Monday, May 20
10:00 AM-12:00 PM
Salon C

MS1
Multidisciplinary Design Optimization: Methods and Applications

Multidisciplinary Design Optimization (MDO) is a methodology for the design of complex, coupled engineering systems, such as aircraft, the behavior of which is governed by interacting physical phenomena. MDO's aim is to improve and speed up the design process, and to lower the cost of complex systems. MDO is recent to applied mathematics, but has been in the development stage for a number of years in engineering. Due to the complexity and size of the problems, MDO is only now beginning to show its potential and it would benefit from closer interaction among the practitioners of engineering and applied mathematics. The aim of the minisymposium is to bring these two groups together and share recent advances.

Organizer: Natalia M. Alexandrov
NASA Langley Research Center

On Numerical Issues in Optimal Design
John A. Burns, Virginia Polytechnic Institute and State University
Design of Automotive Valve Trains with Implicit Filtering
Carl T. Kelley, North Carolina State University
Aeroservoelastic Shape Optimization: Approximation Concepts and Analysis Tools for MDO
Eli Livne, University of Washington
Bayesian--Validated Computer--Simulation Surrogates for Optimization and Control
Anthony T. Patera, Massachusetts Institute of Technology

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MEM, 3/11/96