Exploitation of the ambient noise for the structural health monitoring of bars and tubes
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Image processing is a very vast field that includes both IT and applied mathematics. It is a discipline that studies the improvement and transformations of digital images hence permitting the improvement of the quality of these images and the extraction of information. The comparison of digital images is a paramount issue that has been discussed in several researches because of its various applications especially in the field of control and surveillance such as the Structural Health Monitoring using acoustic waves. In this study we will present an experimental study conducted on a bar and a tube in order to show the constant possibility of performing a structural health monitoring in a medium by studying the ambient noise present therein. Finally, a comparison algorithm described in a previous work (Hourany et al. in Leban Sci J 17(2):177–192, 2016) will be validated in order to show the influence of the presence of a defect in the structure on the cross-correlation.
KeywordsImage processing Local minima Structural health monitoring Green’s function Frequency–time images Correlation Similarity rate
The authors thank the Lebanese University for the financial support of this work. The authors thank the National Council for Scientific Research (Lebanese CNRS) for the financing of the thesis of Mr. Karl Hourany.
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