Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/102588
| Title: | Sensitivity-based finite element model updating using dynamic condensation approach | Authors: | Zhu, T Tian, W Weng, S Ge, H Xia, Y Wang, C |
Issue Date: | Aug-2018 | Source: | International journal of structural stability and dynamics, Aug. 2018, v. 18, no. 8, 1840004 | Abstract: | An accurate finite element (FE) model is frequently used in damage detection, optimization design, reliability analysis, nonlinear analysis, and so forth. The FE model updating of large-scale structures is usually time-consuming or even impossible. This paper proposes a dynamic condensation approach for model updating of large-scale structures. The eigensolutions are calculated from a condensed eigenequation and the eigensensitivities are calculated without selection of additional master DOFs, which is helpful to improve the efficiency of FE model updating. The proposed model updating method is applied to an eight-storey frame and the Jun Shan Yangtze Bridge. By employing the dynamic condensation approach, the number of iterations for the eigensensitivities is gradually increased according to the model updating process, which contributes to accelerate the convergence of model updating. | Keywords: | Dynamic condensation approach Eigensensitivities Eigensolutions Finite element model updating |
Publisher: | World Scientific | Journal: | International journal of structural stability and dynamics | ISSN: | 0219-4554 | EISSN: | 1793-6764 | DOI: | 10.1142/S0219455418400047 | Rights: | Electronic version of an article published as International Journal of Structural Stability and Dynamics, Vol. 18, No. 08, 1840004 (2018). https://doi.org/10.1142/S0219455418400047. © World Scientific Publishing Company. https://www.worldscientific.com/worldscinet/ijssd. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Xia_Sensitivity-Based_Finite_Element.pdf | Pre-Published version | 1.18 MB | Adobe PDF | View/Open |
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