“Taking Stock and Looking Forward: Digital Image Correlation in Material Property Identification and Drone-Based Wide Area Measurements”
Presented by Dr. Michael A. Sutton, University of South Carolina
Reception to follow in Glass Pavilion
Introduction by KT Ramesh, Alonzo G. Decker Jr. Professor of Science & Engineering & Director of the Hopkins Extreme Materials Institute (HEMI)
ABSTRACT:
Reductions in the time required to develop advanced material systems necessitate the need for sophisticated methods for material property identification. Examples include biological material systems, heterogeneous 3D printed materials and advanced composite materials. Fortunately, advances in full-field measurement methods provide investigators with the opportunity to integrate measurement data with finite element model for material property identification (MPI). To overcome limitations in existing methods based on finite element model updating, a suitable algorithm for direct extraction of heterogenous material properties has been developed. Using concepts developed in fluid mechanics for stabilization of numerical simulations, both 1D and 2D MPI simulation platforms have been developed and demonstrated using experimental measurements and computational predictions. with and without Gaussian noise. In addition to the MPI studies, recent efforts have focused on the development and validation of an Unmanned Aircraft System (UAS, commonly known as drone) with an onboard stereovision system. Performing both laboratory and field measurements, the as-developed UAS has been shown to be capable of acquiring, storing, and transmitting images that were successfully analyzed using VIC-3D software to obtain full-field deformation measurements, providing essential baseline results that confirm its potential as a mobile platform for quantitative civil infrastructure measurements.
BIOGRAPHY:
Michael A. Sutton received his Ph.D. in 1981 from the University of Illinois and joined the University of South Carolina in 1982. He was awarded a Carolina Distinguished Professorship in 1992, and is currently a Research Professor and Director of the State Center for Mechanics, Materials and NDE, while also serving as the Chief Science Officer for Correlated Solutions, Incorporated. He is a Fellow and Past-President of the Society for Experimental Mechanics (SEM), a Fellow of American Society for Mechanical Engineering (ASME) and the founding President of the International Digital Image Correlation Society. In 2020, he was elected to the National Academy of Engineering and in 2021 he was elected to the Slovenian National Academy of Engineering. In 2021, he received the SES Medal. In 2022, he was selected to receive the Timoshenko Medal from ASME. As one of the inventors of the digital image correlation (DIC) methods, he has co-authored the only book on image correlation methods, written eight research book chapters, a chapter for a well-known textbook and given numerous national and international presentations. Prof. Sutton’s current areas of research interest include 3D computer vision for deformation measurements in civil infrastructure (train rails and ties, bridges, roofing systems), measurements and modeling for composite bonding during manufacturing, including measurement of traction-separation laws for prediction of defect formation during manufacturing, and development of efficient methods for direct material property identification using full-field StereoDIC measurements. Prof. Sutton married Elizabeth Ann Severns in 1973. They reside near Columbia, SC on a 12.5-acre nature preserve and farm.