G. L. Cloud Scholarship
University Distinguished Professor Gary L. Cloud is a recognized leader in the field of experimental mechanics. Professor Cloud’s research interests involve bringing together optical and electronic techniques to solve interesting problems in geomechanics, biomechanics, composites, fracture mechanics, fastening, and nondestructive evaluation. His book, Optical Methods of Engineering Analysis was published by Cambridge University Press in 1995 and is now revised and in its second printing (1998).
Reference contributions include chapters in the Handbook of Experimental Mechanics (2008) and the Marks Mechanical Engineering Handbook (2007). He has delivered many oral presentations to technical and lay groups. More than 50 research contracts have been completed under his direction. Dr. Cloud has served as a consultant to approximately 60 firms and agencies in product design, measurements, and liability. He holds 2 patents and has another patent application in process with specialties in the area of Optical Metrology. He was elected as SEM Fellow in 2001, and has made a significant contribution to SEM through his Back to Basics – Optical Methods series published in Experimental Techniques.
The purpose of this award is to celebrate professor Cloud’s many years of contributions to the field of experimental mechanics by recognizing a unique individual and his/her aspirations to pursue a graduate degree in experimental mechanics and to create new knowledge that leads to sustainable improvements in the human condition.
Carter Barkley is currently a M.S. student in Mechanical Engineering at the South Dakota School of Mines and Technology (SDSM&T) where he also received his B.S. in 2019. Carter has been involved with the Composites and Polymers Engineering (CAPE) lab at SDSM&T where he assisted with the manufacturing of continuous fiber reinforced thermoplastic prepreg production machines. In addition to projects at the CAPE lab, Carter’s masters research investigates the response of thermoplastic matrix composite joints to various loading conditions. The research project also aims to compare experimental techniques such as digital image correlation (DIC) with numerical models.
|2018 - Kimberley Mac Donald||2016 - Xueju Wang||2014 - Matt Hudspeth|