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Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials

机译:改进纤维增强水泥材料纤维取向的截面图像分析技术

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摘要

The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution in the sectional image of fiber-reinforced concrete. A series of tests on the accuracy of fiber detection and the estimation performance of fiber orientation was performed on artificial fiber images to assess the validity of the proposed technique. The validation test results showed that the proposed technique estimates the distribution of fiber orientation more accurately than the direct measurement of fiber orientation by image analysis.
机译:纤维取向的分布是确定纤维增强混凝土机械性能的重要因素。本研究提出了一种新的图像分析技术,用于提高纤维增强混凝土截面图像中纤维取向分布的评价精度。对纤维检测精度和纤维取向估计性能的一系列测试进行了人工纤维图像,以评估所提出的技术的有效性。验证测试结果表明,所提出的技术估计比图像分析的纤维取向的直接测量更准确地估计纤维取向的分布。

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