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Development and Implementation of Image-based Algorithms for Measurement of Deformations in Material Testing

机译:基于图像的材料测试中变形测量算法的开发与实现

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摘要

This paper presents the development and implementation of three image-based methods used to detect and measure the displacements of a vast number of points in the case of laboratory testing on construction materials. Starting from the needs of structural engineers, three ad hoc tools for crack measurement in fibre-reinforced specimens and 2D or 3D deformation analysis through digital images were implemented and tested. These tools make use of advanced image processing algorithms and can integrate or even substitute some traditional sensors employed today in most laboratories. In addition, the automation provided by the implemented software, the limited cost of the instruments and the possibility to operate with an indefinite number of points offer new and more extensive analysis in the field of material testing. Several comparisons with other traditional sensors widely adopted inside most laboratories were carried out in order to demonstrate the accuracy of the implemented software. Implementation details, simulations and real applications are reported and discussed in this paper.
机译:本文介绍了三种基于图像的方法的开发和实现,这些方法用于在建筑材料的实验室测试中检测和测量大量点的位移。从结构工程师的需求出发,实施并测试了三种用于测量纤维增强样品的裂缝以及通过数字图像进行2D或3D变形分析的临时工具。这些工具利用了先进的图像处理算法,并且可以集成甚至替代当今大多数实验室中使用的某些传统传感器。此外,所实现的软件提供的自动化,仪器有限的成本以及可以无限次运行的点数,为材料测试领域提供了新的,更广泛的分析方法。与大多数实验室内部广泛采用的其他传统传感器进行了几次比较,以证明所实施软件的准确性。本文报告并讨论了实现细节,仿真和实际应用。

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