Digital Image Correlation: Advanced Methods and Applications

David Chambers (Editor)

Series: Materials Science and Technologies
BISAC: TEC021000

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$82.00

Volume 10

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Volume 2

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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During surface deformations measurements in objects, materials or structural element samples, which move in the space, recorded speckle images are transformed by these displacements. In Chapter One, an algorithm for speckle image relative geometrical transformations parameters determination is proposed on the basis of Fourier-Mellin transform. Usage of this algorithm will allow increasing reliability of deformation fields’ determination for constructional materials after appropriate correction of speckle-images, which are used during calculations. In Chapter Two, methods are presented to determine forming limit curves (FLCs) for sheets of advanced high strength steels (AHSS) using digital image correlation (DIC). FLC is a valuable tool for failure prediction in forming simulation at design stage and die try-out in press shops. Chapter Three presents a novel algorithm for recovering the trajectories of mechanism components from high speed video by means of multidimensional simplex optimization and conformal templates. The focus of this chapter is on a simplex-based approach to digital image correlation (DIC) with arbitrarily shaped subsets that provides a number of advantages over the traditional gradient based approach with strictly square subsets. Finally, Chapter Four aims to develop a different technique that allows the obtention of the stress-strain evolution of materials while they are under axial loads. (Imprint: Nova)

Preface

Chapter 1. Improving the Reliability of 2D DIC by Using Fourier-Mellin Transform
Oleksandr P. Maksymenko and Oleksandr M. Sakharuk (Department of Optical-digital Diagnostic Systems, Karpenko Physico-Mechanical Institute of the NASU, Lviv, Ukraine)

Chapter 2. Incipient Necking Criteria for the Determination of Forming Limit Curves Using Digital Image Correlation
Gang Huang and Sriram Sadagopan (ArcelorMittal Global R&D, East Chicago, USA)

Chapter 3. A Robust Optical Method for Tracking Mechanism Components
A. A. Cruz-Cabrera, M. Herzberg, M. Palaviccini, D. Z. Turner, and S. Walkington (Measurement Science & Engineering, Sandia National Laboratories, Albuquerque, New Mexico, USA, and others)

Chapter 4. Digital Image Correlation Applied to Analyze the Stress-Strain Evolution of Structural Materials under Compression
Alonso Salda˜na Heredia, Pedro A. M´arquez Aguilar and Arturo Molina Ocampo (Centro de Investigaci´on en Ingenier´ýa y Ciencias Aplicadas - (IICBA), Autonomous University of the State of Morelos, Cuernavaca, Morelos, Mexico)

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