Nonlinear finite element model updating of an infilled frame based on identified time-varying modal parameters during an earthquake

被引:57
作者
Asgarieh, Eliyar [1 ]
Moaveni, Babak [1 ]
Stavridis, Andreas [2 ]
机构
[1] Tufts Univ, Dept Civil & Environm Engn, Medford, MA 02155 USA
[2] SUNY Buffalo, Dept Civil Struct & Environm Engn, Buffalo, NY 14260 USA
基金
美国国家科学基金会;
关键词
EXTENDED KALMAN FILTER; STRUCTURAL DYNAMICS; RANDOM VIBRATION; DAMAGE IDENTIFICATION; SYSTEM-IDENTIFICATION; HYSTERETIC SYSTEMS; SHAKE-TABLE;
D O I
10.1016/j.jsv.2014.04.064
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
A model updating methodology is proposed for calibration of nonlinear finite element (FE) models simulating the behavior of real-world complex civil structures subjected to seismic excitations. In the proposed methodology, parameters of hysteretic material models assigned to elements (or substructures) of a nonlinear FE model are updated by minimizing an objective function. The objective function used in this study is the misfit between the experimentally identified time-varying modal parameters of the structure and those of the FE model at selected time instances along the response time history. The time-varying modal parameters are estimated using the deterministic-stochastic subspace identification method which is an input-output system identification approach. The performance of the proposed updating method is evaluated through numerical and experimental applications on a large-scale three-story reinforced concrete frame with masonry infills. The test structure was subjected to seismic base excitations of increasing amplitude at a large outdoor shake-table. A nonlinear FE model of the test structure has been calibrated to match the time-varying modal parameters of the test structure identified from measured data during a seismic base excitation. The accuracy of the proposed nonlinear FE model updating procedure is quantified in numerical and experimental applications using different error metrics. The calibrated models predict the exact simulated response very accurately in the numerical application, while the updated models match the measured response reasonably well in the experimental application. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:6057 / 6073
页数:17
相关论文
共 38 条
[1]  
BABER TT, 1981, J ENG MECH DIV-ASCE, V107, P1069
[2]   RANDOM VIBRATION OF DEGRADING, PINCHING SYSTEMS [J].
BABER, TT ;
NOORI, MN .
JOURNAL OF ENGINEERING MECHANICS-ASCE, 1985, 111 (08) :1010-1026
[3]  
Beardsley P.J., 1999, P 2 INT WORKSH STRUC
[4]  
Bouc R., 1967, P 4 C NONLINEAR OSCI
[5]   Vibration based condition monitoring: A review [J].
Carden, EP ;
Fanning, P .
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2004, 3 (04) :355-377
[6]   Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty [J].
Chatzi, Eleni N. ;
Smyth, Andrew W. ;
Masri, Sami F. .
STRUCTURAL SAFETY, 2010, 32 (05) :326-337
[7]   The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing [J].
Chatzi, Eleni N. ;
Smyth, Andrew W. .
STRUCTURAL CONTROL & HEALTH MONITORING, 2009, 16 (01) :99-123
[8]  
Distefano N., 1975, Computer Methods in Applied Mechanics and Engineering, V5, P353, DOI 10.1016/0045-7825(75)90007-9
[9]  
Distefano N., 1974, Computer Methods in Applied Mechanics and Engineering, V6, P219
[10]  
Doebling S.W., 1996, ALAMOS NATL LAB REPO, DOI [10.2172/249299, DOI 10.2172/249299]