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Center for Nonlinear Studies |
Computational simulations have advanced dramatically, but engineering design demands more than analysis alone. Multidisciplinary design optimization provides a framework to systematically enhance designs by connecting high-fidelity simulations with practical engineering solutions. This talk explores cutting-edge computational methods for optimizing multiphysics systems where aerodynamics, structures, and propulsion interact in tightly coupled frameworks. We will examine the mathematical foundations and numerical methods enabling large-scale optimization with thousands of variables and constraints, emphasizing the adjoint method for efficient gradient computation. We will present the application of these methods to the design of aircraft, gas turbines, wind turbines, and hydrofoils. We will cover the development of robust PDE solvers, mesh deformation algorithms, and geometry parametrization techniques. We will showcase our open-source software ecosystem, including the aerostructural optimization framework MACH, the general-purpose framework OpenMDAO, and the high-fidelity framework MPhys. We will address the software development practices and modular architectures critical for successful research implementation. Finally, we will discuss emerging research in physics-constrained machine learning emulators, multifidelity model orchestration, and AI-enhanced shape parametrization and mesh generation techniques that promise to accelerate the optimization of complex engineering systems.
Bio: Joaquim R. R. A. Martins is the Pauline M. Sherman Collegiate Professor of Aerospace Engineering at the University of Michigan, where he heads the Multidisciplinary Design Optimization Laboratory. His research group develops MDO methods and applies them to the design of air and marine vehicles, as well as other engineering systems. He is a co-author of “Engineering Design Optimization”, a textbook published by Cambridge University Press. Prof. Martins is a Fellow of the American Institute of Aeronautics and Astronautics and a Fellow of the Royal Aeronautical Society. Before joining the University of Michigan faculty in 2009, he was an Associate Professor at the University of Toronto Institute for Aerospace Studies. From 2002, he held a Tier II Canada Research Chair in Multidisciplinary Optimization. He received his undergraduate degree in Aeronautical Engineering from Imperial College, London, with a British Aerospace Award. He obtained his M.Sc. and Ph.D. degrees from Stanford University, where he was awarded the Ballhaus prize for best thesis in the Department of Aeronautics and Astronautics. He has received the Best Paper Award at AIAA Conferences six times. He has served as Associate Editor for the AIAA Journal, Optimization and Engineering, and Structural and Multidisciplinary Optimization. He is currently an Associate Editor for the Journal of Aircraft.
Teams: Join the meeting now
Meeting ID: 255 222 643 146
Passcode: NR7Y7fm7
Host: Kyle Hickmann (XCP-8)