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Title
Damage Detection in Laminated Composite Beams Reinforced with Nano-particles Using Covariance of Vibration Mode Shape and Wavelet Transform
Type Article
Keywords
Damage detection · Reinforced composite · Laminated composites with nano-particles · Covariance of mode shape · Structural health monitoring · Wavelet transform
Abstract
Introduction Damage detection based on mode shapes is popular since obtaining experimental mode shapes of the damaged structure is possible. Usually, damaged mode shapes can be fed into wavelet transform to localize damage; however, sometimes, it is impossible to localize damage using damaged mode shapes fed into wavelet transform. Materials and methods This paper suggests a robust damage detection technique by feeding scaled covariance of mode shapes into the one-dimensional continuous wavelet transform to detect damage in the reinforced laminate composite beams. Conclusion Numerical and experimental investigations are conducted for the reinforced laminate composite beams with nano-particles. Findings show that the proposed damage detection technique can detect all numerical and experimental damage scenarios with high accuracy.
Researchers Morteza Saadatmorad (First researcher) , Mohammad Hassan Shahavi (Second researcher) , Alireza Gholipour (Third researcher)