Finite element model updating of jointed structure based on modal and strain frequency response function

Zhan, Ming; Guo, Quanquan; Lin, Yue; Zhang, Baoqiang

doi:10.1007/s12206-019-0902-0

Cited by 16 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, FDAC is a frequency-dependent metric, which may lead to the issue of frequency points selection (Gang et al, 2014). FRAC describes the overall similarity between two FRFs by providing a single value in [0,1], which is more suitable for model updating as an objective function (Zhan et al, 2019). However,…”

Section: Figurementioning

confidence: 99%

A two-stage model updating method for the linear parts of structures with local nonlinearities

Zhang,

Wei,

Zhai

et al. 2023

Front. Mater.

View full text Add to dashboard Cite

Finite element model updating provides an important supplement for finite element modelling. However, some studies have shown that if the tested structure involves local nonlinearities due to damages, material properties and large deformation et al., it is difficult to achieve an accurate modified model using conventional model updating methods that are based on the assumption of linear structures. To address this issue, a two-stage model updating method separating the effects of local nonlinearities is proposed in this paper. Firstly, the underlying linear frequency response function is obtained by using the conditioned reverse path method. Then, combined with the Sherman-Morrison-Woodbury formula and the model updating objective function established by the frequency response function similarity metric, then structural model updating and damage detection are carried out as the second stage. Three numerical examples are given to illustrate the effectiveness of the proposed method. This method can not only accurately identify the location and quantify the extent of structural damages, but also has the advantages of not based on sensitivity, not depending on the selection of frequency points, not repeatedly calling the initial model et al. The proposed method has high computational efficiency and avoids the numerical problems often encountered by conventional frequency response function-based model updating methods.

show abstract

Section: Figurementioning

confidence: 99%

A two-stage model updating method for the linear parts of structures with local nonlinearities

Zhang,

Wei,

Zhai

et al. 2023

Front. Mater.

View full text Add to dashboard Cite

show abstract

“…In ASFE updating, certain parameters are systematically adjusted based on experimental data. This process is mainly carried out to improve the accuracy of the ASFE model [20]. ASFE parameters that are sensitive to experimental data are identified through sensitivity analysis.…”

Section: Updating the Asfe Modelmentioning

confidence: 99%

Using Updated and Expanded Data to Estimate the Unmeasured Rotational Data of a Bolted Structure

Mirza

Kyprianou

Rani

et al. 2022

IJAME

View full text Add to dashboard Cite

For frequency-based substructuring (FBS) to be accurate, translational and rotational data must be available at the connection points between substructures. However, obtaining rotational FRFs from experimental modal analyses is very difficult in practice. In this paper, an alternative method for estimating rotational FRFs is proposed using an approximated simplified finite element model (ASFE), modal updating, and mode expansion. The proposed approach was demonstrated on an assembled structure consisting of an irregular plate (test model) and a simple beam (FE model). The SEREP method was used to augment the translational and rotational FRFs to the updated ASFE mode shapes. The expanded rotational FRF of the test model was validated with the measured rotational FRF obtained from a piezoelectric direct rotational accelerometer. The results showed that the proposed approach for FBS correctly predicted the experimental FRF of the assembled structure with 90% accuracy. The FBS method is no longer dependent on the experimental rotational FRF, which is very difficult to measure with the methodology presented here.

show abstract

“…Generally, analytical modelling of bolt-jointed structure using finite element method (FEM) for vibration analysis is usually constructed and optimised by considering deterministic parameters, in which experimental data from a single structure is employed to update a single FE model by minimising the residual between predicted results and experimental data [7]. The deterministic procedure and solution are only allowed to be conducted if the problem is assumed to be no variability exited.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Model Updating of Bolt-Jointed Structure for Structural Dynamics Applications

Syah

Yunus

Rani

et al. 2021

IJAME

View full text Add to dashboard Cite

Structural stiffness exerts from joint connections and contact interfaces are significantly affect the dynamic behaviour of the bolt-jointed structure. Randomness in the joint connections due to the manufacturing variability in the identical bolted joints and uncertainty in contact interfaces due to the assambled and reassambled of the joint structure make sets of the dynamic behaviour of the bolt-jointed structure always inconsistent. On this account, a stochastic analytical model needs to be developed for the bolt-jointed structure to be used for uncertain parameters quantification. Hence, this paper is intended to propose an accurate and efficient stochastic analytical modelling of bolt-jointed structure in predicting the dynamic behaviour of the structure due to the randomness in the joint connections and uncertainty in contact interfaces. The aim of the study was accomplished by investigating four different finite element (FE) models of bolt-jointed structure with different element connectors to represent the bolted joints connections, namely rigid element (RBE), beam element (CBEAM), and 2 types of spring elements namely CELAS and CBUSH. Stochastic modelling was conducted by coupled the appropriate FE models with Latin Hypercube Sampling (LHS) algorithm to provide variability sampling due to the randomness in the bolted joints. The experimental modal analysis was performed by reassembled and disassembled the bolted joints to extract the variability in the dynamic behaviour, and the results were compared with LHS using statistical characteristics. Stochastic model updating then was used to minimise the discrepancies between experimental result and predicted model. The result has shown that the CBUSH is the most appropriate connector to accurately predict the dynamic behaviour of the bolt-jointed structure under variability conditions using the stochastic model updating method.

show abstract

Finite element model updating of jointed structure based on modal and strain frequency response function

Cited by 16 publications

References 26 publications

A two-stage model updating method for the linear parts of structures with local nonlinearities

A two-stage model updating method for the linear parts of structures with local nonlinearities

Using Updated and Expanded Data to Estimate the Unmeasured Rotational Data of a Bolted Structure

Stochastic Model Updating of Bolt-Jointed Structure for Structural Dynamics Applications

Contact Info

Product

Resources

About