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DC Field | Value | Language |
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dc.contributor.author | Talai, Stephen M. | - |
dc.contributor.author | Desai, Dawood A. | - |
dc.contributor.author | Heyns, Stephan P. | - |
dc.date.accessioned | 2022-01-17T12:26:56Z | - |
dc.date.available | 2022-01-17T12:26:56Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://doi.org/10.1016/j.aej.2019.03.008 | - |
dc.identifier.uri | http://ir.mu.ac.ke:8080/jspui/handle/123456789/5690 | - |
dc.description.abstract | This paper concerns the development of methodology for use of Infrared thermography (IRT) for online prediction of mechanical structural vibration behaviour; given that it has extensively been applied in non-destructive technique for evaluation of surface cracks through the observation of thermal imaging of the vibration-induced crack heat generation. To achieve this, AISI 304 steel cantilever beam coupled with a slipping friction rod was subjected to a forced excitations with an infrared camera capturing the thermal profile at the friction interface. The analysis of thermal image data recorded (radiometric) for the frictional temperature time domain waveform using a MATLAB FFT algorithm in conjunction to IR camera frequency resolution of 120 Hz and the use of the heat conduction equation with the help of a finite difference approach successfully identified the structural vibration characteristics in terms of frequency and displacement, the maximum relative errors being 0.09% and 5.85% for frequencies and displacements, respectively. These findings are particularly useful in overcoming many limitations inherent in some of the current vibration measuring techniques in harsh and remote environments. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Infrared thermography | en_US |
dc.subject | Structural health monitoring | en_US |
dc.title | Infrared thermography applied to the prediction of structural vibration behaviour | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Engineering |
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