Cycle Cost of Highway Bridges
Contact person: Dr Colin Caprani
Maintenance and rehabilitation operations constitute a large proportion of the cost of bridge infrastructure. In the past, most focus was on minimal construction cost, but nowadays it is realised that a minimal overall life cycle cost is preferable. In making decisions around maintenance, the safety of bridges is paramount, and a reliability approach can inform decision-making about the optimum maintenance schedule, and thus the overall life cycle cost. However, the most variable parameter in this problem is the traffic load to which the bridge is subject, and this is often overlooked or simplistic assumptions made. This project will investigate the influence traffic loading has on a reliability-informed optimised life cycle cost. It will include the cost-benefit analysis of collecting site-specific traffic data and determine if it helps lower overall life cycle cost.
Numerical slope analysis including the assessment of consolidation, swelling and saturation behaviour and performance of a rehabilitated coal mine
Contact person: Associate Professor Bre-Anne Sainsbury (Bre-Anne has worked as a consultant and operations engineer in Australia and the USA and developed a broad skills base in all aspects of the mining cycle. Bre-Anne is considered to be an expert in the fields of numerical modelling, subsidence and jointed rock masses.)
Numerical analysis provides a cost effective way to test the robustness of a proposed design in a timely and risk-free manner. It also provides a way to validate material responses that can be used for slope design and predictive analyses. Applied to the rehabilitation of slopes at the Loy Yang Coal Mine, three-dimensional numerical analyses are proposed that will:
- Validate the response of material properties though the back-analysis of performance of existing slopes and trials performed over the lift of the project.
- Understand the result of monitoring data collected at each of the existing and trial sites to analyse the impact of natural phenomena (eg. ground water inflow, evaporation/drying).
- Conduct design optimisation (associated with both cost and performance) for in-situ rehabilitation trials.
These objectives will be achieved through the specific assessment/validation of:
- Material property inputs for both the in-situ coal, overburden and fill/capping material. This includes both an assessment of the large-scale response of the rockmass material through assessment of discrete fracture network performance and strength-scale effects and time-dependant coupled fluid-flow analyses to estimate the impact of groundwater, creep, consolidation, swelling etc on the slope stability.
- Slope stability assessment including bench, inter-ramp and overall stability and an assessment of the interaction between the benches and capping material.
The third industrial revolution: Selective Laser Melting
Contact person: Professor Chris Davies
Selective laser melting is a manufacturing process which delivers near net shape parts of incredible complexity with little or no scrap material in a much reduced time from design to end product. Monash University through its Centre for Additive Manufacturing is able to produce such parts. In SLM a laser rasters across the surface of a powder bed, melting successive thin layers of powder in order to build parts layer by layer. Success or failure of the build depends on multiple factors including the laser speed, power and scan profile as well as the design of the part and its support structures.
The project(s) will examine investigate the factors that contribute to the significant variability of part properties from one side of the powder bed to the other. The project(s) will be a combination of experiment and modelling. Students must have excellent Matlab programming skills. Finite Element skills would be an advantage.
Process simulation of Additive Manufacturing
Contact person: Associate Professor Wenyi Yan
Additive Manufacturing (AM), also known as "3D-printing", builds components from metal alloy powders or wires by selective laser or electron beam melting. It produces near-final-shape components directly from computer design files without the need for tooling, leading to material savings of up to 90%, production cost savings of up to 50% and reductions in leadtime from design to final component of up to 90%. During an additive manufacturing process for metallic materials, such as selective laser melting, the most popular 3D-printing technique for metallic materials, complicated physical phenomena, including powder melting, liquid solidification, solid remelting and solid to solid transformations, occur. Such a manufacturing process will lead to residual stresses in the as-produced components. To successfully predict the residual stresses will enhance the application of AMed components in load-bearing structures, especially in aerospace engineering.
This final year project will use an open source software to simulate an additive manufacturing process to predict the residual stress field in an AMed component. This software was developed by Los Alamos National Laboratory, USA:
As the supervisor has never used this software before, the students working on the project must have the initiative in carrying out the research. In addition, the students should have a good knowledge of thermodynamics and be interested in computational simulations and programming.