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https://hdl.handle.net/20.500.14279/9834
Title: | On the use of dispersion analysis for model assessment in structural identification | Authors: | Dertimanis, Vasilis | Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Keywords: | Covariance matrix;Dispersion analysis;Energy analysis;Experimental/operational modal analysis;Model order estimation;Model reduction;Spurious modesst;Stabilization diagrams;State-space;Structural identification | Issue Date: | Nov-2013 | Source: | JVC/Journal of Vibration and Control, 2013, vol. 19, no. 15, pp. 2270-2284 | Volume: | 19 | Issue: | 15 | Start page: | 2270 | End page: | 2284 | Journal: | Journal of Vibration and Control | Abstract: | One of the most important issues faced in parametric time-domain identification and subsequent experimental/operational modal analysis is the correct estimation of model order, which in turn determines the number of structural vibration modes. The aim of this study is to provide a quantitative and physically meaningful framework for model order assessment that is characterized by global applicability, in the sense of implementation in both state-space and transfer function model representations. To this end and under the assumption of stationary wideband excitation, a novel dispersion analysis scheme is proposed for the quantification of every mode's relative importance to the total stochastic response, which is based on a modal decomposition of the covariance matrix. Subsequently, after defining the modal dispersion matrix, a corresponding metric is introduced and used either as a stand alone tool for model order assessment, or as an extension of existing tools, such as stabilization diagrams. The method is validated through both simulated (NASA Mini-Mast truss) and experimental (suspended steel subframe flexible structure) identification problems, for which a subspace and a prediction-error estimation method are utilized and compared under the proposed quantitative indices. Moreover, performance comparisons with other energy-based metrics are also reported. The results indicate that the proposed method can be effectively used in parametric time-domain structural identification, for both order assessment and comparison of diverse model-based estimation methods. | URI: | https://hdl.handle.net/20.500.14279/9834 | ISSN: | 17412986 | DOI: | 10.1177/1077546313501536 | Rights: | © The Author(s) | Type: | Article | Affiliation : | Cyprus University of Technology | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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