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Damage Quantification in Composite Structures Using Autoregressive Models
(2020-01-01)
When small damage is detected in its initial stage in a real structure, it is necessary to decide if the user must repair immediately or keep on safely monitoring it. Regarding the second choice, the present paper proposes ...
Delamination area quantification in composite structures using Gaussian process regression and auto-regressive models
(2020-01-01)
After detecting initial delamination damage in a hotspot region of a composite structure monitored through a data-driven approach, the user needs to decide if there is an imminent structural failure or if the system can ...
Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades
(2021-01-01)
This study aims to investigate the performance of a data-driven methodology for quantifying damage based on the use of a metamodel obtained from the Polynomial Chaos-Kriging method. The investigation seeks to quantify the ...
Synthesis of healthy-structure model responses for damage quantification
(Sage Publications Ltd, 2022)
A Spectral Approach For Damage Quantification In Stochastic Dynamic Systems
(Academic Press Ltd- Elsevier Science LtdLondon, 2017)
Damage detection in uncertain nonlinear systems based on stochastic Volterra series
(2018-01-01)
The damage detection problem in mechanical systems, using vibration measurements, is commonly called Structural Health Monitoring (SHM). Many tools are able to detect damages by changes in the vibration pattern, mainly, ...
Identification of structural damage in flexible structures using system norm and neural networks
(2006-12-01)
Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of ...
Identification of structural damage in flexible structures using system norm and neural networks
(2006-12-01)
Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of ...
Damage detection in an uncertain nonlinear beam
(2017-01-01)
The present paper proposes the use of discrete time Volterra series expanded with Kautz filters for predicting the experimental response of a nonlinear beam, taking into account uncertainties that are inherent to the system. ...