Digital image correlation for large deformation measurement

碩士 === 國立中興大學 === 機械工程學系所 === 102 === The present study has developed a plane displacement measurement system based on a digital image correlation method. For these purposes,the strain of large deformation was defined as 40%. A series of analyses was performed on the images before and after deformat...

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Bibliographic Details
Main Authors: Shun-Long Ceng, 曾舜隆
Other Authors: Ji-Chun Lee
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/13662027928882515729
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Summary:碩士 === 國立中興大學 === 機械工程學系所 === 102 === The present study has developed a plane displacement measurement system based on a digital image correlation method. For these purposes,the strain of large deformation was defined as 40%. A series of analyses was performed on the images before and after deformation, including correlational analysis, connected component labeling, and shape interpolation function analysis. Furthermore, optimizations were made employing displacement equations and brightness of transformation models, in conjunction with Newton’s method. Iterative methods were used to find the underwent displacement of an object after deformation,finally determining the surface displacement field and the strain field. However, the use of Newton’s method iteration methods requires inputting an initial value. These values must first be derived by marking each connected area with connected component labeling, then constructing a grid with this data and corresponding the before-after images based on this grid. The methods of this study were to print prepared images onto the object being tested, then to record digital images of the object before and after deformation. Analysis was conducted with software based on digital image correlation theory and shape function, to determine the displacement field of the object’s surface,concluding with a discussion of the displacement field derived from analysis, and possible improvements to be made for future investigations.