A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

Gharehbaghi, Vahidreza; Farsangi, Ehsan Noroozinejad; Noori, Mohammad; Yang, T.Y.; Li, Shaofan; Nguyễn, Andy; Mariotti, C.; Gardoni, Paolo; Mirjalili, Seyedali

doi:10.1007/s11831-021-09665-9

Cited by 42 publications

(29 citation statements)

References 199 publications

(191 reference statements)

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“…(4) Finally, it should be underlined that the results obtained in this study may find a direct application in structural health monitoring [ 44 ]. This problem appears important in engineering practice, taking into account a huge number of steel halls existing and still erected all around the world without any stochastic reliability or durability predictions [ 45 , 46 ].…”

Section: Discussionmentioning

confidence: 99%

Structural Safety of the Steel Hall under Dynamic Excitation Using the Relative Probabilistic Entropy Concept

Bredow

Kamiński

2022

Materials

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This work aimed to analyze the reliability of a steel hall that was recently erected in central Poland subjected to dynamic wind excitation using the stochastic finite element method. Reliability analysis was completed using the relative entropy concept delivered by Bhattacharyya and contrasted with the first-order reliability method recommended by the engineering design codes. Bhattacharyya probabilistic relative entropy was additionally rescaled in this study to fit the demands and recommended admissibility intervals given in Eurocode 0. The finite element method study was carried out thanks to a discrete model created in the system ABAQUS 2019, while all further statistical and probabilistic computations were programmed and completed in the symbolic environment of MAPLE 2019. Contrary to most engineering analyses in steel structure areas, this study included the important warping effect while designing the hall ridges and the purlins. Dynamic structural responses were determined via the Hilber-Hughes-Taylor algorithm and their series were numerically obtained for a series of input uncertainty parameters representing several mechanical and environmental quantities. The generalized 10th order iterative stochastic perturbation technique was contrasted in this context with statistical estimators from the Monte Carlo simulations and numerical integration resulting from the semi-analytical approach. The key research finding of this study was an extremely good coincidence between the FORM indices and the rescaled relative probabilistic entropies for the given stochastic excitations, which additionally did not depend on a choice of one of the three proposed numerical approaches.

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Section: Discussionmentioning

confidence: 99%

Structural Safety of the Steel Hall under Dynamic Excitation Using the Relative Probabilistic Entropy Concept

Bredow

Kamiński

2022

Materials

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“…Deformation monitoring of the bridge's structures has been disseminated in wide range multi discipline literatures [1][2][3]. A state of the art of spatially driven information in localizing deformations of manmade bridge structures is categorized into two approaches namely: contact-based and non-contact-based methods [4].…”

Section: Introductionmentioning

confidence: 99%

Bridge Structural Deformation Monitoring Using Digital Camera

Tjahjadi

Parsamardhani

Suhari

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Burgeoning off-the-selves Digital Single Lens Reflector (DSLR) cameras have been gaining attentions as a fast and affordable tool for conducting deformation monitoring of man-made engineering structures. When a sub millimetre of accuracy is sought, deliberate concerns of their usage must be considered since lingering systematic errors in the imaging process plaque such non metric cameras. This paper discusses a close range photogrammetric method to conduct structure deformation monitoring of the bridge using the digital DSLR camera. The bridge is located in Malang Municipality, East Java province, Indonesia. There are more than 100 images of the bridge’s concrete pillars were photographed using convergent photogrammetric network at distance variations between 5m to 30m long on each epoch. Then, the coordinates of around 550 captured retro-reflective markers attached on the pillars facade are calculated using self-calibrating bundle adjustment method. The coordinate differences of the markers from the two consecutive epochs are detected with a magnitude between 0.03 mm to 6 mm with a sub-millimetre precision measurement level. However, by using global congruency testing and a localization of deformation testing, it is confirmed that the bridge pillar’s structures are remain stable between those epochs.

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“…Most have been developed based on numerical models or small-scale structures in laboratories, and their SHM performance has not been validated on real-world structures in practice [3]. In addition, many capture linear frequency response metrics, which do not pinpoint damage and are not sensitive to significant damage [13,16,17].…”

Section: Introductionmentioning

confidence: 99%

“…These alternative, advanced methods help assess the health and integrity of structures in real-time or near real-time, which is crucial for post-earthquake assessments [7,12]. In particular, SHM tries to assess the presence, location, and severity of structural damage and, at higher levels, classify damage and predict the reaming service life of the monitored structure [12,13]. This information, if accurate, would enable rational decisions on building re-occupancy and accurate estimates for business downtime to repair.…”

Section: Introductionmentioning

confidence: 99%

Lessons from Earthquake-affected Structures: The Necessity of Structural Health Monitoring and Instrumentation

Rabiepour

Chase

Zhou

2022

Preprint

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This paper studies two highly earthquake-affected structures in New Zealand, where visual inspection outcomes missed damage, resulting in incorrect and delayed decisions, which cost lives and wasted resources. Specifically: 1) the un-instrumented Canterbury Television (CTV) building; and 2) the instrumented Bank of New Zealand (BNZ) building. This study uses these known outcomes to highlight the importance of reliable structural health monitoring (SHM) methods and SHM instrumentation in earthquake-prone areas, where each damaging earthquake and subsequent further-damaging aftershocks demand continuous monitoring to continuously assess damage and risk to safety. Elastic spectral analyses are carried out for the CTV building using the earthquake acceleration records at a station near the CTV building. For the BNZ building, inter-story drift ratio (IDR) analyses are conducted based on the building's instrumentation data. These simple, low-cost analyses indicate the damage and deterioration in both structures, and thus the importance of sensor networks and SHM instrumentation so quantitative analysis can rapidly examine subjective visual inspection results or better target and augment these inspections. Finally, this study introduces the hysteresis loop analysis (HLA) in the context of the instrumented BNZ building, showing the ability to provide necessary monitoring to assess damage and risk. This paper does not aim to criticize post-earthquake inspections or inspectors. However, it does aim to draw attention to the fact visual inspections are inherently unreliable, and current post-earthquake evaluation policies should be upgraded considering advances in instrumentation technologies and SHM methods. The paper ends discussing how the combined actions of all stakeholders are essential for successful, effective post-earthquake evaluations.

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A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

Cited by 42 publications

References 199 publications

Structural Safety of the Steel Hall under Dynamic Excitation Using the Relative Probabilistic Entropy Concept

Structural Safety of the Steel Hall under Dynamic Excitation Using the Relative Probabilistic Entropy Concept

Bridge Structural Deformation Monitoring Using Digital Camera

Lessons from Earthquake-affected Structures: The Necessity of Structural Health Monitoring and Instrumentation

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