A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data

Georgioudakis, Manolis; Plevris, Vagelis

doi:10.1155/2018/3183067

Cited by 27 publications

(19 citation statements)

References 24 publications

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“…The direct correlation between the modes is also underlined by Table 3 that depicts the Modal Assurance Criterion (MAC) 21 calculated between the mode shapes obtained from the displacement and acceleration analysis. This parameter represents a measure of the degree of correlation between two mode shapes: MAC values close to 0 indicate that two modes present different shapes and values higher than 0.7 indicate good correlation.…”

Section: Resultsmentioning

confidence: 97%

A laser triangulation sensor for vibrational structural analysis and diagnostics

Soave

D’Elia

Mucchi

2020

Measurement and Control

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The industrial progress has reached a level in which it is necessary to understand the behavior of mechanical components and to monitor their conditions without disassembling them. Nowadays, a suitable methodology is based on vibrational analysis usually performed through acceleration signals measured directly on the system to be tested. However, in the last years, the industrial scenario has deeply changed due to the need for time reduction, in particular, for the control operations at the end of the productive line. The genuine methods based on acceleration measurements, for example, through piezoelectric accelerometers, came into conflict with the industrial need as the sensors used for the quality control have to be easily and fastly mounted and unmounted. A valid alternative is represented by the exploitation of laser triangulation sensors that are able to measure the dynamic displacement in a contactless way, strongly reducing the (un)mounting time. The target of this paper is to highlight pros and cons of the contactless displacement analysis through laser triangulation sensors with respect to the contact one through genuine accelerometers by means of a comparison between the results obtained both for experimental modal analysis and vibrational diagnostics of rotating machines.

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Section: Resultsmentioning

confidence: 97%

A laser triangulation sensor for vibrational structural analysis and diagnostics

Soave

D’Elia

Mucchi

2020

Measurement and Control

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“…Moreover, the environmental factors such as temperature variation and random noise effects are both considered. e temperature variation can be simulated according to equation ( 4), and the random noise can be simulated as follows [37]:…”

Section: Damage Identification Methodmentioning

confidence: 99%

Bearing Damage Detection of a Bridge under the Uncertain Conditions Based on the Bayesian Framework and Matrix Perturbation Method

Lei

Zhou

et al. 2021

Shock and Vibration

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The bearing of a bridge, as a critical component, is important in the force transformation of the superstructure; however, due to the service condition and repeated impact load, the bearing is prone to be damaged but difficult to detect the damage; the present research has few studies that focused on the damage detection of the structural bearing. Meanwhile, practical engineering is always surrounded by variational environmental conditions, and sometimes, the element and bearing damage both exist in the structure. Thus, these uncertain conditions all cause inaccurate damage identification results using the vibration-based damage detection method. In order to detect the damage of the structural bearing and improve the precision, firstly, the structural dynamic characteristic equation considering uncertain conditions has been deduced; then, a damage detection framework constructed by the Bayesian theory and perturbation method has been developed in this article; a numerical example of an 8-span concrete continuous beam and a practical example of I-40 steel-concrete composite bridge are utilized to validate the feasibility of the proposed method, and single type and two types of damage cases are studied. The outcomes demonstrate that the damage of structural elements and bearings can be detected with high accuracy. The proposed method is of great applicability and good potential.

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“…The vertical stiffness of the bearings is 1.0 × 10 6 KN/m. The damage of structural elements and bearings are both simulated using reduction of stiffness [ 41 , 42 , 43 , 44 ]. Five damage cases are introduced, which are shown in Table 5 .…”

Section: Damage Detection Examplesmentioning

confidence: 99%

Bearing Damage Detection of a Reinforced Concrete Plate Based on Sensitivity Analysis and Chaotic Moth-Flame-Invasive Weed Optimization

Huang

Lei

2020

Sensors

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This article proposes a novel damage detection method based on the sensitivity analysis and chaotic moth-flame-invasive weed optimization (CMF-IWO), which is utilized to simultaneously identify the damage of structural elements and bearings. First, the sensitivity coefficients of eigenvalues to the damage factors of structural elements and bearings are deduced, the regularization technology is used to solve the problem of equation undetermined, meanwhile, the modal strain energy-based index is utilized to detect the damage locations, and the regularization objective function is constructed to quantify the damage severity. Then, for the subsequent procedure of damage detection, CMF-IWO is proposed based on moth-flame optimization and invasive weed optimization as well as chaos theory, reverse learning, and evolutional strategy. The optimization effectiveness of the hybrid algorithm is verified by five benchmark functions and a damage identification numerical example of a simply supported beam; the results demonstrate it is of great global search ability and higher convergence efficiency. After that, a numerical example of an 8-span continuous beam and an experimental reinforced concrete plate are both adopted to evaluate the proposed damage identification method. The results of the numerical example indicate that the proposed method can locate and quantify the damage of structural elements and bearings with high accuracy. Furthermore, the outcomes of the experimental example show that despite the existence of some errors and uncertain factors, the method still obtains an acceptable result. Generally speaking, the proposed method is proved that it is of good feasibility.

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A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data

Cited by 27 publications

References 24 publications

A laser triangulation sensor for vibrational structural analysis and diagnostics

A laser triangulation sensor for vibrational structural analysis and diagnostics

Bearing Damage Detection of a Bridge under the Uncertain Conditions Based on the Bayesian Framework and Matrix Perturbation Method

Bearing Damage Detection of a Reinforced Concrete Plate Based on Sensitivity Analysis and Chaotic Moth-Flame-Invasive Weed Optimization

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