Elasticity and Data-driven Mechanics

Catalog description

This course consists of two parts. The first half of the course will cover the theory of elasticity and the fundamentals of the mechanics of continuous media, while the second half will focus on data-driven methods and machine learning techniques that can be utilized to discover the constitutive relations. Topics that will be covered include tensor calculus, stresses, balance principles, kinematics, constitutive laws, neural networks, constrained optimization, geometric learning, and symbolic regression. Prereq: ECIV 310 or Requisites Not Met permission.