Multidisciplinary Design Optimization
Course objective
Since the legacy sequential design methodologies are incapable of simultaneously considering the interaction between disciplines such as aerodynamics, aeroacoustics and structural dynamics, the optimal design results are rarely obtained in such complicated systems as aircraft. To cope with this inefficiency both in accuracy and computational resources, MDO has been suggested to concurrently taking the multidisciplinary interaction and the exchange of information, resulting in the enhanced efficiency and synergism. The present lecture offers the fundamental concepts and methodologies of MDO and explains how to implement them in the actual engineering problems by showing specific examples.
Texts and References
1. “Numerical Optimization Techniques for Engineering Design:with Applications”, Garret Vanderplaats, McGraw-Hill, 1984
2. “Evaluation of Methods for Multidisciplinary Design Optimization(MDO)”, S. Kodiyalam, 1998
Course outline
Part 1.
Introduction to Optimum Design (design process, problem formulation)
Numerical Methods for Unconstrained Optimization
Numerical Methods for Constrained Optimization
MDO – Design Structure Matrices (DSM)
MDO – Single level
MDO – Multi-level
<Introduction to term project, Q&A>
Part 2.
Design of Experiment (DOE)
Metamodeling – Response Surface Methodology
Metamodeling - Kriging
Multi-objective Optimization
Design under uncertainty (Robustness, Reliability)
Design Space Exploration, Data-mining