Structural Health Monitoring Using Wavelet Transforms
A new method of damage detection using wavelet transforms and curvature mode shapes is proposed in this paper. A damage in the structure results in changing its dynamic characteristics such as natural frequencies, damping, and mode shapes. A number of researchers have investigated structural health monitoring techniques for identifying, locating, and quantifying the damage using the changes in the dynamic response of a damaged structure. Curvature mode shape and wavelet maps are two such methods that have already been used to locate damages. These methods have some limitations in determining the exact location of the damages. We have developed a technique by combining these two methods for enhancing the sensitivity and accuracy in damage location. The mode shapes are double differentiated using the central difference approximation to obtain the curvature mode shape. Then a wavelet map is constructed for the curvature mode shape. It is shown that this method can be used to determine the location of the damages. The proposed method is applied to detect damage in an experimental lattice structure and a cantilever beam with multiple damages. The mode shapes are obtained analytically using finite element analysis and also experimentally using laser vibrometer. The experimental results obtained are satisfactory.
V. K. Amaravadi et al., "Structural Health Monitoring Using Wavelet Transforms," SPIE Proceedings, SPIE -- The International Society for Optical Engineering, Jan 2001.
The definitive version is available at https://doi.org/10.1117/12.436537
Smart Structures and Materials 2001
Electrical and Computer Engineering
Mechanical and Aerospace Engineering
Keywords and Phrases
Structural Health Monitoring; Wavelet Transforms; Wavelets; Damage Detection; Finite Element Methods; Lasers
Article - Conference proceedings
© 2001 SPIE -- The International Society for Optical Engineering, All rights reserved.