Civil structure condition assessment by FE model updating:

Brownjohn, James; Xia, Pinqi; Hao, Hong; Xia, Yong

doi:10.1016/s0168-874x(00)00071-8

Cited by 248 publications

(144 citation statements)

References 9 publications

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“…Structural identification of constructed systems typically requires the integration of structural conceptualization, finite element (FE) modeling, experimental execution, data processing, model calibration, simulation, interpretation and decisions [1]. Experimental responses are related to the physical properties of the system, and changes in these physical quantities are reflected as a change in the experimental responses.…”

Section: Introductionmentioning

confidence: 99%

Structural Damage Detection with Different Objective Functions in Noisy Conditions Using an Evolutionary Algorithm

et al. 2017

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Dynamic properties such as natural frequencies and mode shapes are directly affected by damage in structures. In this paper, changes in natural frequencies and mode shapes were used as the input to various objective functions for damage detection. Objective functions related to natural frequencies, mode shapes, modal flexibility and modal strain energy have been used, and their performances have been analyzed in varying noise conditions. Three beams were analyzed: two of which were simulated beams with single and multiple damage scenarios and one was an experimental beam. In order to do this, SAP 2000 (v14, Computers and Structures Inc., Berkeley, CA, United States, 2009) is linked with MATLAB (r2015, The MathWorks, Inc., Natick, MA, United States, 2015). The genetic algorithm (GA), an evolutionary algorithm (EA), was used to update the damaged structure for damage detection. Due to the degradation of the performance of objective functions in varying noisy conditions, a modified objective function based on the concept of regularization has been proposed, which can be effectively used in combination with EA. All three beams were used to validate the proposed procedure. It has been found that the modified objective function gives better results even in noisy and actual experimental conditions.

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Section: Introductionmentioning

confidence: 99%

Structural Damage Detection with Different Objective Functions in Noisy Conditions Using an Evolutionary Algorithm

et al. 2017

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“…In vibration-based model updating, the finite element (FE) model is iteratively modified to ensure that its vibration properties optimally reproduce the measured counterparts [1]. The FE model of a large-scale structure usually consists of a large number of degrees-of-freedom (DOFs) and many uncertain parameters, which make the conventional model updating method expensive in terms of computation time and computer memory.…”

Section: Introductionmentioning

confidence: 99%

Inverse substructure method for model updating of structures

Weng¹,

Xia²,

Zhou³

et al. 2012

Journal of Sound and Vibration

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Traditional model updating of large-scale structures is usually time-consuming because the global structural model needs to be repeatedly re-analyzed as a whole to match global measurements. This paper proposes a new substructural model updating method. The modal data measured on the global structure are disassembled to obtain the independent substructural dynamic flexibility matrices under force and displacement compatibility conditions. The method is extended to the case when the measurement is carried out at partial degrees-of-freedom of the structure. The extracted substructural flexibility matrices are then used as references for updating the corresponding substructural models. An orthogonal projector is employed on both the extracted substructural measurements and the substructural models to remove the rigid body modes of the free-free substructures. Compared with the traditional model updating at the global structure level, only the sub-models at the substructural level are re-analyzed in the proposed substructure-based model updating process, resulting in a rapid convergence of optimization.Moreover, only measurement on the local area corresponding to the concerned substructures is required, and those on other components can be avoided. The effectiveness and efficiency of the proposed substructuring method are verified through applications to a laboratory-tested frame structure and a large-scale 600 m tall Guangzhou New TV Tower. The present technique is referred to as the inverse substructuring model updating method as the measured global modal data are disassembled into the substructure level and then the updating is conducted on the substructures only. This differs from the substructuring model updating method previously This is the Pre-Published Version. 2 proposed by the authors, in which the model updating is still conducted in the global level and the numerical global modal data are assembled from those of substructures. That can be referred to as the forward substructuring model updating method.

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“…Brownjohn and Xia (2000) introduced the sensitivitybased model updating method into the structural condition assessment procedure. This method was later applied to real bridges to update the bridge models for condition assessment (Brownjohn et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Bridge Load Carrying Capacity Using Updated Finite Element Model and Nonlinear Analysis

Ding

Hao

Xia

et al. 2012

Advances in Structural Engineering

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The integrity of ageing bridges is in doubt because of increasing traffic loads, deterioration of materials, possible damage during service, and revised code requirements. Traditional methods in prediction of load varying capacity of bridges are usually based on the design blueprints and may not reflect the bridge condition as is. In this paper, the nonlinear finite element analysis, incorporating the model updating technique, is used to predict the behaviour of a 30-year-old slab-girder bridge. The original finite element model based on the design drawings is updated by modifying the stiffness parameters of the girders, slab, shear connectors and bearings so that the vibration properties of the model match the field vibration measurement data. The updated model represents the present condition of the bridge better than the original model that is based on the design blueprints. The load carrying capacity of the bridge is then calculated using the original and updated finite element models, respectively, with consideration of nonlinear material properties. The comparison shows that the bridge load carrying capacity under the present condition is lower than that under the design condition, whereas is still above the design requirement. The influence of the shear connectors on the load carrying capacity is specially investigated.

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Civil structure condition assessment by FE model updating:

Cited by 248 publications

References 9 publications

Structural Damage Detection with Different Objective Functions in Noisy Conditions Using an Evolutionary Algorithm

Structural Damage Detection with Different Objective Functions in Noisy Conditions Using an Evolutionary Algorithm

Inverse substructure method for model updating of structures

Evaluation of Bridge Load Carrying Capacity Using Updated Finite Element Model and Nonlinear Analysis

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