We're a team of interdisciplinary scientists and engineers with enthusiasm for computational modelling and optimization of engineering designs. Modern structures are designed with multiple functionalities in mind; accordingly, design tools capable of multiscale and multiphysics considerations are needed. Our team develops and applies state-of-the-art optimization methods for such a purpose, specifically targeting issues such as large-scale design variables, global optimization, nonlinearity, complex coupling of physics and high computational cost. The team works closely with multidisciplinary researchers at the interface of engineering, computer science and applied mathematics and strives to find simple and powerful engineering solutions.
The Center for Extreme Events Research (CEER) at UCSD will offer Interdisciplinary Training and Networking in Engineering and Next Generation in Simulation and Experimentation (INTENSE) short course on "Topology optimization for additive manufacturing" on May 15-17, 2019 by Prof. Alicia Kim. This course will provide a practical understanding of topology optimization as well as the fundamental background. It will uncover the numerical machineries of a range of topology optimization methods and reveal how to formulate design problems and select numerical parameters to yield successful designs. It will also discuss the state of the art topology optimization capabilities. The course will include a practical hands-on element using an open source topology optimization code developed at UC San Diego.
The short course is designed for engineers and scientists from industry, government, and academia who have no prior experience with topology optimization. Those who already have experience with topology optimization and wish to learn more advanced topics will also find this course useful. An understanding of the basic Finite Element Method is requisite.
More course info: http://ceer.ucsd.edu/events/2019/short-course/program
Link for registration: http://ceer.ucsd.edu/events/2019/short-course/register