Ultrasonic Imaging Using Global Matched Coefficients
Abstract »In the field of non-destructive testing of structures, 2D and 3D imaging of internal flaws is a critical task. Defect imaging allows to make informed follow-up decisions based on the morphology of the flaw. This paper will present advances in ultrasonic tomography for the 2D visualization of internal flaws. A set of unique Global Matched Coefficients (GMC) is introduced. This addition to the conventional algorithms discriminates data-sets (of intensities) that contribute to noise apart from data-sets that make contributions to the scatterers in the medium. Therefore, the resulting image has a higher dynamic range and better spatial resolution. The GMCs rely on a training set, or an expected response. To show its robustness, a time-of-flight (TOF) based expected response is investigated as the primary training set. Results will be shown from experimental testing of actual flawed components in the laboratory.
Biography: Simone Sternini was born in Ravenna, Italy, in 1988. He received the Bachelor’s Degree (summa cum laude) and Master’s Degree (summa cum laude) in Civil Engineering from the University of Bologna in 2010 and 2013, respectively.
During 2012-2013 he was an exchange student at the University of California, Irvine. Since 2014 he is a PhD student in the Department of Structural Engineering of the University of California, San Diego and he is part of the NDE & Structural Health Monitoring Laboratory. His research interests are in non-destructive evaluation and structural health monitoring, with particular focus on ultrasonic imaging, thermography and signal processing. Lab Wep Page
Affiliation: University of California, San Diego (UCSD) Structural Engineering 92093 La Jolla USA +1 858-534-2230 ucsd.edu/Nguyen, Thompson VuNguyen, Thompson Vu email@example.com 6194157643
Affiliation: University of California, San Diego (UCSD) 92093 La Jolla USALanza di Scalea, FrancescoLanza di Scalea, Francesco firstname.lastname@example.org 6194157643
Affiliation: University of California, San Diego (UCSD) 92093 La Jolla USA*Contact