An improved damage diagnostic technique based on Singular Spectrum Analysis and time series models |
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Authors: | Lakshmi Krishnasamy Rama Mohan Rao Arumulla Gopalakrishnan Naga |
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Affiliation: | 1. Academy of Scientific and Innovative Research, New Delhi, India;2. CSIR-Structural Engineering Research Centre, Chennai, India;3. CSIR-Structural Engineering Research Centre, Chennai, India |
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Abstract: | 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. |
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Keywords: | Time series analysis autoregressive models Singular Spectrum Analysis damage diagnostics structural health monitoring |
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