| KEYWORD |
Area Engineering
An enhanced output-only implementation of the Loewner Framework for the multi-input multi-output system identification of aerospace and civil structures.
Thesis abroad
keywords DAMAGE DETECTION, MODAL ANALYSIS, STRUCTURAL DYNAMICS, STRUCTURAL HEALTH MONITORING, VIBRATION DIAGNOSTICS
Reference persons MARCO CIVERA
External reference persons Prof Gabriele Dessena, Universidad Carlos III de Madrid, Spain
Thesis type EXPERIMENTAL, NUMERICAL
Description This thesis is primarily intended for aerospace, civil, or mechanical engineering students with an interest in structural dynamics.
Flight Vibration Testing is an emerging trend in research for flutter prediction and aircraft dynamics characterisation. This approach offers the advantage of incorporating the dynamic survey with the classic flight testing. This can be a fundamental advantage in the time-to-market of new designs, since both are requirements in the design and certification process of air and space vehicles. Recently, the Loewner Framework [1] was extended to output-only and to multi-input multi-output systems. The goal of this thesis would be to efficiently implement an output-only identification considering the frequency response functions with respect to all channels. This work would be carried out on numerical and experimental datasets (already available) of aeronautical, e.g. flexible wings, and civil, e.g. bridges, structures.
[1] G. Dessena, M. Civera, L. Zanotti Fragonara, D. I. Ignatyev, and J. F. Whidborne, ‘A Loewner-Based System Identification and Structural Health Monitoring Approach for Mechanical Systems’, Structural Control and Health Monitoring, vol. 2023. Hindawi Limited, pp. 1–22, Apr. 18, 2023. doi: 10.1155/2023/1891062.
Required skills Good basics of MATLAB and/or basics of Python (the student will be supported in further developing his/her coding skill during the project)
Notes Required grade average: >=27/30 (qualifying interview with the Spanish supervisor also required); knowledge of English at B2 level (minimum)
Deadline 28/03/2025
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