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DTSTART:20240826T080000Z
DTEND:20240826T084500Z
SUMMARY:Vibration data and underlying physics models for adaptive structural health monitoring
DESCRIPTION:<p><span>A DCAMM seminar will be presented by</span></p>\n<p style="margin-bottom: 0.0001pt; text-align: center;"><strong><span><br />\n</span></strong></p>\n<p style="margin-bottom: 0cm; text-align: center;"><strong><span>Senior lecturer, Dr. David Garcia Cava<br />\nSchool of Engineering,<br />\nUniversity of Edinburgh, United Kingdom<br />\n&nbsp;<br />\n&nbsp;<br />\n</span></strong></p>\n<p style="margin-bottom: 0.0001pt; text-align: center;"><strong><span>\n&nbsp;<br />\n</span></strong></p>\n<p>\n<strong style="text-align: justify;">Abstract:</strong></p>\n<p><strong style="text-align: justify;"></strong><span style="text-align: justify;">In the context of long-term monitoring applications, there are numerous structural states that exhibit similar behaviour but cannot be generalised with a single model (whether data- or physics-based) due to the inherent time-variant nature of structural evolution.&nbsp;</span><span style="text-align: justify;">Addressing such scenarios necessitates methodologies with adaptable models that can capture the interdependencies between Environ-</span><span style="text-align: justify;">mental and Operational Variabilities (EOV) and Damage Sensitivity Features (DSF) at various stages of structural evolution. The&nbsp;</span><span style="text-align: justify;">challenge lies in determining when distinct structures can be considered pseudo-similar, thereby sharing the same underlying physical properties to better represent the dynamics and associated EOV dependencies. Similarly, the incorporation of physics-based models, with varying levels of fidelity, adds knowledge towards understanding structural changes, which is essential for incorporating interpretable constraints on DSF evolution. In this seminar, I aim to share recent advances from the Dynamics, Vibration and Monitoring research&nbsp;</span><span style="text-align: justify;">group on two fronts: (i) the latest approaches for mitigating the effects of EOV through adaptive stochastic data modelling that evolves&nbsp;</span><span style="text-align: justify;">with the structural integrity, and (ii) the capabilities of incorporating underlying physics models of the dynamics of structural elements&nbsp;</span><span style="text-align: justify;">to inform real data through interpretable constraints and predictions on structural integrity evolution. The fundamentals of these</span><span style="text-align: justify;">approaches and their applications in the wind energy sector will be presented.<br />\n<br />\nC</span>ake, coffee and tea will be served 15 minutes before the seminar starts.<br />\n<br />\n<span style="text-align: justify;">All interested persons are invited</span></p>
X-ALT-DESC;FMTTYPE=text/html:<p><span>A DCAMM seminar will be presented by</span></p>\n<p style="margin-bottom: 0.0001pt; text-align: center;"><strong><span><br />\n</span></strong></p>\n<p style="margin-bottom: 0cm; text-align: center;"><strong><span>Senior lecturer, Dr. David Garcia Cava<br />\nSchool of Engineering,<br />\nUniversity of Edinburgh, United Kingdom<br />\n&nbsp;<br />\n&nbsp;<br />\n</span></strong></p>\n<p style="margin-bottom: 0.0001pt; text-align: center;"><strong><span>\n&nbsp;<br />\n</span></strong></p>\n<p>\n<strong style="text-align: justify;">Abstract:</strong></p>\n<p><strong style="text-align: justify;"></strong><span style="text-align: justify;">In the context of long-term monitoring applications, there are numerous structural states that exhibit similar behaviour but cannot be generalised with a single model (whether data- or physics-based) due to the inherent time-variant nature of structural evolution.&nbsp;</span><span style="text-align: justify;">Addressing such scenarios necessitates methodologies with adaptable models that can capture the interdependencies between Environ-</span><span style="text-align: justify;">mental and Operational Variabilities (EOV) and Damage Sensitivity Features (DSF) at various stages of structural evolution. The&nbsp;</span><span style="text-align: justify;">challenge lies in determining when distinct structures can be considered pseudo-similar, thereby sharing the same underlying physical properties to better represent the dynamics and associated EOV dependencies. Similarly, the incorporation of physics-based models, with varying levels of fidelity, adds knowledge towards understanding structural changes, which is essential for incorporating interpretable constraints on DSF evolution. In this seminar, I aim to share recent advances from the Dynamics, Vibration and Monitoring research&nbsp;</span><span style="text-align: justify;">group on two fronts: (i) the latest approaches for mitigating the effects of EOV through adaptive stochastic data modelling that evolves&nbsp;</span><span style="text-align: justify;">with the structural integrity, and (ii) the capabilities of incorporating underlying physics models of the dynamics of structural elements&nbsp;</span><span style="text-align: justify;">to inform real data through interpretable constraints and predictions on structural integrity evolution. The fundamentals of these</span><span style="text-align: justify;">approaches and their applications in the wind energy sector will be presented.<br />\n<br />\nC</span>ake, coffee and tea will be served 15 minutes before the seminar starts.<br />\n<br />\n<span style="text-align: justify;">All interested persons are invited</span></p>

URL:http://www.dcamm.dk/da/Kalender/2024/08/Seminar_No_778
DTSTAMP:20260912T094500Z
UID:{E124E6A8-852C-4207-8EE7-11D865355160}-20240826T080000Z-20240826T080000Z
LOCATION: Benz Seminar room, Ø31-605-2, Moseskovvej 67, Odense, SDU, University of Southern Denmark
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