Open AccessBook
Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications
Reads0
Chats0
TLDR
In this paper, a comprehensive overview of image correlation for shape, motion and deformation measurements is provided. But, the authors do not discuss the effect of out-of-plane motion on 2D measurements.Abstract:
Image Correlation for Shape, Motion and Deformation Measurements provides a comprehensive overview of data extraction through image analysis. Readers will find and in-depth look into various single- and multi-camera models (2D-DIC and 3D-DIC), two- and three-dimensional computer vision, and volumetric digital image correlation (VDIC). Fundamentals of accurate image matching are described, along with presentations of both new methods for quantitative error estimates in correlation-based motion measurements, and the effect of out-of-plane motion on 2D measurements. Thorough appendices offer descriptions of continuum mechanics formulations, methods for local surface strain estimation and non-linear optimization, as well as terminology in statistics and probability. With equal treatment of computer vision fundamentals and techniques for practical applications, this volume is both a reference for academic and industry-based researchers and engineers, as well as a valuable companion text for appropriate vision-based educational offerings.read more
Citations
More filters
Journal ArticleDOI
An experimental study on the manufacture and characterization of in-plane fibre-waviness defects in composites
TL;DR: Residual strains have a significant effect on the failure of laminates containing fibre waviness and that these strains could be incorporated into computational models to improve their ability to simulate the defect.
Journal ArticleDOI
Composite structures subjected to underwater explosive loadings: A comprehensive review
Phuong Tran,Changlang Wu,Michael Saleh,Luiz Bortolan Neto,Hung Nguyen-Xuan,Hung Nguyen-Xuan,António Ferreira +6 more
TL;DR: How data-led modelling approach such as artificial neural networks or deep learning, which is based largely on experimental data, could provide powerful assistance to analytical and deterministic numerical analysis is discussed.
Journal ArticleDOI
Crack Propagation Analysis of Synthetic vs. Steel vs. Hybrid Fibre-Reinforced Concrete Beams Using Digital Image Correlation Technique
Aniket Bhosale,S. Suriya Prakash +1 more
TL;DR: In this article, the authors investigated the fracture behavior of fiber-reinforced concrete (FRC) using digital image correlation (DIC) technique and found that three distinct fiber dosages of 0.50, 0.75, and 1.00% of macro-polyolefin fibres, hooked end steel fibres and their hybrid combination are regarded as research parameters.
Journal ArticleDOI
Machine Learning Classifiers for Surface Crack Detection in Fracture Experiments
TL;DR: An image-based machine learning approach is proposed to classify cracked and un-cracked specimens, which yields the potential to objectify and automate crack detection, thereby removing sources of uncertainty and error from the post-processing of experiments.
Journal ArticleDOI
In situ strain and temperature measurement and modelling during arc welding
TL;DR: In this paper, a new high temperature strain measurement technique based on digital image correlation (DIC) was developed and applied to measure the in situ strain evolution, which is vulnerable to high temperature and intense arc light involved in fusion welding processes.