2020
DOI: 10.1016/j.ijfatigue.2020.105661
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Thermoelasticity-based modal damage identification

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Cited by 16 publications
(12 citation statements)
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“…In this research, a Y-shaped specimen, shown in Figure 2, was used [4], [12]. In particular, this geometry was chosen due to its structural dynamic properties.…”
Section: Setupmentioning
confidence: 99%
See 1 more Smart Citation
“…In this research, a Y-shaped specimen, shown in Figure 2, was used [4], [12]. In particular, this geometry was chosen due to its structural dynamic properties.…”
Section: Setupmentioning
confidence: 99%
“…In the last years, many image-based analysis have been introduced for the displacement measurements [10], [11] and consequently for the structural dynamics due to several operating advantages, e.g. high spatial density, full-field information, no sensors to be placed on the structure [12]. Javh et al [13] proved the hybrid modal-parameter identification of full-field mode shapes using a DSLR camera for responses far above the camera's frame rate, employing the Lucas-Kanade Optical Flow algorithm [14].…”
Section: Introductionmentioning
confidence: 99%
“…Thermoelasticity is a full-field stress-distribution measurement technique based on the thermoelastic effect [11], [12]. According to this effect, in case of adiabatic process and linear, homogeneous, and isotropic material behaviour, a dynamically excited structure presents surface temperaturechanges proportional to the changes in the stress and strain tensor traces, caused by the external load [19], [49]. Moreover, if the excitation is harmonic, the thermal fluctuation is expected to be at the same frequency of the input load, and its normalized amplitude variation is given by:…”
Section: Thermoelasticity-based Stress-concentration Factor Estimationmentioning
confidence: 99%
“…Thus, thermal acquisitions are necessarily post processed in order to obtain readable results [51]. Although general frequency-domain approaches are well established nowadays [19], [52], in this research a classical lock-in analysis was performed in order to single out the thermoelastic signal at a particular frequency (i.e., the load frequency) from the noisy signal acquired through the thermal camera [53], [54]. Being 𝜔 𝐿 the input load frequency, the digital lock-in amplifier gives the temperature fluctuation at 𝜔 𝐿 as magnitude 𝛥𝑇 𝜔 𝐿 and phase 𝛩 𝜔 𝐿 [55]:…”
Section: Thermoelasticity-based Stress-concentration Factor Estimationmentioning
confidence: 99%
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