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http://dx.doi.org/10.12989/sss.2019.24.6.683

Nonlinear finite element model updating with a decentralized approach  

Ni, P.H. (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology)
Ye, X.W. (Department of Civil Engineering, Zhejiang University)
Publication Information
Smart Structures and Systems / v.24, no.6, 2019 , pp. 683-692 More about this Journal
Abstract
Traditional damage detection methods for nonlinear structures are often based on simplified models, such as the mass-spring-damper and shear-building models, which are insufficient for predicting the vibration responses of a real structure. Conventional global nonlinear finite element model updating methods are computationally intensive and time consuming. Thus, they cannot be applied to practical structures. A decentralized approach for identifying the nonlinear material parameters is proposed in this study. With this technique, a structure is divided into several small zones on the basis of its structural configuration. The unknown material parameters and measured vibration responses are then divided into several subsets accordingly. The structural parameters of each subset are then updated using the vibration responses of the subset with the Newton-successive-over-relaxation (SOR) method. A reinforced concrete and steel frame structure subjected to earthquake loading is used to verify the effectiveness and accuracy of the proposed method. The parameters in the material constitutive model, such as compressive strength, initial tangent stiffness and yielding stress, are identified accurately and efficiently compared with the global nonlinear model updating approach.
Keywords
nonlinear finite element method; model updating; system identification; decentralized approach;
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Times Cited By KSCI : 3  (Citation Analysis)
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