You are here

Novel Methods for Three-Dimensional Aerodynamic Optimization

Project Type: 
Past

This project aims to develop state-of-the-art mathematical tools for the aerospace industry to aid in the design of more efficient aircraft. Such tools have the potential to greatly reduce the time and cost associated with the design of new aircraft, thus providing a competitive advantage to the industry.

Project Leader(s): 

Dr. David Zingg, University of Toronto

This project aims to develop state-of-the-art mathematical tools for the aerospace industry to aid in the design of more efficient aircraft. Such tools have the potential to greatly reduce the time and cost associated with the design of new aircraft, thus providing a competitive advantage to the industry. In the past year, the team made considerable progress in the development of a three-dimensional aerodynamic shape optimization algorithm. Important improvements were made to the algorithms under development, leading to improved accuracy, efficiency, and applicability. These developments resulted in successful wing optimizations which the team will be using for various objectives, including the study of unconventional wing configurations, such as split-tip wings, that significantly reduce induced drag.

Project team: 
Dr. J.R.R.A. Martins, University of Toronto
Dr. Carl Ollivier-Gooch, University of British Columbia
Dr. Dominique Orban, Ecole Polytechnique
Dr. Luis Rodriguez, Concordia University
Non-academic participants: 
Funding period: 
October 1, 2021 - March 31, 2021