ADVanced EvolutioN Team


Home | Research | MDO | Links |  News | 



Multidisciplinary Design Optimisation (MDO)


Multidisciplinary Design 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 Manufacture.

  • Computational Aerodynamics.

  • Evolutionary Algorithms.

  • Computational Fluid Dynamics

Over the past two years undergraduate and graduate students have been involved in research projects related.

Areas of Research:

  • Aerospace Vehicle MDO.

  • Micro and UAV MDO.

  • Race car MDO.

  • Evolutionary Algorithms for Aircraft MDO.

  • Underwater vehicle MDO.

Graduate Students:
Mr Luis Felipe Gonzalez -- Aircraft Multidisciplinary Design Optimisation using Evolutionary Algorithms

Current Undergraduate Students:
Some projects related to MDO at the school include:

Multi-Modular Multi-Configurational (3M-C) Unmanned Aerial Vehicle (UAV) System
Aircraft Multidisciplinary Design Optimisation using Evolutionary Algorithms.