Surrogate Models for Stress-Strain Mapping of Microscale Physics

Author(s) Information

Samuel RoachFollow
Dr. Eric Ocegueda, California Polytechnic State University, San Luis ObispoFollow

College - Author 1

College of Engineering

Department - Author 1

Mechanical Engineering Department

College - Author 2

College of Engineering

Department - Author 2

Mechanical Engineering Department

Advisor

Dr. Eric Ocegueda, College of Engineering, Mechanical Engineering Department

Funding Source

Paul & Sandi Bonderson

Acknowledgements

Sean Oxenhorn

Date

10-2024

Abstract/Summary

•Learn the difference between different neural networks within machine learning (ML) •Develop a working understanding of the ML tool Pytorch and machine learning operator: Recurrent Neural Operator •Use MATLAB to create and process time dependent stress/strain matrices to display the hyper-parameters for different RNOs •Apply RNO to train the strain-stress mapping of tri-laminate and granular cases

October 1, 2024.