Nonlinear structural model updating based on instantaneous frequencies and amplitudes of the decomposed dynamic responses

Abstract This paper proposes a new nonlinear structural model updating method based on the instantaneous frequencies and amplitudes of the decomposed dynamic responses under forced vibration. The instantaneous frequencies and amplitudes of the decomposed mono-component are first extracted by analytical mode decomposition (AMD) and Hilbert transform. Then, an objective function based on the residuals of instantaneous frequencies and amplitudes between experimental structure and nonlinear model is created for calibration of the nonlinear model. In this paper, the structural nonlinear properties are simulated by using hysteresis material parameters of Bouc–Wen model, and the optimal values of the hysteresis parameters are obtained by minimizing the objective function using the simulated annealing global optimization method. To validate the effectiveness of the proposed method, a three-story nonlinear shear type structure under earthquake and harmonic excitations is simulated as a numerical example. Then, the proposed method is verified by the shake table test of a real high voltage switch structure under forced vibration. The updated nonlinear structural model is further evaluated by the shake table test of the switch structure subjected to a new severe excitation. Both numerical and experimental results have shown that the proposed method can effectively update the nonlinear model and the updated model can be further used to predict the nonlinear responses due to new severe excitations.

[1]  Andrew W. Smyth,et al.  On-Line Parametric Identification of MDOF Nonlinear Hysteretic Systems , 1999 .

[2]  Emmanuel Foltête,et al.  Metrics for nonlinear model updating in structural dynamics , 2009 .

[3]  Wei-Xin Ren,et al.  Finite element model updating in structural dynamics by using the response surface method , 2010 .

[4]  Shirley J. Dyke,et al.  Nonlinear Model Updating in Concrete Structures based on Ambient Response Data , 2009 .

[5]  Andrew W. Smyth,et al.  Application of the unscented Kalman filter for real‐time nonlinear structural system identification , 2007 .

[6]  Genda Chen,et al.  Analytical mode decomposition with Hilbert transform for modal parameter identification of buildings under ambient vibration , 2014 .

[7]  Andreas Stavridis,et al.  Nonlinear finite element model updating of an infilled frame based on identified time-varying modal parameters during an earthquake , 2014 .

[8]  Wei-Xin Ren,et al.  Damage detection by finite element model updating using modal flexibility residual , 2006 .

[9]  Wei Song,et al.  Dynamic model updating with applications in structural and damping systems: From linear to nonlinear, from off-line to real-time , 2011 .

[10]  Mohammed Ismail,et al.  The Hysteresis Bouc-Wen Model, a Survey , 2009 .

[11]  Stefano Mariani,et al.  Unscented Kalman filtering for nonlinear structural dynamics , 2007 .

[12]  H. Zhang,et al.  Parameter Analysis of the Differential Model of Hysteresis , 2004 .

[13]  Wei-Xin Ren,et al.  Response Surface―Based Finite-Element-Model Updating Using Structural Static Responses , 2011 .

[14]  Babak Moaveni,et al.  Deterministic-stochastic subspace identification method for identification of nonlinear structures as time-varying linear systems , 2012 .

[15]  Zhang Yigong,et al.  Nonlinear structural identification using extended kalman filter , 1994 .

[16]  S. Shokat,et al.  電界応答性キトサン-ポリ(N,N-ジメチルアクリルアミド)セミIPNゲル膜およびそれらの誘電,熱および膨潤キャラクタリゼーション , 2013 .

[17]  Yeong-Bin Yang,et al.  A new direct method for updating structural models based on measured modal data , 2009 .

[18]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[19]  Zuo-Cai Wang,et al.  Analytical mode decomposition of time series with decaying amplitudes and overlapping instantaneous frequencies , 2013 .

[20]  Benjamin Richard,et al.  A methodology for robust updating of nonlinear structural models , 2012 .

[21]  Jann N. Yang,et al.  On-line identification of non-linear hysteretic structures using an adaptive tracking technique , 2004 .

[22]  Eleni Chatzi,et al.  The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non‐collocated heterogeneous sensing , 2009 .

[23]  F. Hemez,et al.  REVIEW AND ASSESSMENT OF MODEL UPDATING FOR NON-LINEAR, TRANSIENT DYNAMICS , 2001 .

[24]  Genda Chen,et al.  Time-varying system identification of high voltage switches of a power substation with slide-window least-squares parameter estimations , 2013 .

[25]  Zuo-Cai Wang,et al.  A signal decomposition theorem with Hilbert transform and its application to narrowband time series with closely spaced frequency components , 2012 .

[26]  Sangjoon Park,et al.  Experimental Investigation of Nonductile RC Corner Beam-Column Joints with Floor Slabs , 2013 .

[27]  C. Fritzen,et al.  DAMAGE DETECTION BASED ON MODEL UPDATING METHODS , 1998 .

[28]  Wei-Xin Ren,et al.  Structural Finite Element Model Updating Using Ambient Vibration Test Results , 2005 .

[29]  John E. Mottershead,et al.  Finite Element Model Updating in Structural Dynamics , 1995 .

[30]  Michael Feldman,et al.  Non-linear system vibration analysis using Hilbert transform--I. Free vibration analysis method 'Freevib' , 1994 .

[31]  F. Ikhouane,et al.  Variation of the hysteresis loop with the Bouc–Wen model parameters , 2007 .

[32]  Menahern Baruch,et al.  Optimal Weighted Orttiogonalization of Measured Modes , 1978 .

[33]  Jann N. Yang,et al.  Identification of Parametric Variations of Structures Based on Least Squares Estimation and Adaptive Tracking Technique , 2005 .

[34]  Wei-Xin Ren,et al.  Time-Varying Linear and Nonlinear Structural Identification with Analytical Mode Decomposition and Hilbert Transform , 2013 .

[35]  A. Berman,et al.  Improvement of a Large Analytical Model Using Test Data , 1983 .

[36]  Michael Feldman,et al.  NON-LINEAR FREE VIBRATION IDENTIFICATION VIA THE HILBERT TRANSFORM , 1997 .

[37]  Eleni Chatzi,et al.  Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty , 2010 .

[38]  Emile H. L. Aarts,et al.  Global optimization and simulated annealing , 1991, Math. Program..

[39]  Li Zhou,et al.  An adaptive extended Kalman filter for structural damage identification , 2006 .

[40]  Bijaya Jaishi,et al.  Finite element model updating based on eigenvalue and strain energy residuals using multiobjective optimisation technique , 2007 .