Optimal Design in Multidisciplinary Systems
20–21 June 2015
When you are designing or evaluating a complicated engineering system such as an aircraft or a launch vehicle, can you effectively reconcile the multitude of conflicting requirements, interactions, and objectives? This course introduces you to methods and tools that have been developed over the years for the design optimization of engineering systems.
You will be presented with a review of the state-of-the-art methods for design optimization that exploit the modern computer technology for applications with large numbers of variables, and design constraints. You will learn how to evaluate sensitivity of the design to variables, initial requirements, and constraints, and how to select the best approach among the many that are currently available.
The last part of the course will take you to system level applications where the primary problem is in harmonizing the local disciplinary requirements and design goals to attain the objectives required of the entire system, and where performance depends on the interactions and synergy of all its parts. In addition to imparting skills immediately applicable, the course will give you a perspective on emerging methods and development trends.
- Multidisciplinary design-components, challenges, and opportunities
- Optimization methods
- Sensitivity analysis
- Decomposition architectures in multidisciplinary design
- Surrogate modeling in design
- Soft computing methods in optimal design
Who Should Attend
Design engineers and technical managers involved with preliminary or detailed design of aerospace, mechanical, and other multidisciplinary engineering systems will find this material applicable in their work environment. Advanced research students and research scholars in academia and in research laboratories will also benefit from the topics covered in this course. They would use this material as an entry point into possible areas of further research.
Joaquim R. R. A. Martins is an Associate Professor at the University of Michigan. Before joining the University of Michigan, he was an Associate Professor at the University of Toronto, where he held the Canada Research Chair in Multidisciplinary Optimization. He received his undergraduate degree in Aeronautical Engineering from Imperial College, London. He obtained both 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 received the Best Paper Award in the AIAA Multidisciplinary Analysis and Optimization Conference twice (2002 and 2006).
Jaroslaw Sobieski, Ph.D., holds three degrees: a B.S., M.S., and Ph.D. in Aeronautical Engineering from the Technical University of Warsaw (TUW). He taught at TUW, St. Louis University, and George Washington University. Associated with the NASA Langley Research Center since 1970, Dr. Sobieski has held several research and management positions there and is currently a Distinguished Research Associate. His was awarded NASA Medals for: Exceptional Engineering Achievement in 1988; and for Exceptional Service in 2004; and a SAE Wright Brothers Medal in 2000. He initiated the AIAA Technical Committee for Multidisciplinary Design Optimization in 1989, received the AIAA MDO Award in 1996. Dr. Sobieski is an AIAA Fellow and has published extensively and lectured on MDO worldwide.
Course notes will be made available about one week prior to the course event. You will receive an email with detailed instructions on how to access your course notes. Since these notes will not be distributed on site, AIAA and your course instructor highly recommend that you bring your computer with the course notes already downloaded.
Course Registration includes full conference participation.