Robust crack detection in masonry structures with Transformers

Shamsabadi, Elyas Asadi; Xu, Chang; Dias-da-Costa, D.

doi:10.1016/j.measurement.2022.111590

Cited by 17 publications

(1 citation statement)

References 44 publications

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“…The practical applications of strain-based SHM methods to similar structural settings can be found in the literature [ 22 , 23 , 24 , 25 , 26 ]. Computer vision-based SHM approaches are also frequent in the literature, with interesting applications to masonry structures and more [ 27 , 28 , 29 , 30 , 31 , 32 ]. Although such techniques appear to be promising, the practical applications of these methods are still limited in number compared to traditional monitoring approaches.…”

Section: Introductionmentioning

confidence: 99%

Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations

Meoni

D’Alessandro

Saviano

et al. 2023

Sensors

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A diffuse and continuous monitoring of the in-service structural response of buildings can allow for the early identification of the formation of cracks and collapse mechanisms before the occurrence of severe consequences. In the case of existing masonry constructions, the implementation of tailored Structural Health Monitoring (SHM) systems appears quite significant, given their well-known susceptibility to brittle failures. Recently, a new sensing technology based on smart bricks, i.e., piezoresistive brick-like sensors, was proposed in the literature for the SHM of masonry constructions. Smart bricks can be integrated within masonry to monitor strain and detect cracks. At present, the effectiveness of smart bricks has been proven in different structural settings. This paper contributes to the research by investigating the strain-sensitivity of smart bricks of standard dimensions when inserted in masonry walls subjected to in-plane shear loading. Real-scale masonry walls instrumented with smart bricks and displacement sensors were tested under diagonal compression, and numerical simulations were conducted to interpret the experimental results. At peak condition, numerical models provided comparable strain values to those of smart bricks, i.e., approximately equal to 10−4, with similar trends. Overall, the effectiveness of smart bricks in strain monitoring and crack detection is demonstrated.

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