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Non-parametric identification of structural nonlinearity with limited input and output measurements

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Date
2011
Author
Lei, Yin
Wu, Yan
雷鹰
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  • 建筑土木-会议论文 [108]
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Abstract
In this paper, a technique is proposed for non-parametric identification of structural nonlinearity with limited input and output measurements. The identification algorithm is based on the classical Kalman estimator for the displacement and the velocity responses and the recursive least square estimation for the unmeasured excitation and the restoring force. Two different models are used to simulate nonlinear structures: One is a 4-storey shear-frame structure with excitation on the top floor and the nonlinearity occurs at the bottom floor. The other is also a 4-storey shear-frame structure with both excitation and the nonlinearity at the top floor. Two numerical examples are carried out for the two kinds of models. Bouc-Wen hysteretic models are used to simulate the nonlinear impact. The simulation results demonstrate the efficiency of the proposed technique with limited output measurements. ? (2011) Trans Tech Publications.
Description
Conference Name:1st International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2011. Conference Address: Haikou, China. Time:June 18, 2011 - June 20, 2011.
 
Hainan University, College of Civil Engineering and Architecture; Guizhou University, College of Civil and Architecture Engineering; Hainan Society of Theoretical and Applied Mechanics
Citation
Advanced Materials Research, 2011,243-249:5403-5407
URI
https://dspace.xmu.edu.cn/handle/2288/85560

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