Application of a digital image correlation bridge inspection methodology on geometrically complex bifurcated distortion‐induced fatigue cracking

Al‐Salih, Hayder; Juno, Mary; Collins, William; Bennett, Caroline; Li, Jian

doi:10.1111/ffe.13453

Cited by 15 publications

(9 citation statements)

References 31 publications

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“…The achievement of their parameter limit values leads to the local destruction of the metal structure under stresses that do not exceed the elastic limits, i.e. in such places, the destruction is preceded by local microplastic deformation of the metal, as shown in [11].…”

Section: Literature Reviewmentioning

confidence: 99%

A methodical approach to determining the damage characteristics of cyclically loaded samples of metal structures

Pysarenko¹,

Voinalovich²,

Maylo³

et al. 2022

Tehnìka ta energetika

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The article deals with an actual task of developing engineering methods for predicting the durability of modern long-life machines should be based on the methodology for determining the degree of fatigue damage to materials and structural elements. In the development of such a methodology, the work proposes to use modern optical and computer tools that allow analyzing the parameters of the deformed surface of metal structure samples and, on this basis, to estimate the residual resource of the metal structure. The purpose of the article was to substantiate a methodical approach for determining the limit state of damage using photometric analysis of the topography of the micro-deformed surface of cyclically loaded metal structure samples. To analyze the fatigue damage characteristics of metals and alloys, an experimental information system was developed based on the method of coherent optical scanning of the deformed surface of metal structure samples with a resolution of 0.2 μm/px. The obtained specklograms of the photodiode matrix, corresponding to the two-dimensional image of the micro-deformed surface of the sample in shades of gray 0-255, were computer analyzed. This made it possible to construct diagrams of the kinetics of the process of accumulation of the amplitude of the deformation microrelief of the surface of the laboratory samples for the studied steels St 45 and St 20. It is shown that the kinetics of speckle brightness obtained in the work by the correlation method, which corresponds to the evolution of the accumulation of fatigue damage on the surface of the studied structural steel samples, is characterized by a nonlinear function, which is consistent with the results of deformation microrelief studies obtained by other methods. The proposed methodology for analyzing the discrete distribution of specklogram brightness can be used to predict the onset of the limit state of a metal structure before failure due to fatigue

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Section: Literature Reviewmentioning

confidence: 99%

A methodical approach to determining the damage characteristics of cyclically loaded samples of metal structures

Pysarenko¹,

Voinalovich²,

Maylo³

et al. 2022

Tehnìka ta energetika

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“…Many vision-based algorithms have been suggested, which include edge detector [31], thresholding [32], segmentation [33], and filter-based algorithms [34]. These techniques have been utilized in assessing damage in wood samples [35][36][37], bridge and concrete surfaces [38][39][40], pavement [34,41,42], and steel [43][44][45]. Other applications of DIC include biomechanical applications [46], biological tissues and biomaterials [47][48][49], aerospace [50,51], computer vision [52], medical appli-cations [53], industrial and automotive applications [54].…”

Section: Digital Image Correlationmentioning

confidence: 99%

“…ment [34,41,42], and steel [43][44][45]. Other applications of DIC include biomechanical applications [46], biological tissues and biomaterials [47][48][49], aerospace [50,51], computer vision [52], medical applications [53], industrial and automotive applications [54].…”

Section: Digital Image Correlationmentioning

confidence: 99%

Application of Digital Image Correlation in Structural Health Monitoring of Bridge Infrastructures: A Review

et al. 2021

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A vision-based approach has been employed in Structural Health Monitoring (SHM) of bridge infrastructure. The approach has many advantages: non-contact, non-destructive, long-distance, high precision, immunity from electromagnetic interference, and multiple-target monitoring. This review aims to summarise the vision- and Digital Image Correlation (DIC)-based SHM methods for bridge infrastructure because of their strategic significance and security concerns. Four different bridge types were studied: concrete, suspension, masonry, and steel bridge. DIC applications in SHM have recently garnered attention in aiding to assess the bridges’ structural response mechanisms under loading. Different non-destructive diagnostics methods for SHM in civil infrastructure have been used; however, vision-based techniques like DIC were only developed over the last two decades, intending to facilitate damage detection in bridge systems with prompt and accurate data for efficient and sustainable operation of the bridge structure throughout its service life. Research works reviewed in this article demonstrated the DIC capability to detect damage such as cracks, spalling, and structural parameters such as deformation, strains, vibration, deflection, and rotation. In addition, the reviewed works indicated that the DIC as an efficient and reliable technique could provide sustainable monitoring solutions for different bridge infrastructures.

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“…An experimental study, supported by digital image correlation (DIC), in which a half-scale steel girder to cross frame subassembly was subjected to distortion-induced fatigue loading to produce multiple geometrically complex cracks, is presented. 7 On another scale, since the process of short fatigue crack growth plays a significant role for the lifetime of materials in the high and very high cycle regimes, the high impact of crack-microstructure interactions on fatigue crack growth is measured using micro specimens. 8 The Guest Editors of the present Virtual Special Issue are grateful to the authors and the reviewers of the published papers; their support and dedication in carefully writing and revising the scientific content of the selected works was the key of the success for this VSI.…”

mentioning

confidence: 99%

“…Distortion‐induced fatigue cracking is a concern for many aging steel bridges. An experimental study, supported by digital image correlation (DIC), in which a half‐scale steel girder to cross frame subassembly was subjected to distortion‐induced fatigue loading to produce multiple geometrically complex cracks, is presented 7 . On another scale, since the process of short fatigue crack growth plays a significant role for the lifetime of materials in the high and very high cycle regimes, the high impact of crack–microstructure interactions on fatigue crack growth is measured using micro specimens 8 …”

mentioning

confidence: 99%

Virtual special issue: Advances in structural integrity research

Moreira

Berto

2022

Fatigue Fract Eng Mat Struct

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Application of a digital image correlation bridge inspection methodology on geometrically complex bifurcated distortion‐induced fatigue cracking

Cited by 15 publications

References 31 publications

A methodical approach to determining the damage characteristics of cyclically loaded samples of metal structures

A methodical approach to determining the damage characteristics of cyclically loaded samples of metal structures

Application of Digital Image Correlation in Structural Health Monitoring of Bridge Infrastructures: A Review

Virtual special issue: Advances in structural integrity research

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