BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.4.2//EN TZID:America/New_York X-WR-TIMEZONE:America/New_York BEGIN:VEVENT UID:0-6537@eng.ufl.edu DTSTART;TZID=America/New_York:20240425T124500 DTEND;TZID=America/New_York:20240425T134500 DTSTAMP:20251201T210416Z URL:https://www.eng.ufl.edu/news-events/events/mae-seminar-recent-developm ents-direct-heterogeneous-material-property-identification-and-pointwise-c ompari/ SUMMARY:MAE Seminar - Recent Developments: Direct Heterogeneous Material Pr operty Identification and Pointwise Compari DESCRIPTION:MAE Seminar - Recent Developments: Direct Heterogeneous Materia l Property Identification and Pointwise Comparison of FEA and StereoDIC Me asurements\n\nThursday\, April 25\, 2024\, at 12:50pm\, Location: MAE-A 30 3\n\nMichael A. Sutton\, Research Professor\, University of South Carolina \, Director\, State Center for Mechanics\, Materials and NDE\, Chief Scien ce Officer\, Correlated Solutions\, Incorporated\n\nAbstract\nReductions i n the time required to develop advanced material systems necessitate the n eed for sophisticated methods for material property identification. Exampl es include biological material systems\, heterogeneous 3D printed material s and advanced composite materials. Fortunately\, advances in full-field m easurement methods provide investigators with the opportunity to integrate measurement data with finite element model for material property identifi cation (MPI). To overcome limitations in existing methods based on finite element model updating\, a suitable algorithm for direct extraction of het erogenous material properties has been developed. Using concepts developed in fluid mechanics for stabilization of numerical simulations\, both 1D a nd 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 under going compressive loading are shown to demonstrate the methodology. In a r elated study\, a field comparison procedure is developed to compare finite element analysis (FEA) predictions and stereovision digital image correla tion (StereoDIC) strain measurements at the same spatial positions through out a region of interest. The procedure includes (a) conversion of the fin ite element data into a triangular mesh\, (b) selection of a common coordi nate system\, (c) determination of the rigid body transformation to place both measurements and FEA data in the same coordinate system and (d) inter polation 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 alum inum test specimen undergoing tensile loading\n\nBiography\nMichael A. Sut ton received his Ph.D. in 1981 from the Department of Theoretical and Appl ied Mechanics at the University of Illinois under the direction of Prof. C harles E. Taylor (NAE\, 1979). In 1982\, Dr. Sutton joined the faculty in the Department of Mechanical Engineering at the University of South Caroli na and was awarded a Carolina Distinguished Professorship in 1992. He is c urrently a Research Professor and Director of the State Center for Mechani cs\, Materials and NDE\, while also serving as the Chief Science Officer f or Correlated Solutions\, Incorporated\, the only US-based R&\;D and pr ovider 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 f ounding President of the International Digital Image Correlation Society\, has received numerous national and international honors for his contribut ions in the fields of experimental mechanics\, computer vision in solid me chanics and fracture mechanics. In 2020\, he was elected to the National A cademy 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 res earch book chapters\, a chapter for a well-known textbook and given numero us national and international presentations. Prof. Sutton’s current area s of research interest include 3D computer vision for deformation measurem ents in civil infrastructure (train rails and ties\, bridges\, roofing sys tems)\, measurements and modeling for composite bonding during manufacturi ng\, including measurement of traction-separation laws for prediction of d efect formation during manufacturing\, and development of efficient method s for direct material property identification using full-field StereoDIC m easurements. 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\n\nMAE Faculty Host: Dr. Patri ck Musgrave and Dr. Peter Ifju CATEGORIES:Seminars LOCATION:MAE-A Room 303\, 939 Sweetwater Drive\, Gainesville\, FL\, 32611\, United States GEO:29.643814;-82.34865 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=939 Sweetwater Drive\, Gain esville\, FL\, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=MAE-A Room 303:geo:29.643814,-82.34865 END:VEVENT BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR