Vibration-based structural health monitoring using output-only measurements under changing environment

Deraemaeker, Arnaud; Reynders, Edwin; Roeck, Guido De; Kullaa, Jyrki

doi:10.1016/j.ymssp.2007.07.004

Cited by 480 publications

(348 citation statements)

References 28 publications

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“…By following the dynamic behavior of the structure in real time, it is possible to apply statistical methods in order to detect small damages and remove the effects of the environment ( [3], [4], [5] and [6]). This opens the way to the development of automated damage detection systems and could allow going from an "on schedule" maintenance to an "on demand" maintenance, therefore greatly reducing the costs and the risks of failure between two maintenances.…”

Section: Introductionmentioning

confidence: 99%

Damage localization using transmissibility functions: A critical review

Chesné

Deraemaeker

2013

Mechanical Systems and Signal Processing

147

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Section: Introductionmentioning

confidence: 99%

Damage localization using transmissibility functions: A critical review

Chesné

Deraemaeker

2013

Mechanical Systems and Signal Processing

147

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“…The Stochastic SubspaceIdentification (SSI) algorithm (ref. to [12], [13], [1]) was used, but only for temperature differences of steel and concrete temperatures of ǻ7 & 7a. First eigenfrequency.…”

Section: "Normal" Ageingmentioning

confidence: 99%

Some remarks on the influence of temperature-variations, non-linearities, repeatability and ageing on modal-analysis for structural health monitoring of real bridges

Maas

Schommer

Nguyễn

et al. 2015

MATEC Web of Conferences

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Abstract. Structural Health Monitoring (SHM) intends to identify damage by changes of characteristics as for instance the modal parameters. The eigenfrequencies, mode-shapes and damping-values are either directly used as damage indicators or the changes of derived parameters are analysed, such as e.g. flexibilities or updated finite element models. One common way is a continuous monitoring under environmental excitation forces, such as wind or traffic, i.e. the so-called output-only modal analysis. Alternatively, a forced measured external excitation in distinct time-intervals may be used for input-output modal analysis. Both methods are limited by the precision or the repeatability under real-life conditions at site. The paper will summarize several field tests of artificially stepby-step damaged bridges prior to their final demolishment and it will show the changes of eigenfrequencies due to induced artificial damage. Additionally, some results of a monitoring campaign of a healthy bridge in Luxembourg are presented. Reinforced concrete shows non-linear behaviour in the sense that modal parameters depend on the excitation force amplitude, i.e. higher forces lead often to lower eigenfrequencies than smaller forces. Furthermore, the temperature of real bridges is neither constant in space nor in time, while for instance the stiffness of asphalt is strongly dependant on it. Finally, ageing as such can also change a bridge's stiffness and its modal parameters, e.g. because creep and shrinkage of concrete or ageing of elastomeric bearing pads influence their modulus of elasticity. These effects cannot be considered as damage, though they influence the measurement of modal parameters and hinder damage detection.

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“…When looking at the Fourier transform of g(t), or at its power spectral density (PSD), this results in spurious peaks near other natural frequencies than l. This principle has already been studied in [1] and [2] for damage detection, using acceleration measurements. It also has the advantage to distinguish global effects from local effects (see The extension of the previous idea to damage localization is straightforward.…”

Section: Damage Localization Using Local Filtersmentioning

confidence: 99%

Experimental Localization of Small Damages Using Modal Filters

Tondreau¹,

Deraemaeker²

2013

Special Topics in Structural Dynamics, Volume 6

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This work investigates the experimental application of a damage localization technique based on local modal filters on a small clamped-free steel plate equipped with 8 piezoelectric (PVDFs) sensors, and excited with a PZT patch. A small damage responsible of a small shift of the eigenfrequencies (less than 4%) is introduced at different locations by fixing a stiffener. By following the guidelines established in previous numerical studies, the modal filters are applied on three local filters in order to locate damage, and a new feature extraction procedure is proposed. Univariate control charts are used to locate automatically all the damage positions correctly. The very nice results obtained with this first experimental application of modal filters based on strains show the real interest of this very simple method for output-only non-model based automated damage localization of real structures.

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Vibration-based structural health monitoring using output-only measurements under changing environment

Cited by 480 publications

References 28 publications

Damage localization using transmissibility functions: A critical review

Damage localization using transmissibility functions: A critical review

Some remarks on the influence of temperature-variations, non-linearities, repeatability and ageing on modal-analysis for structural health monitoring of real bridges

Experimental Localization of Small Damages Using Modal Filters

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