Challenges of applying topology optimization to multiscale problems by Caglar Tamur, Oct. 22, 2024

Challenges of applying topology optimization to multiscale problems

Caglar Tamur

University of California San Diego

October 22, 2024

Abstract:

Topology optimization in engineering design has demonstrated its capability to provide creative and unintuitive designs, previously not thought of. For a component designed for one functionality under one physics, an optimized design is often intuitive and apparent to an experienced engineer thus, given the potential challenges associated with manufacturing and scaling of production, topology optimization often does not offer significant benefits over the traditional engineering approaches. However, when considering complex multiscale conditions, the nonlinear coupling effects are not obvious nor intuitive to an engineer and the optimized designs are likely to be beyond human intuition. The benefits of topology optimization thus, can be substantial in complex structures. However topology optimization faces some fundamental challenges in some classes of design problems. We will review some of the recent research efforts to address complex design problems via topology optimization, and discuss the challenges and opportunities.

Biography:

Caglar Tamur is a Postdoctoral Researcher in Multiscale, Multiphysics Design Optimization (M2DO) Lab at UC San Diego, which is led by Prof. H. Alicia Kim. He received his PhD from UC Berkeley in 2024, where his researched focused on computational solid mechanics with an emphasis on multiscale modeling of polymers and peridynamics models for fracture mechanics. His current research at UCSD involves topology optimization for metamaterial systems for nonlinear dynamics and shock manipulation. He is the recipient of a Fulbright Scholarship

Video Presentation

Video release has been delayed by request of the presenter.