Investigating the accuracy of digital image correlation in monitoring strain fields across historical tapestries

IF 1.8 3区材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Strain Pub Date : 2021-09-13 DOI:10.1111/str.12401

K. Nwanoro, P. Harrison, F. Lennard

引用次数: 6

Abstract

Finite element generated synthetic image deformation is used to assess factors affecting the reliability and accuracy of strain fields measured by the DIC technique, when using the inherent historical tapestry image to track deformations. Compared with direct correlation with the reference image, incremental correlation is found to introduce accumulated error and is less suitable for DIC analysis under low strains. Image quality, for example, variation in resolution, is demonstrated to strongly affect DIC performance. Finally, it is recommended that an iterative approach is required to determine the optimum subset and strain filter size for effective DIC analysis using inherent tapestry patterns, especially at low strain levels.

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探讨数字图像相关在监测历史挂毯应变场中的准确性

当使用固有的历史挂毯图像来跟踪变形时，有限元生成的合成图像变形用于评估影响DIC技术测量的应变场的可靠性和准确性的因素。与参考图像的直接相关相比，增量相关引入了累积误差，不太适合在低应变下进行DIC分析。图像质量，例如分辨率的变化，被证明会强烈影响DIC的性能。最后，建议使用迭代方法来确定最佳子集和应变滤波器大小，以便使用固有的挂毯模式进行有效的DIC分析，特别是在低应变水平下。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Strain 工程技术-材料科学：表征与测试

CiteScore

4.10

自引率

4.80%

发文量

期刊介绍： Strain is an international journal that contains contributions from leading-edge research on the measurement of the mechanical behaviour of structures and systems. Strain only accepts contributions with sufficient novelty in the design, implementation, and/or validation of experimental methodologies to characterize materials, structures, and systems; i.e. contributions that are limited to the application of established methodologies are outside of the scope of the journal. The journal includes papers from all engineering disciplines that deal with material behaviour and degradation under load, structural design and measurement techniques. Although the thrust of the journal is experimental, numerical simulations and validation are included in the coverage. Strain welcomes papers that deal with novel work in the following areas: experimental techniques non-destructive evaluation techniques numerical analysis, simulation and validation residual stress measurement techniques design of composite structures and components impact behaviour of materials and structures signal and image processing transducer and sensor design structural health monitoring biomechanics extreme environment micro- and nano-scale testing method.