Measurement Selection for Vibration-Based Structural Damage Identification

Xia, Yong; Hao, Hong

doi:10.1006/jsvi.2000.2960

Cited by 45 publications

(22 citation statements)

References 13 publications

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“…The current paper extends the study of Xia and Hao (2000) and proposes a new sensor placement indicator for damage detection. The new indicator is the ratio of two parameters.…”

Section: Introductionmentioning

confidence: 72%

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Sensor Placement for Structural Damage Detection considering Measurement Uncertainties

Zhou

Xia

Hao

2013

Advances in Structural Engineering

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Structural damage detection methods using vibration measurements have been developed for decades. Measurement selections may affect damage detection results, because inevitable uncertainties are involved in vibration testing. A new sensor placement index is defined as the ratio of two parameters, namely, the contribution of measurement points to a Fisher information matrix, and the damage sensitivity to the measurement noise. A large value of the contribution vector represents that the corresponding measurement points are sensitive to the damage and measurements at these points are more prominent for structural damage identification, whereas a small noise sensitivity value indicates measurement points that are less influenced by noises. Consequently, the points with large index values are chosen as the measurement subset. The effectiveness of the proposed technique is verified using a laboratory-tested steel frame. The damage detection using different measurement selection schemes shows that the present technique can identify multiple damages of the structure more accurately. The effect of the measurement number is also investigated.

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“…The current paper extends the study of Xia and Hao (2000) and proposes a new sensor placement indicator for damage detection. The new indicator is the ratio of two parameters.…”

Section: Introductionmentioning

confidence: 72%

“…In their proposed method, the sensor locations are prioritized according to their contribution to a Fisher information matrix. Xia and Hao (2000) proposed a new concept of damage measurability that integrates damage sensitivity and noise sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Sensor Placement for Structural Damage Detection considering Measurement Uncertainties

Zhou

Xia

Hao

2013

Advances in Structural Engineering

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“…Since, experimental evidences on the experimental data variation claim errors within 10% for mode shapes (Jones and Turcotte 2002), 1/10th of the mode shapes error for the modal frequencies (Modak et al 2002), while the FRF error is believed to be smaller than the mode shape error due to the controlled excitation force and noise reduction techniques used (Dossing 1988), a Gaussian noise (mean value 8% much larger than that used in many literature analogue investigations, i.e. 2% for (Modak et al 2002), 1% for (Xia and Hao 2000)) was added to the numerical modal properties (mode shapes and modal frequencies) and to the FRF to estimate its effects on the damage detection procedure under investigation.…”

Section: Damage Identification On Aluminum Plate-like Structuresmentioning

confidence: 97%

Damage assessment on plate-like structures using a global-local optimization approach

Meo

Zumpano

2007

Optim Eng

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A new method for finite element model updating using simulated data is presented. A global-local optimization (GLO) approach was adopted to adjust the uncertain properties of the FE model by minimizing iteratively the differences between the measured dynamic modal parameters and the corresponding analytical predictions. In contrast with most of the existing updating techniques, which minimize modal force errors, objective functions based on Coordinate Modal Assurance Criterion (COMAC) and Frequency Response Assurance Criterion (FRAC) were employed. The GLO procedure was employed to minimize the norm of these vectors by updating the physical model variables (thickness, Young modulus, etc.). The proposed model updating procedure was applied to damage localization and quantification of structures, whose damage characteristics can be represented by a reduction of the element bending and axial stiffness. Results showed that a significant reduction in terms of computer run-time and improved damage assessment can be achieved. The procedure is illustrated on a plate-like structure by measuring dynamic properties before and after structural changes for four different damage cases.

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“…To include the uncertainty e ect into consideration in the analysis, the uncertainties in the FE model and the measured modal data are assumed as normally distributed independent random variables with zero means and speciÿc covariances. Thus the eigenvalues, mode shapes and sti ness parameters are [20] …”

Section: Theoretical Basismentioning

confidence: 99%

Damage identification of structures with uncertain frequency and mode shape data

Xia

Hao

Brownjohn

et al. 2002

Earthq Engng Struct Dyn

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142

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SUMMARYA statistical method with combined uncertain frequency and mode shape data for structural damage identiÿcation is proposed. By comparing the measured vibration data before damage or analytical ÿnite element model of the intact structure with those measured after damage, the ÿnite element model is updated so that its vibration characteristic changes are equal to the changes in the measured data as closely as possible. The e ects of uncertainties in both the measured vibration data and ÿnite element model are considered as random variables in model updating. The statistical variations of the updated ÿnite element model are derived with perturbation method and Monte Carlo technique. The probabilities of damage existence in the structural members are then deÿned. The proposed method is applied to a laboratory tested steel cantilever beam and frame structure. The results show that all the damages are identiÿed correctly with high probabilities of damage existence. Discussions are also made on the applicability of the method when no measurement data of intact structure are available.

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Measurement Selection for Vibration-Based Structural Damage Identification

Cited by 45 publications

References 13 publications

Sensor Placement for Structural Damage Detection considering Measurement Uncertainties

Sensor Placement for Structural Damage Detection considering Measurement Uncertainties

Damage assessment on plate-like structures using a global-local optimization approach

Damage identification of structures with uncertain frequency and mode shape data

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