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An improved damage diagnostic technique based on Singular Spectrum Analysis and time series models
An approach to enhance the sensitivity of the damage index using the prediction errors of autoregressive – autoregressive exogenous models by augmenting Singular Spectrum Analysis (SSA) to detect and locate minor damage is presented. Numerical simulation studies are carried out by considering a simply supported beam with single and multiple cracks. An experimental study on a reinforced cement concrete beam has been carried out to validate the technique using different levels of damage. The studies emphasise that the SSA improves the sensitivity of the damage index for detection and also localisation, handling environmental/operational variability and measurement noise.
An improved damage diagnostic technique based on Singular Spectrum Analysis and time series models
An approach to enhance the sensitivity of the damage index using the prediction errors of autoregressive – autoregressive exogenous models by augmenting Singular Spectrum Analysis (SSA) to detect and locate minor damage is presented. Numerical simulation studies are carried out by considering a simply supported beam with single and multiple cracks. An experimental study on a reinforced cement concrete beam has been carried out to validate the technique using different levels of damage. The studies emphasise that the SSA improves the sensitivity of the damage index for detection and also localisation, handling environmental/operational variability and measurement noise.
An improved damage diagnostic technique based on Singular Spectrum Analysis and time series models
Krishnasamy, Lakshmi (Autor:in) / Arumulla, Rama Mohan Rao (Autor:in) / Naga, Gopalakrishnan (Autor:in)
Structure and Infrastructure Engineering ; 14 ; 1412-1431
03.10.2018
20 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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