Programme

Teaching Unit I
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

Core Documentation

- Lecture Notes
- Daniel P. Raymer, Aircraft Design: A Conceptual Approach, Volume 1, AIAA education series, ISBN 1563478307, 9781563478307
- Sobieszczanski-Sobieski, Alan Morris, Michel van Tooren, "MULTIDISCIPLINARY DESIGN OPTIMIZATION SUPPORTED BY KNOWLEDGE BASED ENGINEERING", Wiley, 2015

Reference Bibliography

[1] Ding-Zhu Du, Panos Pardalos, Weili Wu, "Mathematical Theory of Optimization", DOI 10.1007/978-1-4757-5795-8, ISBN 978-1-4020-0015-7, Springer US, 2001. [2] P. Gill, W. Murray, M. H. Wright, "Practical Optimization", Academic Press, ISBN 0-12-283950-1 9, 2003. [3] P. Papalambros, D. Wilde, "Principles of Optimal Design. Modelling and Computation", Cambridge University Press, ISBN 0 521 62215 8, 2000. [4] G. Vanderplaats, "Numerical Optimization Techniques for Engineering Design", Vanderplaats Research and Development Inc., ISBN 0-944956-01-7, 2001. [5] J. Roskam, "Airplane Design", DARcorporation, ISBN 1884885551, 9781884885556, 1985.

Type of delivery of the course

The agenda of the course is structured as follows: - four hours/week of frontal teaching on topics related to Teaching Units I, II, and III - two hours/week of supervised laboratory activity on topics pertaining to TU IV Weekly homework assignments are foreseen on topics related to topics covered in the lectures of the week. Students are asked to form teams of 4/5 elements and submit a design proposal to the teachers approval. The teams must deliver the final design work according to the time schedule agreed with the teacher. During the second part of the course, additional laboratory activities are foreseen to support the students teams in the development of the design work. The students are introduced to the use of the tools of analysis, simulation and optimisation, as well as to the basic programming skills required to setup the multidisciplinary design framework.

Attendance

Although not mandatory, attendance is strongly recommended in consideration of the design-oriented nature of the course.

Type of evaluation

Each student is evaluated on the basis of three elements of judgement: - quality of the project (global rank for the entire team) - quality of the individual contribution to the project - level of preparation on the topics of TU I, II, III. The evaluation takes place through a project presentation and a viva voce exam.