Standard deviation as a suitable criterion for localizing damages in Nano- composite structures
Year: 2024
Type: article
Abstract: Wavelet transform is a proper method for detecting damages in signals such as vibration mode shapes. This study introduces the standard deviation as a suitable criterion for selecting and analyzing wavelet function in damage detection of nano-laminated composite structures. In this way, a Fe2O3-carbon epoxy fiber laminated composite structure is studied. Experimental modal analysis is conducted to obtain the natural frequencies and their corresponding mode shapes. Findings show that the standard deviation can effectively find the best analyzing wavelet function for structural damage detection when the damages are led to local and subtle changes in vibration mode shapes.
DOI: 10.58286/30386
Authors: Alireza Gholipour, Morteza Saadatmorad, Mohammad Hassan Shahavi
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404549337
