Sergey Kuznetsov, Massachusetts Institute of Technology
Stephan Rudykh, University of Wisconsin-Madison
Materials and structures with coupled physics are characterized by complex interactions between mechanical, electromagnetic and other fields. Their non-linear dynamics is typically accompanied by the transition of energy from one form to another. Design of systems with coupled physics typically requires placing current-carrying elements, active materials, structural materials and thermo-conducting materials, and cooling channels in a way providing generation of required electromagnetic fields, mechanical deformations or motion and predictive, safe, and reliable operation of the system, at the same time requiring the minimal cost of materials and energy supply.
This mini-symposium will focus on efficient and reliable computational methods for the design and optimization of systems with coupled physics, including, but not limited to
- topology and shape optimization for coupled electro- and magneto-mechanical problems
- optimal placement of current-carrying elements, electro-magneto-active elements subject to mechanical, and thermal manufacturing constraints
- simultaneous optimization of materials and structures at different scales
- level set and phase field methods in the design of systems with coupled physics
- optimization of design for multiple objectives and required dynamics
- materials identification and inverse problems
- machine learning for design and fabrication of magneto- and electro- mechanical materials and structures
