Frequency Response Function Based Updating of a Laser Spot Welded Structure using Synthesised Frequency Response Function

Zin, M. S. Mohd; Rani, M. N. Abdul; Yunus, M. A.; Mirza, W. I. I. Wan Iskandar; Ayub, Muhammad Azmi; Omar, Roaimah

doi:10.1088/1757-899x/506/1/012012

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…On the first FE model, the bolts were modelled using CBEAM element connectors and the other one, CBUSH element connectors were used for the bolts. The selection of the most appropriate FE model was made by evaluating the discrepancies, in terms of total errors, recorded from the comparison of the natural frequencies and mode shapes obtained from EMA and the FE models [36,37]. The discrepancies recorded from the comparison were reduced using FE model updating by systematically adjusting the preselected updating parameters to match the initial FE model to the test model [15,16].…”

Section: Resultsmentioning

confidence: 99%

Representation of bolted joints in a structure using finite element modelling and model updating

Omar¹,

Rani²,

Yunus³

2020

JMES

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Efficient and accurate finite element (FE) modelling of bolted joints is essential for increasing confidence in the investigation of structural vibrations. However, modelling of bolted joints for the investigation is often found to be very challenging. This paper proposes an appropriate FE representation of bolted joints for the prediction of the dynamic behaviour of a bolted joint structure. Two different FE models of the bolted joint structure with two different FE element connectors, which are CBEAM and CBUSH, representing the bolted joints are developed. Modal updating is used to correlate the two FE models with the experimental model. The dynamic behaviour of the two FE models is compared with experimental modal analysis to evaluate and determine the most appropriate FE model of the bolted joint structure. The comparison reveals that the CBUSH element connectors based FE model has a greater capability in representing the bolted joints with 86 percent accuracy and greater efficiency in updating the model parameters. The proposed modelling technique will be useful in the modelling of a complex structure with a large number of bolted joints.

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Section: Resultsmentioning

confidence: 99%

Representation of bolted joints in a structure using finite element modelling and model updating

Omar¹,

Rani²,

Yunus³

2020

JMES

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“…In addition, the fitness functions were taken in the form of (Mohd Zin et al, 2018) First f itness f unction : min…”

Section: Psomentioning

confidence: 99%

“…In addition, the fitness functions were taken in the form of (Mohd Zin et al, 2018)where FRF=−ωnormal2H(ω) is inertance. Also, the superscripts FE and EXP denote the finite element and experimental values, respectively.…”

Section: Model Updating Proceduresmentioning

confidence: 99%

A 3D finite element model updating of spinal lumber segment applying experimental modal data and particle swarm optimization algorithm

Forouzesh

Ahmadian

Navidbakhsh

2022

Journal of Vibration and Control

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The dynamic loadings can be more harmful than static ones for the human lumbar spine health. Consequently, the prediction of the spine behavior under dynamic and vibration loads is vital and can be achieved by creating a precise finite element model in which the dynamic mechanical properties of the components need to be estimated. For this purpose, noninvasive experimental modal analysis can be applied to evaluate the dynamic mechanical properties of the spine in the numerical simulation by supplying the structural dynamic characteristics (natural frequencies, mode shapes, and damping ratio) of the system. Since the most adequate model for the human lumbar segment is a sheep model, in this paper, a 3D finite element model of a fresh spinal lumber segment of a sheep is generated based on the poroelasticity theory via Abaqus and is updated utilizing particle swarm optimization (PSO) algorithm and experimental modal analysis. In this regard, the frequency response function (FRF) of the specimen is obtained by performing the experimental modal test and the modal parameters are derived by using the rational fraction polynomial method. Afterward, the sensitivity analysis is carried out to determine the appropriate design variables. Finally, the PSO algorithm using experimental data is employed to update the design variables, including the elastic material properties and the structural damping factors of the specimen components, and the stiffness and damping coefficient of the suspension system. According to the results, the error percentage between the numerical FRF and the experimental one decreases remarkably after model updating indicating the high efficiency of the methods used.

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“…In modelupdating, the primary issue concerns the construction of the objective function, which aims to quantify the discrepancies between the actual structure and the corresponding FE model. Frequency response functions (FRFs) [9][10][11][12] and modal parameters, such as natural frequencies and mode shapes [13][14][15], are commonly used to form the objective function. FRF data of the actual structure obtained from vibration tests can be directly applied in model-updating.…”

Section: Introductionmentioning

confidence: 99%

Structural Dynamic Model Updating with Automatic Mode Identification Using Particle Swarm Optimization

Fang

Sun

et al. 2022

Applied Sciences

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Dynamic model-updating methods are a useful tool for obtaining high-precision finite element (FE) models. However, when using such methods to update a model, there will be problems with incompleteness and mode switching. To overcome these problems, this paper proposes a structural dynamic model-updating with an automatic mode-identification method. In this method, a mode-identification index is established based on image-similarity recognition to identify the consistency between FE and experimental mode shapes, and particle swarm optimization is introduced to update the model. In addition, to reduce the computational time, Latin hypercube sampling is employed to perform probability statistics of the switching range of the concerned mode orders, and the orders of mode identification are reduced according to the statistics results. In this paper, the proposed method was validated by model-updating of a square plate. The natural frequencies and mode shapes of the plate were obtained by experimental modal analysis and used as the updating objectives of the FE model. In addition, the boundary condition of the plate was simplified by a series of springs, which were used as updating parameters along with material properties and dimensions. Finally, the FE model of the plate was updated by the present method, and the results indicate that the objective function error of the updated FE model was successfully reduced from 14.31% to 1.05%, which proves that the proposed model-updating method is effective and feasible.

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Frequency Response Function Based Updating of a Laser Spot Welded Structure using Synthesised Frequency Response Function

Cited by 3 publications

References 11 publications

Representation of bolted joints in a structure using finite element modelling and model updating

Representation of bolted joints in a structure using finite element modelling and model updating

A 3D finite element model updating of spinal lumber segment applying experimental modal data and particle swarm optimization algorithm

Structural Dynamic Model Updating with Automatic Mode Identification Using Particle Swarm Optimization

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