Computational Solid Mechanics Lab

• Assisted professor and postdoctoral research associate with the development of a neural network to optimize run-time for non-linear computational mechanics.
• Created stiffness optimization program using Python and ANSYS interface for complex FEA models.
• Designed ANSYS static structural models to analyse load path across honeycomb structure at different orientations.
• Presented findings using MS PowerPoint to the head professor and team weekly.

Head Professor's Recommendation Letter

Sample Tasks:

Investigation on Differences Between Tensorflow and Pytorch Neural Networks

Summary of Python + Ansys Stiffness Optimization Program

Initial Honeycomb Load Distribution Analysis