شماره ركورد كنفرانس :
4561
عنوان مقاله :
Ultrasonic Lamb Wave Tomography for Defect Detection in Plate Structures
Author/Authors :
S. M Mirsadeghi Center of Advanced Systems and Technologies (CAST) - School of Mechanical Engineering - College of Engineering - University of Tehran, Tehran , A Yousefi-Koma Center of Advanced Systems and Technologies (CAST) - School of Mechanical Engineering - College of Engineering - University of Tehran, Tehran , S. S Mohtasebi Center of Advanced Systems and Technologies (CAST) - School of Mechanical Engineering - College of Engineering - University of Tehran, Tehran , M. H Soorgee Center of Advanced Systems and Technologies (CAST) - School of Mechanical Engineering - College of Engineering - University of Tehran, Tehran
كليدواژه :
Lamb Wave , Ultrasonic Guided Waves , Tomography , Structural Health Monitoring
عنوان كنفرانس :
The Bi-Annual International Conference on Experimental Solid Mechanics and Dynamics ۲۰۱۴
چكيده لاتين :
A desired system for structural health monitoring needs to have reliability in defect detection as well as quick performance in data management and analysis. Compared with other conventional methods, ultrasonic lamb wave have several remarkable benefits that outweigh the complexity of the signal processing aspects as a tool for interpretation of recorded signals. Lamb Wave Tomography seems to be a potent approach for evaluating structural integrity which is based on variations of extracted features from wave propagation properties in material caused by structural defects such as crack, corrosion and voids. In this paper, a numerical model for wave propagation properties in an aluminum plate is developed using Abaqus, and verified by experimental procedure. Investigating the fidelity of the numerical model with experimental results and comparing different tomographic reconstruction algorithm from literature, the RAPID algorithm was used to visualize the ultrasonic lamb wave data received from circular sensor array in software simulation, and the performance of the method in detection of damage with various sizes is evaluated.
