Abstract
Imaging for damage in plate structure by Lamb waves is one of the most effective methods in the field of structural health monitoring. In order to improve the accuracy of damage localization, a novel method is proposed to modify damage exponent probability imaging algorithm based on delay-and-sum imaging by using time reversal Lamb waves. A new probability distribution function is introduced to improve the damage index probability method and is combined with delay-and-sum method for damage localization. Experimental results on aluminum plate show that the hybrid algorithm achieves better accuracy of damage location and imaging quality than the conventional delay-and-sum method.
Highlights
Structural health monitoring (SHM) has been an important research field in material integrity nondestructive testing (NDT)
Ing and Fink [4] compensate the dispersion of Lamb wave automatically by time reversal method
We propose a modified damage index probability imaging algorithm based on delay-and-sum imaging algorithm by synthesizing time-reversed Lamb waves
Summary
Structural health monitoring (SHM) has been an important research field in material integrity nondestructive testing (NDT). Wang et al [5] synthesizes time reversal and synthetic aperture techniques for damage image in structures. Wang D et al [6] proposes a probabilistic imaging algorithm for damage index based on sensor network. Wang et al [5] proposes a delay-and-sum (DAS) algorithm which effectively images the received signals but results in artifacts for multiple defects. Hay et al [7] proposes a reconstruction algorithm for probabilistic inspection of damage (RAPID), which is a probability-based damage imaging method. We propose a modified damage index probability imaging algorithm based on delay-and-sum imaging algorithm by synthesizing time-reversed Lamb waves. A MODIFIED DAMAGE INDEX PROBABILITY IMAGING ALGORITHM BASED ON DELAY-AND-SUM IMAGING FOR SYNTHESIZING TIME-REVERSED LAMB WAVES.
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