NON-PARAMETRIC IDENTIFICATION OF STRUCTURAL NONLINEARITY WITH LIMITED INPUT AND OUTPUT MEASUREMENTS

摘要：

In this paper, an algorithm is proposed for the identification of model free nonlinearity in structural system with limited input and output measurements. The identification algorithm has a twostage procedure. In the first stage, location of nonlinearity is detected based on a two-step Kalman estimator for the equivalent systems and leastsquares estimation of the unknown excitations. In the second stage, structural nonlinearity is treated as fictitious unknown inputs on the corresponding linear structures. By sequential Kalman estimator for the structural state vector and the least-squares estimation of the fictitious unknown inputs , and unknown excitation, structural nonlinear characteristics can be quantified. Identification of a 6-storey nonlinear shear-frame structure with unmeasured excitation on the top is studied as numerical examples to demonstrate the effect of the proposed algorithm.

作者: Ying Lei Yang Liu

作者单位: Department of Civil Engineering,Xiamen University,Xiamen 361005,China

会议类型: 国际会议

会议名称: The International Symposium on Innovation & Sustainability of Structures in Civil Engineering(2011年土木工程结构创新与可持续发展国际会议)

会议地点: 厦门

会议语种:英文

页码: 540-547

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）