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SUMMARY:Non-stationarity in structural dynamics\, challenges and implicati
 ons for modelling and structural health monitoring - Luis David Avendaño-
 Valencia\, Associate Professor\, University of Southern Denmark
DTSTART:20260529T150000Z
DTEND:20260529T160000Z
UID:TALK245527@talks.cam.ac.uk
CONTACT:46601
DESCRIPTION:Real-world structures operate under varying environmental and 
 operational conditions\, causing their dynamic properties to evolve over t
 ime. This non-stationary behaviour—observable across time scales from in
 stantaneous to life-long—poses a major challenge for modelling\, monitor
 ing\, and prognosis of structural systems: how can we model and manage the
 se changes to ensure reliable damage detection and remaining useful life a
 ssessment? In this talk\, we explore the primary sources of non-stationari
 ty in structural dynamics and how they manifest in vibration data. Then\, 
 a parametric Bayesian time-series modelling framework is introduced\, whic
 h provides compact\, accurate\, and uncertainty-aware representations of n
 on-stationary dynamics. This approach enables computationally efficient an
 alysis while enhancing robustness for SHM\, operational vibration monitori
 ng\, and digital twin applications. Simulation\, prediction\, and the deve
 lopment of damage diagnosis algorithms are demonstrated on the basis of th
 e proposed Bayesian modelling framework. Lastly\, a discussion on future p
 erspectives\, open questions\, and opportunities that will shape next-gene
 ration modelling and SHM strategies is provided.\n\n 
LOCATION:JDB Seminar Room\, CUED
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