Problem Definition: The assessment of environmental impact of launch vehicles depends on both architectural and technological choices (type of return strategy, type of propellant, engine cycle). System-level trades-off between performance, cost and environmental impacts require multidisciplinary analysis and optimization with a focus on the design of a robust reusable first stage with respect to model hypotheses (emissions, LCA) and uncertainties.
Research Objectives:
- Development of a multidisciplinary optimization approach to deal with model uncertainties in system-level trade-offs assessment
- Multi-fidelity model enrichment along the DN project with new generated high-fidelity data
- Application to the design of reusable first stage for different types of architectures (toss-back, glide-back)
Expected Results:
- Trajectory simulation and optimization (ascent and return) for different architectures and technologies
- Use of multi-fidelity aggregation techniques and adaptive refinement strategies (to reduce the uncertainties of the climate models)
- Uncertainty quantification and propagation up to the global performance / environmental impact
- Balance between overall performance and climate impact through dedicated optimization strategy
Secondments:
- Paul Scherer Institut (PSI, Villingen, Switzerland, ca. 4 months): Inclusion of system level model in the global LCA of launcher
- Institut supérieur de l'aéronautique et de l'espace (ISAE, Toulouse, France, ca. 4 months): Update of rocket emissions at the system level
Main Supervisor:
Co-Supervisors:
Share this position
Facebook
X.com
LinkedIn