Back-to-Back Lectures, 50 minutes with 10 minutes for Q&A each
- Lecture 1: Euler-Bernoulli Beam Theory for 2nd-year undergraduate students
- Lecture 2: Fatigue and Fracture of Structural Materials (Advanced Design Topic for 4th-year undergraduate or 1st-year graduate students)
This is an introductory lecture covering broadly the field of fatigue and fracture of engineering structural materials from a design and analysis perspective. Overview of fatigue analysis approaches (S-N, ε-N, and da/dN – ΔK), and how they relate to the various types of cyclic loading histories. A link to the general material behavior types and fatigue characterization will be illustrated. A conclusion with a live example will follow to reinforce the concepts using Finite Element Analysis (FEA). A link to a real life case study example will be developed.
Bio
Andrew Gryguć is an Assistant Professor – Teaching Stream in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He has over a decade of experience in the field of solid mechanics, structural analysis and finite element modelling. His research interests include, fatigue and fracture, cyclic plasticity modelling, and energy based damage models for a variety of different materials. Furthermore, he has pioneered the understanding of the process-structure- property-performance relationship for forging of HCP materials, in particular, Mg alloys. Andrew has also spent almost a decade in the automotive industry as a structural analyst focusing on non-linear FE modelling, for structural, NVH, crash and durability objectives. Furthermore, he leverages his industrial experience to enhance his research program and teaching curriculum at both an undergrad and graduate level. In 2018 Andrew was the recipient of the Toyota Automotive Safety Award.
For the past several years, Andrew has worked with the Pearl Sullivan Immersive Design Engineering Activities (IDEAS) Clinic to develop a range of programming with topics ranging from digital twins, numerical simulation, computer vision, neural networks, machine learning etc. with a special focus on multi-disciplinary design theory and practice with a strong focus on experiential learning. He along with the IDEAS clinic have been successful in enabling students to have the opportunity to have practical hands-on experience that will enhance their ability to be innovators in industry and leaders in experimental research.