التفاصيل البيبلوغرافية
| العنوان: |
Parametric time-domain identification of multiple-input systems using decoupled output signals |
| المؤلفون: |
Billie F. Spencer, Amr S. Elnashai, M. Ruiz-Sandoval, Jian Li |
| المصدر: |
Earthquake Engineering & Structural Dynamics. 43:1307-1324 |
| بيانات النشر: |
Wiley, 2013. |
| سنة النشر: |
2013 |
| مصطلحات موضوعية: |
Engineering, business.industry, MIMO, System identification, Decoupling (cosmology), Geotechnical Engineering and Engineering Geology, Autoregressive model, Control theory, Earth and Planetary Sciences (miscellaneous), Coherence (signal processing), Time domain, business, Eigensystem realization algorithm, Parametric statistics |
| الوصف: |
SUMMARY Civil engineering structures are often subjected to multidirectional actions such as earthquake ground motion, which lead to complex structural responses. The contributions from the latter multidirectional actions to the response are highly coupled, leading to a MIMO system identification problem. Compared with single-input, multiple-output (SIMO) system identification, MIMO problems are more computationally complex and error prone. In this paper, a new system identification strategy is proposed for civil engineering structures with multiple inputs that induce strong coupling in the response. The proposed solution comprises converting the MIMO problem into separate SIMO problems, decoupling the outputs by extracting the contribution from the respective input signals to the outputs. To this end, a QR factorization-based decoupling method is employed, and its performance is examined. Three factors, which affect the accuracy of the decoupling result, including memory length, input correlation, and system damping, are investigated. Additionally, a system identification method that combines the autoregressive model with exogenous input (ARX) and the Eigensystem Realization Algorithm (ERA) is proposed. The associated extended modal amplitude coherence and modal phase collinearity are used to delineate the structural and noise modes in the fitted ARX model. The efficacy of the ARX-ERA method is then demonstrated through identification of the modal properties of a highway overcrossing bridge. Copyright © 2013 John Wiley & Sons, Ltd. |
| تدمد: |
0098-8847 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_________::0b072a03b1b04f55337d37ebc1a29423
https://doi.org/10.1002/eqe.2398 |
| حقوق: |
CLOSED |
| رقم الأكسشن: |
edsair.doi...........0b072a03b1b04f55337d37ebc1a29423 |
| قاعدة البيانات: |
OpenAIRE |
