Detection of Structural Faults by Modal Data, Lower Bounds and Shadow Sites

Contursi, T.; Mangialardi, L.; Messina, Arcangelo

doi:10.1006/jsvi.1997.1303

Cited by 4 publications

(3 citation statements)

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“…For such systems, it was assumed that system's global stiffness matrix d K in damaged state could be written in the form given by eq. ( 5) (no changes occur in global mass matrix; see [11]): , each varying from 0, in case of full damage in j-th element, to 1) denote the homogeneous stiffness reduction factors. A further Matlab TM code was designed to obtain dynamic response time histories relative to both undamaged and damaged models (supposing a stiffness reduction by 20% occurring in element no.…”

Section: Applicability To Damage Detection: Sensitivity Analysis Loca...mentioning

confidence: 99%

Analysis of Operational Modal Identification Techniques Performances and their Applicability for Damage Detection

Rizzo

Giannoccaro

Messina

2014

KEM

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Operational modal identification techniques, also known asAmbientmodal orOutput Onlymodal, have been in recent years object of growing interest within several applications typical of civil, mechanical and aerospace engineering. In this paper, two of them, known as EFDD and SSI, are fully implemented by means of in-house codes and applied on a finite element beam model dynamic response time data, in order to evaluate their accuracy, focusing on the lowest system’s natural frequencies. Assessments of the techniques’ robustness to a disturbance in the random excitation, reliability when implementing on a small number of measurement channels and in localization and quantification of a given damage in multiple sites are also performed and presented.

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Section: Applicability To Damage Detection: Sensitivity Analysis Loca...mentioning

confidence: 99%

Analysis of Operational Modal Identification Techniques Performances and their Applicability for Damage Detection

Rizzo

Giannoccaro

Messina

2014

KEM

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“…It is possible to find in scientific literature many NDTs based on these parameters' evaluation [1][2][3][4][5], with many articles reviewing pros and cons of each [6].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Activities on Damage Detection Using Magnetostrictive Actuators and Statistical Analysis

Monaco

Franco

Lecce

2000

Journal of Intelligent Material Systems and Structures

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The purpose of this work is to present the formulation of a new experimental procedure to employ in problems of damage analysis of structural elements. The proposed method is based on the acquisition and comparison of Frequency Response Functions (FRFs) of the monitored structure before and after damage occurred. Structural damages modify the dynamic behaviour of the structure and consequently its FRFs making possible calculation of a representative “Damage Index.” The experimental activity was carried on using two prototypes of magnetostrictive actuators developed within the European Commission funded project named MADAVIC (Magnetostrictive Actuators for Damage Analysis and VIbration Control). Three kinds of damages have been simulated on two beam-like structures: little mass disturbances, partial cuts of the beam sections and constraint yielding. Two expressions of damage indices were calculated and analysed. The main target of the work was to assess the reliability of the damage identification by using a “repetitiveness index.” This index is related to the lowest measurable damage extension and the statistical t-test, in order to verify if each calculated index was really representative of a structural damage, rather than of unforeseen differences between the FRFs. A simple Finite Element Model (F.E.M.) of the second test-article has also been developed for numerically simulating the experimental tests and comparing the corresponding results.

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“…If a local level is desired, then the part of the frame of the structure will be identified. 6. Confirm the extent of damage (e.g., any decrease in the bearing force).…”

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confidence: 97%

Diagnostic system for structural damage and degradataion: damage identification based on a mode parameter and wave propagation

2003

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A "smart" structure has many functions, including monitoring, repairing, shape formation, and learning. Recently, interest in applying a monitoring system to a structure for quality assurance and for evaluating seismic risk has been strong. Monitoring system is useful to diagnose the structural condition and detect structural damage and degradation. In this study, we developed a monitoring system to assess the structural integrity of a structure. This system includes a diagnostic system for structural damage and degradation based on mode parameters and wave propagation. The damage detection strategy is to first detect the damage sites globally by using an improved MDLAC (Multiple Damage Location Assurance Criterion) method, and then to evaluate the damage sites locally by using wave propagation. As a result, it is pointed out that there is a possibility to confirm the diagnostic system by utilizing these two methods.

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Detection of Structural Faults by Modal Data, Lower Bounds and Shadow Sites

Cited by 4 publications

References 0 publications

Analysis of Operational Modal Identification Techniques Performances and their Applicability for Damage Detection

Analysis of Operational Modal Identification Techniques Performances and their Applicability for Damage Detection

Experimental and Numerical Activities on Damage Detection Using Magnetostrictive Actuators and Statistical Analysis

Diagnostic system for structural damage and degradataion: damage identification based on a mode parameter and wave propagation

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