This module intends to introduce students to the importance of aeroelastic phenomena and their implication on aircraft structural design and analysis. It addresses the level and types of aircraft structures interaction with elastic, inertial and aerodynamic forces. Students are familiarised with issues related to aeroelastic stability and response, concept of flexible aircraft, and static and dynamic aeroelastic problems such as; control reversal, divergence, flutter, and limit cycle oscillations. Also unsteady aerodynamic phenomena such as vortex shedding, and buffeting are discussed in-line with the aeroelastic stability of the aircraft structure.
Particular topics to be covered:
Structural and aerodynamic stiffness
Static aeroelasticity: static divergence of airfoil section/wing, adverse static aeroelastic effects and control reversal and effectiveness
Dynamic Aeroelasticity: aerodynamic loads on flexible /oscillating wing, gust response, types of flutter, solutions to flutter problem
Aeroelastic design (FSI): use of combined- mathematical model(s) (in the form of simulation package, e.g. CFD-FEA) to solve and model aerodynamic forces interacting with the (aircraft) structures and the structural dynamic response.
Experimental Aeroelastic: aeroelastic scaling, flutter test
- During the course of this module students will develop their UWS Graduate Attributes (https://www.uws.ac.uk/current-students/your-graduate-attributes/);
Universal: academic atributes (critical thinking and analytical & inquiring mind); professional attribute (research-mind)
Work-Ready: academic attributes (knowledge of aeroelasticity and relevant ICT skills, problem solving).
Successful: academic attribute (autonomous); personal attribute (resilient); professional attribute (driven).
- This module has been reviewed and updated, taking cognisance of the University’s Curriculum Framework principles. Examples of this are found within the module such as active and engaging module assessment which reflects industry design activities, learning synergies across modules and levels of study, recorded lecture content supporting students to organise their own study time and the use of real-world practical student generated data with to compare with and validate simulation activity developing digital intelligence meta-skills.
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