International Digital Imaging Correlation Society : proceedings of the first Annual Conference, 2016

This collection represents a single volume of technical papers presented at the Annual International DIC Society Conference and SEM Fall Conference organized by the Society for Experimental Mechanics and Sandia National Laboratories and held in Philadelphia, PA, November 7-10, 2016. The volume prese...

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Bibliographic Details
Corporate Authors International Digital Imaging Correlation Society. Annual Conference, SEM Fall Conference (jointly held conference.)
Other Authors Sutton, Michael Albert, 1950- (Editor), Reu, Phillip L. (Editor)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesConference proceedings of the Society for Experimental Mechanics series.
Subjects
Online AccessPlný text

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Summary:This collection represents a single volume of technical papers presented at the Annual International DIC Society Conference and SEM Fall Conference organized by the Society for Experimental Mechanics and Sandia National Laboratories and held in Philadelphia, PA, November 7-10, 2016. The volume presents early findings from experimental, standards development and various other investigations concerning digital image correlation - an important area within Experimental Mechanics. The area of Digital Image Correlation has been an integral track within the SEM Annual Conference spearheaded by Professor Michael Sutton from the University of South Carolina. In 2016, the SEM and Sandia joined their collaborative strengths to launch a standing fall meeting focusing specifically on developments in the area of Digital Image Correlation. The contributed papers within this volume span numerous technical aspects of DIC including standards development for the industry.
Physical Description:1 online resource (x, 283 pages) : illustrations (some color)
Bibliography:Includes bibliographical references at the end of each chapters.
ISBN:9783319514390
9783319514383
ISSN:2191-5644
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty