S2HM in Some European Countries

Limongelli, Maria Pina; Dolce, Mauro; Spina, Daniele; Guéguen, Philippe; Langlais, Mickaël; Wolinieck, David; Karakostas, Christos; Lekidis, V.; Morfidis, Konstantinos; Salonikios, Thomas N.; Rovithis, Emmanouil; Makra, Konstantia; Masciotta, Maria Giovanna

doi:10.1007/978-3-030-13976-6_13

Cited by 12 publications

(2 citation statements)

References 33 publications

(29 reference statements)

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“…BHM aims to improve asset performance by measuring and learning from in-service structural behavior (Ye et al, 2022). Moreover, in earthquake-prone countries, BHM supports emergency management actions (Limongelli et al, 2019) and it can even be used to provide real-time traffic information (Burrello et al, 2020). BHM systems are usually designed based on the structural response observed on an a-priori FE model (Ye et al, 2020).…”

Section: Bhm Ai and Adasmentioning

confidence: 99%

Bridge management through digital twin-based anomaly detection systems: A systematic review

Rios

Plevris

Nogal

2023

Front. Built Environ.

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Bridge infrastructure has great economic, social, and cultural value. Nevertheless, many of the infrastructural assets are in poor conservation condition as has been recently evidenced by the collapse of several bridges worldwide. The objective of this systematic review is to collect and synthesize state-of-the-art knowledge and information about how bridge information modeling, finite element modeling, and bridge health monitoring are combined and used in the creation of digital twins (DT) of bridges, and how these models could generate damage scenarios to be used by anomaly detection algorithms for damage detection on bridges, especially in bridges with cultural heritage value. A total of 76 relevant studies from 2017 up to 2022 have been taken into account in this review. The synthesis results show a consensus toward the future adoption of DT for bridge design, management, and operation among the scientific community and bridge practitioners. The main gaps identified are related to the lack of software interoperability, the required improvement of the performance of anomaly-detection algorithms, and the approach definition to be adopted for the integration of DT at the macro scale. Other potential developments are related to the implementation of Industry 5.0 concepts and ideas within DT frameworks.

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Section: Bhm Ai and Adasmentioning

confidence: 99%

Bridge management through digital twin-based anomaly detection systems: A systematic review

Rios

Plevris

Nogal

2023

Front. Built Environ.

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“…Vibration-based damage detection techniques are an example of global damage detection techniques [12][13][14][15][16][17][18][19][20][21]. Among the many available dynamical parameters, the propagation of elastic waves appears to be the most desirable, especially for damage in the earliest state of its growth.…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Grid Density of Measurement Points on Damage Detection in an Isotropic Plate by the Use of Elastic Waves and Laser Scanning Doppler Vibrometry

Doliński

Krawczuk

Palacz

et al. 2021

Sensors

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Damage detection in structural components, especially in mechanical engineering, is an important element of engineering practice. There are many methods of damage detection, in which changes in various parameters caused by the presence of damage are analysed. Recently, methods based on the analysis of changes in dynamic parameters of structures, that is, frequencies or mode shapes of natural vibrations, as well as changes in propagating elastic waves, have been developed at the highest rate. Diagnostic methods based on the elastic wave propagation phenomenon are becoming more and more popular, therefore it is worth focusing on the improvement of the efficiency of these methods. Hence, a question arises about whether it is possible to shorten the required measurement time without affecting the sensitivity of the diagnostic method used. This paper discusses the results of research carried out by the authors in this regard both numerically and experimentally. The numerical analysis has been carried out by the use of the Time-domain Spectral Finite Element Method (TD-SFEM), whereas the experimental part has been based on the measurement performed by 1-D Laser Doppler Scanning Vibrometery (LDSV).

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NDE1.0: a new database of earthquake data recordings from buildings for engineering applications

Guéguen

Ghimire

Kashima

2019

Bull Earthquake Eng

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S2HM in Some European Countries

Cited by 12 publications

References 33 publications

Bridge management through digital twin-based anomaly detection systems: A systematic review

Bridge management through digital twin-based anomaly detection systems: A systematic review

The Influence of the Grid Density of Measurement Points on Damage Detection in an Isotropic Plate by the Use of Elastic Waves and Laser Scanning Doppler Vibrometry

NDE1.0: a new database of earthquake data recordings from buildings for engineering applications

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