Development of a Distortion-Induced Fatigue Crack Characterization Methodology Using Digital Image Correlation

Dellenbaugh, Landon; Kong, Xiangxiong; Al‐Salih, Hayder; Collins, William; Bennett, Caroline; Li, Jian; Sutley, Elaina J.

doi:10.1061/(asce)be.1943-5592.0001598

Cited by 24 publications

(26 citation statements)

References 23 publications

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“…Many applications of crack detection were developed by DIC. For example, Landon Dellenbaugh et al [22] proposed a method for the characterization of the distortion-induced fatigue crack by DIC. Navid Hasheminejad et al [23] used the correlation of digital images to estimate the strain field on the surface of the asphalt sample.…”

Section: Introductionmentioning

confidence: 99%

A method of crack detection based on digital image correlation for simulated cracked tooth

Zhang

Guo

et al. 2021

BMC Oral Health

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Background Early clinical cracked tooth can be a perplexing disorder to diagnose and manage. One of the key problems for the diagnosis of the cracked tooth is the detection of the location of the surface crack. Methods This paper proposes an image-based method for the detection of the micro-crack in the simulated cracked tooth. A homemade three-axis motion platform mounted with a telecentric lens was built as an image acquisition system to observe the surface of the simulated cracked tooth, which was under compression with a magnitude of the masticatory force. By using digital image correlation (DIC), the deformation map for the crown surface of the cracked tooth was calculated. Through image analysis, the micro-crack was quantitatively visualized and characterized. Results The skeleton of the crack path was successfully extracted from the image of the principal strain field, which was further verified by the image from micro-CT. Based on crack kinematics, the crack opening displacement was quantitatively calculated to be 2–10 µm under the normal mastication stress, which was in good agreement with the value reported in the literature. Conclusions The crack on the surface of the simulated cracked tooth could be detected based on the proposed DIC-based method. The proposed method may provide a new solution for the rapid clinical diagnosis of cracked teeth and the calculated crack information would be helpful for the subsequent clinical treatment of cracked teeth.

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Section: Introductionmentioning

confidence: 99%

A method of crack detection based on digital image correlation for simulated cracked tooth

Zhang

Guo

et al. 2021

BMC Oral Health

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“…This level of loading was identified as the threshold of applicability in the development of this approach, as the variability in convergence did not allow for a characterization of crack lengths. 29 Although graphically presented in relative displacement and convergence plots, data from LC1 have been excluded from further consideration and is not used to characterize crack lengths. It should be noted that for most load cases, the relative displacements values in all the three directions approached zero well before the known crack tip location, resulting in an underprediction of crack length at 90% and 95% convergence values.…”

Section: Crack Characterization Resultsmentioning

confidence: 99%

“…A vertical upward cyclic loading was applied to the far end of the crossframe by a servo-controlled hydraulic actuator, representing differential girder displacement and causing the girder to be loaded out-of-plane, producing DIF cracking in the web-gap region. Additional details regarding the DIF test frame can be found in Alemdar et al, 32 Al-Salih et al, 30,33,34 and Dellenbaugh et al 29…”

Section: Girder Test Setupmentioning

confidence: 99%

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

Al‐Salih

Juno

Collins

et al. 2021

Fatigue Fract Eng Mat Struct

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Distortion-induced fatigue cracking is a concern for many aging steel bridges in the United States. Human visual inspections to characterize fatigue cracks have many drawbacks including inconsistencies in identification, significant time and monetary costs, and safety risks posed to the lives of both inspectors and the traveling public due to lane closures. Digital image correlation (DIC) is a vision-based technology which has shown promise for identifying and characterizing fatigue cracks. Three-dimensional DIC measurements can capture full-field displacements and strains, allowing for detection and characterization of both in-plane and distortion-induced fatigue cracks. This paper describes an experimental study in which a half-scale steel girder to crossframe subassembly was subjected to distortion-induced fatigue loading to produce multiple geometrically complex cracks. A DIC-based crack characterization methodology was applied to quantify the cracks, which was successful at characterizing cracks propagating in the girder web but struggled to characterize horizontal cracks. Additional work is needed to improve the accuracy of the DIC-based crack characterization methodology to use as an automated bridge inspection tool.

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“…In future work, we look forward to experimental verification of the joint imaging framework, in particular as applied to simultaneous spatial imaging of coupled sensing skins and DIC patterns. Such regimes could be used, for example, in detecting distortion induced fatigue cracks in steel bridge girders [46] or characterizing tensile hardening in high performance cement-based materials [47]. To this end, as EIT is a penetrative modality, the method could be extended for 3D characterization of large concrete members allowing for simultaneous surface and internal damage monitoring.…”

Section: Discussion and Outlookmentioning

confidence: 99%

Fusing electrical and elasticity imaging

Hauptmann

Smyl

2021

Phil. Trans. R. Soc. A.

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Electrical and elasticity imaging are promising modalities for a suite of different applications, including medical tomography, non-destructive testing and structural health monitoring. These emerging modalities are capable of providing remote, non-invasive and low-cost opportunities. Unfortunately, both modalities are severely ill-posed nonlinear inverse problems, susceptive to noise and modelling errors. Nevertheless, the ability to incorporate complimentary datasets obtained simultaneously offers mutually beneficial information. By fusing electrical and elastic modalities as a joint problem, we are afforded the possibility to stabilize the inversion process via the utilization of auxiliary information from both modalities as well as joint structural operators. In this study, we will discuss a possible approach to combine electrical and elasticity imaging in a joint reconstruction problem giving rise to novel multi-modality applications for use in both medical and structural engineering. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 1’.

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Development of a Distortion-Induced Fatigue Crack Characterization Methodology Using Digital Image Correlation

Cited by 24 publications

References 23 publications

A method of crack detection based on digital image correlation for simulated cracked tooth

A method of crack detection based on digital image correlation for simulated cracked tooth

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

Fusing electrical and elasticity imaging

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