
The acoustic emission technique (AET) is one of the powerful non-destructive techniques to diagnose the deformation status of solid objects. Acoustic waves propagate through solids as elastic waves. By examining the elastic wave signals in time- or frequency-domain, or by analyzing the characteristic feature of the waveform, we can diagnose various information on material properties, such as the deformation status, of the test object.
Although the concept of AET has been known for the last five decades, the efficient use of the technique is still in debate. This Webinar discusses various signal processing and analytic techniques such as the Principal Component Analysis and other feature identification techniques used in the neural network method. On the application side, we discuss various case studies, such as in-situ monitoring of ancient artworks. Recent advancement of time-domain spectroscopy in the terahertz frequency range for inspection of architectural art and building structures is another topic of interest.
Date: 10 November 2021
Time: 3:00pm CET | 9:00am EST | 10:00pm CST Asia
Webinar ID: 869 1727 0326
Webinar Secretariat: materials.webinar@mdpi.com
Department of Chemistry and Physics, Southeastern Louisiana University, Hammond, USA;
Sanichiro Yoshida received his undergraduate and graduate degrees from Keio University, Japan, in 1980 and 1986, respectively. In 1981 - 1982, he received basic training on conducting scientific research from Dr. Author V. Phelps at the University of Colorado at Boulder, USA. He has conducted experimental and theoretical research on various topics, such as developments and applications of high-power lasers, precise measurement with optical interferometry, optical and acoustic characterization of material strength, and deformation and fracture of solids. In the last 20 years, his research interest has been mainly in developing a comprehensive theory of deformation and fracture of solids. Currently, he works at Southeastern Louisiana University as a Professor of Physics.