AIM OF THE COURSE IS TO PROVIDE THE FUNDAMENTAL METHODOLOGIES ADOPTED FOR THE CONCEPTUAL DESIGN OF COMMERCIAL AIRCRAFT STARTING FROM THE MISSION REQUIREMENTS AND TAKING INTO ACCOUNT ALL THE MAJOR TECHNICAL, REGULATION AND ENVIRONMENTAL CONSTRAINTS. THE DESIGN IS CONCEIVED IN AN INTEGRATED MULTIDISCIPLINARY FASHION, WITH A CAREFUL ANALYSIS OF THE MOST ADVANCED OPTIMIZATION TECHNIQUES. DURING THE COURSE, THE STUDENTS ARE INVOLVED IN THE COMPLETE DESIGN OF A REALISTIC CONFIGURATION.
teacher profile teaching materials
Initial sizing
MTOW estimate
Mission profiles
Aerodynamic and structural initial sizing
Propulsion integration
Lofting
Teaching Unit II
Fundamentals of multidisciplinary optimization
Local and global optimization methods
Multiobjective optimization
Multifidelity optimization
Surrogate models and metamodelling
DOE
Teaching Unit III
Knowledge-Based Engineering
Design in presence of technological and operative uncertainties
Uncertainty quantification
Robust optimization
Reliability-based optimization
Stochastic and adaptive metmodelling (Kriging, RBF, ...)
Teaching Unit IV
Tools and methods of analysis
Introduction to FRIDA (FRamework for Integrrated Design in Aeronautics) package
Introduction to GA (Genetic Algorithm) and PSO (Particle Swarm OPtimization)
Integration of simulation models
- Daniel P. Raymer, Aircraft Design: A Conceptual Approach, Volume 1, AIAA education series, ISBN 1563478307, 9781563478307
Programme
Teaching Unit IInitial sizing
MTOW estimate
Mission profiles
Aerodynamic and structural initial sizing
Propulsion integration
Lofting
Teaching Unit II
Fundamentals of multidisciplinary optimization
Local and global optimization methods
Multiobjective optimization
Multifidelity optimization
Surrogate models and metamodelling
DOE
Teaching Unit III
Knowledge-Based Engineering
Design in presence of technological and operative uncertainties
Uncertainty quantification
Robust optimization
Reliability-based optimization
Stochastic and adaptive metmodelling (Kriging, RBF, ...)
Teaching Unit IV
Tools and methods of analysis
Introduction to FRIDA (FRamework for Integrrated Design in Aeronautics) package
Introduction to GA (Genetic Algorithm) and PSO (Particle Swarm OPtimization)
Integration of simulation models
Core Documentation
- Lecture Notes- Daniel P. Raymer, Aircraft Design: A Conceptual Approach, Volume 1, AIAA education series, ISBN 1563478307, 9781563478307
Reference Bibliography
- Sobieszczanski-Sobieski, Alan Morris, Michel van Tooren, "MULTIDISCIPLINARY DESIGN OPTIMIZATION SUPPORTED BY KNOWLEDGE BASED ENGINEERING", Wiley, 2015 - Joaquim R. R. A. Martins and Andrew Ning. Engineering De- sign Optimization. Cambridge University Press, 2021. ISBN: 9781108833417.Type of delivery of the course
TraditionalAttendance
Although not mandatory, attendance is strongly recommended in consideration of the strong link existing between the theoretical part of the subject matter and the applications.Type of evaluation
The students propose a design exercise at the beginning of the course. The proposal is approved by the teacher. The final report is evaluated with marks in thirtieths. The exam is completed by a viva voce. The final mark is the weighted sum of the two marks, v=0.45 vp + 0.55 vv.