PSI - Issue 14

K Lakshmi et al. / Procedia Structural Integrity 14 (2019) 282–289 Lakshmi and Rama Mohan Rao/ Structural Integrity Procedia 00 (2018) 000–000

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models, in terms of subspace angles. Numerical simulation studies have been carried out by considering a simply supported beam with minor cracks. Laboratory experimental studies have been carried out by considering an RCC beam to complement the numerical simulations and also demonstrate its practical applicability in the field.

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Fig. 5. Damage diagnosis of RCC beam-Multiple Damage: (a) reconstructed healthy data and current data; (b) normalised damage index evaluated using distances of ARMAX models in subspace angles. References Das, S., Saha, P., Patro, S. K., 2016. Vibration-based damage detection techniques used for health monitoring of structures: a review. Journal of Civil Structural Health Monitoring 6(3), 477–507. Data normalization- a key for structural health monitoring: Report for 2001, Los Alamos National Laboratory, No. LA-UR-01-4212. Los Alamos National Lab., NM (US), 2001. Gao, Y., Ge, G., Sheng, Z., et al., 2008. Analysis and Solution to the Mode Mixing Phenomenon in EMD, Congress on Image and Signal Processing, Washington, DC, USA, 5, 223-227. Huang, N. E., 2005. Introduction to Hilbert-Huang transform and some recent developments, in “ Hilbert-Huang Transform in Engineering ”. In: Taylor & Francis, pp. 1-24. Huang, N. E., Shen, S, S., 2014. “ Hilbert-Huang Transform and Its Applications” . In World Scientific, 16. Lakshmi, K., Rao, A. R. M., 2014. A robust damage-detection technique with environmental variability combining time-series models with principal components. Nondestructive Testing and Evaluation 29(4), 357–376. Lakshmi, K., Rao, A. R. M., 2015. Damage identification technique based on time series models for LANL and ASCE benchmark structures. Journal of Non-destructive Testing and Condition Monitoring 57(10), 580-588. Lakshmi, K., Rao, A. R. M., Gopalakrishnan,N., 2017. Singular Spectrum Analysis combined with ARMAX model for structural damage detection. Structural Control and Health Monitoring, 24, DOI: 10.1002/stc.1960. Moore, K. J., Kurt, M., Eriten, M., et al., 2018. Wavelet-bounded empirical mode decomposition for measured time series analysis. Mechanical Systems and Signal Processing 99, 14–29. Rao, A. R. M., Lakshmi, K., 2015. Damage diagnostic technique combining POD with time-frequency analysis and dynamic quantum PSO. Meccanica 50(6), 1551–1578. Rao, A. R. M., Lakshmi, K., Krishna Kumar, S., 2015. Detection of delamination in laminated composites with limited measurements combining PCA and dynamic QPSO. Advances in Engineering Software 86 (2015), 85–106. Shen, S. S., Shu, T., Huang, N. E., et al., 2014. HHT Analysis of the Nonlinear and Non-Stationary Annual Cycle of Daily Surface Air Temperature Data, in “ Interdisciplinary Mathematical Sciences: Hilbert-Huang Transform and Its Applications ”, In: World Scientific, 5, 187–209. Tibaduiza, D. A., Mujica, L. E., Rodellar, J., et al., 2015. Structural damage detection using principal component analysis and damage indices. Journal of Intelligent Material Systems and Structures 27(2), 233–248. Zheng, H., Mita, A., 2008. Damage indicator defined as the distance between ARMA models for structural health monitoring. Structural Control and Health Monitoring 15(7), 992–1005.