An Integrated Approach for Structural Health Monitoring and Damage Detection of Bridges: An Experimental Assessment

Fiandaca, Dario; Matteo, Alberto Di; Patella, Bernardo; Moukri, Nadia; Inguanta, Rosalinda; Llort, Daniel; Mulone, Antonio; Mulone, Angelo Fabio; Alsamahi, Soughah; Pirrotta, Antonina

doi:10.3390/app122413018

Cited by 7 publications

(5 citation statements)

References 33 publications

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“…For instance, it has been shown that the first few frequencies of a bridge, and in some cases even mode shapes, can be detected from smartphone and vibration sensors mounted in moving vehicles [77][78][79][80]. In this regard, in [80,81] vehicle vertical accelerations have been employed to identify the main frequencies of the Interchange 12 bridge in Dubai (UAE). In this case, the experimental set-up comprised both a single piezoelectric accelerometer (PCB-models 393B04) and an iPhone 11.…”

Section: Advances In Science and Technology To Meet Challengesmentioning

confidence: 99%

Roadmap on measurement technologies for next generation structural health monitoring systems

Laflamme

Ubertini

Matteo

et al. 2023

Meas. Sci. Technol.

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Structural Health Monitoring (SHM) is the automation of the condition assessment process of an engineered system. When applied to geometrically large components or structures, such as those found in civil and aerospace infrastructure and systems, a critical challenge is in designing the sensing solution that could yield actionable information. This is a difficult task to conduct cost-effectively, because of the large surfaces under consideration and the localized nature of typical defects and damages. There has been significant research efforts in empowering conventional measurement technologies for applications to SHM in order to improve performance of the condition assessment process. Yet, the field implementation of these SHM solutions is still in its infancy, attributable to various economic and technical challenges. The objective of this Roadmap publication is to discuss modern measurement technologies that were developed for SHM purposes, along with their associated challenges and opportunities, and to provide a path to research and development efforts that could yield impactful field applications.

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Section: Advances In Science and Technology To Meet Challengesmentioning

confidence: 99%

Roadmap on measurement technologies for next generation structural health monitoring systems

Laflamme

Ubertini

Matteo

et al. 2023

Meas. Sci. Technol.

Self Cite

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“…However, the usage of OMA methods is not limited to the identification of structural systems, but it also includes other purposes such as performing a Structural Health Monitoring (SHM), the calibration of finite elements models and the detection of structural damages. OMA methods turned out to be extremely useful for real cases like historical buildings [6][7][8], bridges [8][9][10][11] and other type of structures.…”

Section: Introductionmentioning

confidence: 99%

“…Once that the modal shapes have been estimated, the matrix containing all the analytical signals of the correlation functions, calculated as reported in equation ( 6), have been decomposed as in equation (10). The components on the diagonal of…”

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confidence: 99%

An innovative only-output method to identify a structural system

Russotto,

Denoël,

Pirrotta

2024

J. Phys.: Conf. Ser.

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Structural Health Monitoring (SHM) is nowadays common in many branches of engineering since it allows to have a continuous or periodic report of the structural conditions and therefore to promptly intervene if there are incipient damages. The first step to perform a SHM is the identification of the dynamic parameters, i.e. natural frequencies, damping ratios and modal shapes, and it is a crucial step since a modification of the structural parameters can be a direct consequence of structural damages. Among the structural identification methods, Operational Modal Analysis (OMA) methods have received increasing attention from the researchers since they do not require the knowledge of the structural excitation that is due to ambient vibrations and that is usually modeled as a white noise. This aspect makes this kind of methods cheaper and simpler than the classical Experimental Modal Analysis (EMA) methods. In this paper an innovative OMA method is proposed. It is a semi - automated method that allows to identify natural frequencies, damping ratios and modal shapes of a structural system and that can be used also from users that have not knowledge in stochastic dynamics and signal analysis. First of all, the modal shapes are estimated through the use of signal filtering techniques applied on the stochastic properties of the output process and then natural frequencies and damping ratios can be estimated from the mono - component analytical signals obtained by performing a decomposition of the analytical signals matrix. The proposed method has been used to perform the dynamic identification of a real historic building situated in Palermo, i.e. Chiaramonte palace, and the results obtained have been compared with those obtained by using other OMA methods.

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“…Moreover, since the structural input is due to the ambient vibrations (usually modelled as a white noise process [3][4][5]), OMA methods allow to identify the structural system when it is under operative conditions. This kind of methods have been used to identify structural systems [6][7][8], to perform structural health monitoring (SHM) [9][10][11][12][13], to calibrate finite elements models [14] and to detect structural damages [15,16]. OMA methods has been applied on historical buildings [7,17,18], tall buildings [19,20], bridges [21][22][23], masonry structures [24], dams [25], offshore platforms [26,27] and other structural systems [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

A new OMA method to perform structural dynamic identification: numerical and experimental investigation

Pirrotta

Russotto

2023

Acta Mech

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Operational modal analysis (OMA) methods are nowadays common in civil, mechanical and aerospace engineering to identify and monitor structural systems without any knowledge on the structural excitation provided that the latter is due to ambient vibrations. For this reason, OMA methods are embedded with stochastic concepts and then it is difficult for users that have no-knowledge in signal analysis and stochastic dynamics. In this paper an innovative method useful for structural health monitoring (SHM) is proposed. It is based on the signal filtering and on the Hilbert transform of the correlation function matrix. Specifically, the modal shapes are estimated from the correlation functions matrix of the filtered output process and then the frequencies and the damping ratios are estimated from the analytical signals of the mono-component correlation functions: a complex signals in which the real part represents the correlation function and the imaginary part is its Hilbert transform. This method is very simple to use since requires only few interactions with the users and thus it can be used also from users that are not experts in the aforementioned areas. In order to prove the reliability of the proposed method, numerical simulations and experimental tests are reported also considering comparisons with the most popular OMA methods.

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An Integrated Approach for Structural Health Monitoring and Damage Detection of Bridges: An Experimental Assessment

Cited by 7 publications

References 33 publications

Roadmap on measurement technologies for next generation structural health monitoring systems

Roadmap on measurement technologies for next generation structural health monitoring systems

An innovative only-output method to identify a structural system

A new OMA method to perform structural dynamic identification: numerical and experimental investigation

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