B5.1 - ADEMAO: Aircraft Design Engine based on Multidisciplinary Analysis and Optimization

General Objective of the Research Project

The research project B5.1 deals with the aircraft design development of advanced multi-fidelity aircraft design tools. In the scope of SE2A, the goal of the group is to develop an Aircraft Design Engine based on Multi-Disciplinary Analysis and Optimization (ADEMO) that uses a multi-fidelity approach in aircraft design and capable to work with unconventional aircraft configurations and advanced airframe and engine technologies. In addition, the Multi-Disciplinary Optimization (MDO) framework will be integrated to perform MDO studies of aircraft configurations.

ADEMO will be used to design a family of transport aircraft that cover the majority of air transportation needs of the future and feature all advanced technologies developed and studied within the SE2A cluster.  

ADEMO - Aircraft Design Engine based on Multi-Disciplinary Analysis and Optimization

ADEMO consists of multiple layers. The first layer is a full aircraft conceptual design tool, including all the relevant disciplines in aircraft design, however with a lower/medium level of fidelity. This tool is used for full aircraft conceptual design and provides general outputs such as aircraft geometry, weight breakdown, energy consumption, and mission analysis. The second layer is a surrogate modeling toolbox, which is used for connecting the results of higher fidelity and experimental analysis to the low fidelity design tool. This toolbox is also used for multi-fidelity optimization. The third layer, is a physics-based coupled-adjoint multidisciplinary design optimization (MDO) toolbox, with a medium level of fidelity. This toolbox is used for more detailed design refinements of aircraft and providing outputs, such as aircraft loads for detailed structural design. Eventually, the fourth layer is a high fidelity MDO toolbox for design optimization of selected dominant aircraft components with advanced technologies being analyzed with the Research Cluster