Optimisation (MDO) can be defined as "A formal methodology for the design
of complex coupled systems in which the synergistic effects of coupling between
various interacting disciplines/phenomena are explored and exploited at every
stage of the design process".
ADVENT is constantly developing
numerical tools and applications of numerical techniques for MDO problems and
works closely with different research groups at the department.
Aerospace Vehicle Design and
Computational Fluid Dynamics
Over the past two years undergraduate and
graduate students have been involved in research projects related.
Areas of Research:
Mr Luis Felipe Gonzalez -- Aircraft
Multidisciplinary Design Optimisation using Evolutionary Algorithms
Current Undergraduate Students:
Some projects related to MDO at the school include:
Multi-Configurational (3M-C) Unmanned Aerial Vehicle (UAV) System
Aircraft Multidisciplinary Design Optimisation using Evolutionary Algorithms.