2014
DOI: 10.1080/00218464.2013.857606
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Development of a Monitoring System for Crack Growth in Bonded Single-Lap Joints Based on the Strain Field and Visualization by Augmented Reality

Abstract: In this work, a method for monitoring fatigue crack growth in a metal to composite bonded joint based on the strain field is proposed and applied in the framework of a visualization tool based on Augmented Reality (AR). This tool superimposes some virtual objects, which are the data acquired by the sensors and the crack length, directly on top of the specimen under inspection and in real time. By finite element (FE) analyses, a good correlation between the crack tip position and the strain field in a single la… Show more

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Cited by 21 publications
(12 citation statements)
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“…[40][41][42][43][44] Among several possibilities, an interesting approach uses back-face strain measurements and correlates them to the damage evolution. [45,46] This method presented some improvements with the use of fiber optics and distributed strain sensing technology [47][48][49][50][51] and it seems to give valuable information about damage evolution on bonded joints. For this work, the compliance method using a clip extensometer was used to calculate the disbond growth rate of CCP specimens along with a backface strain measurement technique using optical fibers.…”
Section: Considerations About Disbond Measurement Techniquesmentioning
confidence: 99%
“…[40][41][42][43][44] Among several possibilities, an interesting approach uses back-face strain measurements and correlates them to the damage evolution. [45,46] This method presented some improvements with the use of fiber optics and distributed strain sensing technology [47][48][49][50][51] and it seems to give valuable information about damage evolution on bonded joints. For this work, the compliance method using a clip extensometer was used to calculate the disbond growth rate of CCP specimens along with a backface strain measurement technique using optical fibers.…”
Section: Considerations About Disbond Measurement Techniquesmentioning
confidence: 99%
“…In [24,25], an AR framework for inspection and visualization during fatigue tests was successfully adopted. By sharing the same advantages deriving from the use of AR as the HCI, this paper proposes an efficient scheme for simulating the deformation of structural components in real-time, thus enabling the inclusion of the structural behavior in the virtual prototyping experience, for the ultimate purpose of design validation.…”
Section: Related Workmentioning
confidence: 99%
“…Clothier et al [63] Assist on-site operation Underkoffler et al [64] Malkawi et al [65,66] Intuitive analysis environment Carmo et al [33,34] Heuveline et al [35,36] Golparvar-Fard et al [67,68] Graf et al [69] Intuitive design environment Broll et al [37] Fukuda et al [38,39] Mechanical engineering & Manufacturing Weidlich et al [70] Intuitive analysis environment NUS AR group, [27,41,42] Paulus, et al [43] Uva et al [44,45,47,48] Issartel et al [71] Bernasconi et al [40] Valentini et al [49,50] Naets et al [72] Moreland et al [73] Regenbrecht et al [74] Intuitive design environment Niebling et al [46] Weidenhausen et al [75] Electromagnetism Buchau et al [76] Training and education Ibáñez et al [51] Silva et al [77] Intuitive analysis environment Mannuß et al [52] Matsutomo et al [53,54] Table 6 summarizes the features and limitations of most of the AR-based engineering analysis and simulation systems. Selected studies use different visualization methods, such as image overlay, OpenGL programming, and special software kit, to visualize volumetric data and numerical simulation results.…”
Section: Current Ar Applications In Engineering Analysis and Simulationmentioning
confidence: 99%
“…Outdoor AR systems could serve as a tool to assist in important decisions without constraining the user's whereabouts to a specially equipped area. Some of the selected studies are based on a client-server network model for visualization of simulation data [33][34][35][36][38][39][40]45,47,48,55,60,69,75]. However, due to limited device capabilities, mobile AR platforms still require further development for engineering analysis and simulation.…”
Section: Trackingmentioning
confidence: 99%
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