scholarly journals Uncertainty quantification of the Modal Assurance Criterion in operational modal analysis

2021 ◽  
Vol 152 ◽  
pp. 107457
Author(s):  
Szymon Greś ◽  
Michael Döhler ◽  
Laurent Mevel
2013 ◽  
Vol 302 ◽  
pp. 541-545
Author(s):  
Li Zhang ◽  
Ya Jun Li ◽  
Yan Miao Ma

The operational modal analysis (OMA) was conducted on a certain industrial sewing machine to identify its modal parameters. Harmonic analysis was carried out through the OP.Synthesis method and false modes were removed according to the Modal Assurance Criterion, finally the natural frequency, damping ratio and modal shape were obtained. The vibration in the low frequencies is mainly nodding and shaking, while that in the high frequencies is local expansion of the head and motor end. The result shows that, the modal parameters of the industrial sewing machine can be well identified by the OMA method. This paper provides a valuable reference for the vibration source identification and structural vibration reduction.


2015 ◽  
Vol 20 ◽  
pp. 02002
Author(s):  
Michael Döhler ◽  
Luciano Marin ◽  
Laurent Mevel ◽  
Dionisio Bernal

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 69-76
Author(s):  
Weiguo Zhang ◽  
Octavian Postolache

Abstract In FE modeling of port crane structures, errors may be caused due to the simplification of complicated components, unclear physical properties, local approximation and inaccurate boundary conditions. So it is very important to update the FE model accuracy according to the experiment model and results. However there are two major problems when solving the model updating of port crane structure, the one is the difficulty of collecting the structure modal parameters with traditional modal experiment method because of the large scale of port crane structure, the other is mismatching problem while updating processing due to most of the model updating method currently constructing the objective function only by frequency. In this paper, an operational modal analysis is adopted to estimate the modal parameters of port crane structure based on the operational condition. A parametric model updating methodology of finite element (FE) model is proposed to solve port crane structure model updating: a series of design parameters of the FE model of port crane structure are selected as the main factors based on the sensitivity analysis, the objective function is built by considering the frequency correlation and the modal assurance criterion (MAC) together, and finally a zero-order/first-order combination algorithm is utilized to get the final accurate FE model of port crane structure. Research results showed that methodology proposed in this paper has satisfied updating accuracy for port crane structure, which verifies that the proposed method is suitable for model updating problem of this kind of structure.


2018 ◽  
Vol 7 (4.27) ◽  
pp. 78
Author(s):  
M. Fadhil Shazmir ◽  
N. Ayuni Safari ◽  
M. Azhan Anuar ◽  
A. A.Mat Isa ◽  
Zamri A.R

Obtaining a good experimental modal data is essential in modal analysis in order to ensure accurate extraction of modal parameters. The parameters are compared with other extraction methods to ascertain its consistency and validity. This paper demonstrates the extraction of modal parameters using various identification algorithms in Operational Modal Analysis (OMA) on a 3D scaled model of a 3-storey aluminium structure. Algorithms such as Frequency Domain Decomposition (FDD), Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI) are applied in this study to obtain modal parameters. The model test structure is fabricated of aluminium and assembled using bolts and nuts. Accelerometers were used to collect the responses and the commercial post processing software was used to obtain the modal parameters. The resulting natural frequencies and mode shapes using FDD method are then compared with other OMA parametric technique such as EFDD and SSI algorithm by comparing the natural frequencies and Modal Assurance Criterion (MAC). Comparison of these techniques will be shown to justify the validity of each technique used and hence confirming the accuracy of the measurement taken.    


2021 ◽  
Author(s):  
David F. Castillo Zuñiga ◽  
Alain Giacobini Souza ◽  
Roberto G. da Silva ◽  
Luiz Carlos Sandoval Góes

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