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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

    Dec 05, 2022  
2021-2022 Graduate Academic Calendar 
2021-2022 Graduate Academic Calendar [ARCHIVED CALENDAR]

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ENGR 5016G - Advanced Topology Optimization

This course covers the theoretical and technological aspects of Topology Optimization (TO) in the advanced engineering design process, with a focus on the details of the Evolutionary Topology Optimization techniques for continuum structures with applications in design of mechanical parts and components. The goal of TO is to achieve the best performance for the product while satisfying various constraints such as the given amount of material, weight, manufacturing requirement, cost, etc. The evolutionary TO techniques covered in the course are based on Finite Element Analysis where the design domain is discretized into a fine mesh of elements. The course is designed to allow the students to comprehend the latest technical literature in the area of topology optimization and develop systems and algorithms for practical applications. It is aimed to provide the students with advanced design, analysis, implementation methods, and concepts to develop, study, and performance improvement of the topology optimization methodologies and applications.
Credit hours: 3
Experiential learning Yes

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