Experimental and simulated case Studies of Lamb Wave Interactions with Structural flaws and Image Reconstruction for Structural Diagnostics
Dushyantha N.D1, Mrityunjaya V. Latte2, Glenston Hadlee Miranda3, Sayanu Pamidighantam.4
1Dushyantha N.D, Electronics and Communication Engineering Department, S B M Jain College of Engineering, Bangalore, India,
2Dr. Mrityunjaya V. Latte, Electronics and Communication Engineering Department , J.S.S Academy for Technical Education, Bangalore, India
3Glenston Hadlee Miranda, Electronics and Communication Engineering Department, P.E.S Institute of Technology . Bangalore, India.
4Dr. Sayanu Pamidighantam, Telecommunication Engineering Department, P.E.S Institute of Technology . Bangalore, India.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 370-374 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0782062312 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main contribution pursued in this investigation is to propose a generic optimal methodology to improve the accuracy of positioning of the flaw in a structure by reconstructing spatial image. The proposed algorithm is implemented on experimentally obtained data on Aluminum plate and simulated data on a structural steel plate. In both the cases, the data is post processed and analyzed by implementing the location identification algorithm to reconstruct the image. the proposed work uses two methods to analyze and compare baseline signals with recorded signals. Firstly before subtraction phase of recorded signal is phase corrected. In second method time windowed correlation is used to extract the signals only due to damage. Using the signal received from first method and second method the images are constructed separately and using image fusion technique new image is constructed. This algorithm improves the accuracy of positioning, estimating the shape and size of damage. The mean deviation from the actual location of the flaw to the predicted location is (1.136 mm, 0.979 mm).
Keywords: Lamb waves, Image fusion, NDT, Time window correlation, Phase correction.