MAE Seminar – Recent Developments: Direct Heterogeneous Material Property Identification and Pointwise Compari


12:45 pm-1:45 pm
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MAE-A Room 303
939 Sweetwater Drive
Gainesville, FL 32611


MAE Seminar – Recent Developments: Direct Heterogeneous Material Property Identification and Pointwise Comparison of FEA and StereoDIC Measurements

Thursday, April 25, 2024, at 12:50pm, Location: MAE-A 303

Michael A. Sutton, Research Professor, University of South Carolina, Director, State Center for Mechanics, Materials and NDE, Chief Science Officer, Correlated Solutions, Incorporated

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. Material properties for a nominally 1D bone specimen undergoing compressive loading are shown to demonstrate the methodology. In a related study, a field comparison procedure is developed to compare finite element analysis (FEA) predictions and stereovision digital image correlation (StereoDIC) strain measurements at the same spatial positions throughout a region of interest. The procedure includes (a) conversion of the finite element data into a triangular mesh, (b) selection of a common coordinate system, (c) determination of the rigid body transformation to place both measurements and FEA data in the same coordinate system and (d) interpolation of the FEA nodal information to the same spatial locations as the StereoDIC measurements using barycentric coordinates. Results obtained, with and without this procedure, are shown for a double-edge notched aluminum test specimen undergoing tensile loading

Michael A. Sutton received his Ph.D. in 1981 from the Department of Theoretical and Applied Mechanics at the University of Illinois under the direction of Prof. Charles E. Taylor (NAE, 1979). In 1982, Dr. Sutton joined the faculty in the Department of Mechanical Engineering at the University of South Carolina and was awarded a Carolina Distinguished Professorship in 1992. He 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, the only US-based R&D and provider of digital image correlation measurement systems. Prof. Sutton, 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, has received numerous national and international honors for his contributions in the fields of experimental mechanics, computer vision in solid mechanics and fracture mechanics. 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 prestigious Timoshenko Medal from ASME. Prof. Sutton has published over two hundred and sixty archival articles. 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 have two daughters (pediatric dentist and high school science teacher) and six grandchildren (4 girls, 2 boys). They continue to reside near Columbia, SC on a 12.5-acre nature preserve and farm

MAE Faculty Host: Dr. Patrick Musgrave and Dr. Peter Ifju


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Dr. Patrick Musgrave and Dr. Peter Ifju