Skip to Content

Search: {{$root.lsaSearchQuery.q}}, Page {{$root.page}}

Applied Interdisciplinary Mathematics (AIM) Seminar

Engineering Design Optimization:

An Introduction for Mathematicians
Friday, September 30, 2022
3:00-4:00 PM
1084 East Hall Map
Optimization is a human instinct. People constantly seek to improve their lives and the systems that surround them. Engineers seek to minimize the energy consumption and cost of vehicles. Although some optimization problems can be solved analytically, most practical problems of interest must be solved numerically. Despite the progress in high-fidelity numerical simulations enabled by high-performance computing, challenges have remained in using these simulations for design optimization. This talk focuses on the developments that enabled high-fidelity design optimization of aircraft and other engineering systems. The challenges addressed include handling a large number of design variables, robust and efficient large-scale simulations, effective geometry and mesh handling, and efficient discipline coupling. To tackle these issues, we combine gradient-based optimization algorithms with adjoint gradient computation and develop an adaptive coupled Newton-Krylov approach to solve the coupled numerical simulations efficiently and robustly. The methods we developed to tackle this problem are generalized in an open-source framework for multidisciplinary analysis and optimization. This and other open-source tools developed in this work open the door to further advances in algorithms and their application to aircraft design and beyond. Speaker(s): Joaquim Martins (University of Michigan (Aerospace))
Building: East Hall
Event Type: Workshop / Seminar
Tags: Mathematics
Source: Happening @ Michigan from Department of Mathematics, Applied Interdisciplinary Mathematics (AIM) Seminar - Department of Mathematics