Subspace-Based Damage Detection on Steel Frame Structure Under Changing Excitation

Döhler, Michael; Hille, Falk

doi:10.1007/978-3-319-04570-2_19

Cited by 10 publications

(11 citation statements)

References 13 publications

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“…The relatively small damage of only three loosened bolts can be detected, and the further damages of five and seven loosened bolts are clearly above the threshold. Further details and results of this experiment are given in [10].…”

Section: Artificial Damage Detection Testsmentioning

confidence: 99%

Vibration-Based Monitoring of Civil Structures with Subspace-Based Damage Detection

Döhler¹,

Hille²,

Mevel³

2018

Intelligent Systems, Control and Automation: Science and Engineering

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Automatic vibration-based structural health monitoring has been recognized as a useful alternative or addition to visual inspections or local non-destructive testing performed manually. It is, in particular, suitable for mechanical and aeronautical structures as well as on civil structures, including cultural heritage sites. The main challenge is to provide a robust damage diagnosis from the recorded vibration measurements, for which statistical signal processing methods are required. In this chapter, a damage detection method is presented that compares vibration measurements from the current system to a reference state in a hypothesis test, where datarelated uncertainties are taken into account. The computation of the test statistic on new measurements is straightforward and does not require a separate modal identification. The performance of the method is firstly shown on a steel frame structure in a laboratory experiment. Secondly, the application on real measurements on S101 Bridge is shown during a progressive damage test, where damage was successfully detected for different damage scenarios.

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Section: Artificial Damage Detection Testsmentioning

confidence: 99%

Vibration-Based Monitoring of Civil Structures with Subspace-Based Damage Detection

Döhler¹,

Hille²,

Mevel³

2018

Intelligent Systems, Control and Automation: Science and Engineering

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“…The procedure is e.g. described in [9]. MatrixĤ 0 and the corresponding null spaceŜ are estimates obtained in the reference state of the system, andĤ is an estimate obtained in the current system for the damage detection test.…”

Section: Perturbation Approach For Covariance Computationmentioning

confidence: 99%

Stochastic Subspace-based Damage Detection with Uncertainty in the Reference Null Space

Viefhues¹,

Döhler²,

Hille³

et al. 2017

Structural Health Monitoring 2017

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This paper deals with uncertainty considerations in damage diagnosis using the stochastic subspace-based damage detection technique. With this method, a model is estimated from data in a (healthy) reference state and confronted to measurement data from the possibly damaged state in a hypothesis test. Previously, only the uncertainty related to the measurement data was considered in this test, whereas the uncertainty in the estimation of the reference model has not been considered. We derive a new test framework, which takes into account both the uncertainties in the estimation of the reference model as well as the uncertainties related to the measurement data. Perturbation theory is applied to obtain the relevant covariances. In a numerical study the effect of the new computation is shown, when the reference model is estimated with different accuracies, and the performance of the hypothesis tests is evaluated for small damages. Using the derived covariance scheme increases the probability of detection when the reference model estimate is subject to high uncertainty, leading to a more reliable test.

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“…The stochastic subspace-based damage detection (SSDD) technique detects the damage in a structure by using a ߯ ଶ test on a residual function [4][5][6]. Therefore in this method, there is no need to compute and compare modal parameters of the reference and possibly damaged states of the system.…”

Section: Stochastic Subspace-based Damage Detectionmentioning

confidence: 99%

“…The residual vector n ζ is asymptotically Gaussian with zero mean in reference state; significant changes in its mean value indicates the structure is moved from its reference state. In order to check this change from the residual vector mean, the ߯ ଶ test can be performed as following [4][5][6][7].…”

Section: Models and Parametersmentioning

confidence: 99%

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Sensitivity Evaluation of Subspace-Based Damage Detection Method to Different Types of Damage

Allahdadian

Ventura

Andersen³

et al. 2015

Structural Health Monitoring and Damage Detection, Volume 7

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In this paper we investigate a damage detection technique based on the subspace method by applying it to an existing bridge structure model. A reference state of the structure is evaluated using this technique and subsequently its modal parameters are indirectly compared to the current state of the structure. There are no modal parameters estimated in this method. A subspacebased residual between the reference and possibly damaged states is defined independently from the input excitations employing a ߯ ଶ test and then is compared to a threshold corresponding to the reference state. This technique is applied to a model of the bridge structure located in Reibersdorf, Austria. The structure is excited randomly with white noise at different locations and the output data is generated at typical locations instrumented and measured in a bridge. Various damages are simulated in different elements and the sensitivity of the method to each type and ratio of damages is assessed. This evaluation is performed by comparing the prediction of the damage state using this technique and the simulated damage of the structure. It can be inferred from the results that in general the statistical subspace-based damage detection technique recognizes most of the damage cases, except the ones with insignificant change in the global dynamic behaviour.

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Subspace-Based Damage Detection on Steel Frame Structure Under Changing Excitation

Cited by 10 publications

References 13 publications

Vibration-Based Monitoring of Civil Structures with Subspace-Based Damage Detection

Vibration-Based Monitoring of Civil Structures with Subspace-Based Damage Detection

Stochastic Subspace-based Damage Detection with Uncertainty in the Reference Null Space

Sensitivity Evaluation of Subspace-Based Damage Detection Method to Different Types of Damage

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