Structural Parameter Identification in Time Domain using Generalized Hybrid Inversion Method
- DOI
- 10.2991/icsmim-15.2016.193How to use a DOI?
- Keywords
- structural parameter identification; ground motion inversion; extended Kalman filter method (EKF); hybrid inversion method; generalized hybrid inversion method
- Abstract
A structural parameter identification method without input information and with limited observations is proposed to identify the stiffness parameters and damping coefficient, to inverse the input information and to estimate the unmeasured responses in time domain. The unique feature of this technique is that it requires only the displacement responses of substructure. This method has two steps: 1) structural physical parameter identification of substructure and input inversion using hybrid inversion method (HIM) with introducing the combination method of the modified Levenberg- Marquadt and the singular value decomposition (SVD-mLM) and rectangular window method, and 2) structural physical parameter identification of whole structure and estimation of unmeasured responses using the extended Kalman filter method with weighted global iteration (EKF-WGI) coupled with memory fading filter (MFF) technique and Runge-Kutta (R-K) method. The improved method is called as generalized hybrid inversion method (GHIM) by the authors. The parameter identification and the response estimation are carried out using the proposed method by a numerical example. Three noise contaminated cases of the displacement responses are considered. The robustness, efficiency and accuracy of the new technique are verified by the results.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiangjian Wang AU - Jie Cui PY - 2016/01 DA - 2016/01 TI - Structural Parameter Identification in Time Domain using Generalized Hybrid Inversion Method BT - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials PB - Atlantis Press SP - 1048 EP - 1057 SN - 2352-538X UR - https://doi.org/10.2991/icsmim-15.2016.193 DO - 10.2991/icsmim-15.2016.193 ID - Wang2016/01 ER -