Intelligent method to experimentally identify the fracture mechanism of red sandstone

IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zida Liu, Diyuan Li, Quanqi Zhu, Chenxi Zhang, Jinyin Ma, Junjie Zhao
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引用次数: 0

Abstract

Tensile and shear fractures are significant mechanisms for rock failure. Understanding the fractures that occur in rock can reveal rock failure mechanisms. Scanning electron microscopy (SEM) has been widely used to analyze tensile and shear fractures of rock on a mesoscopic scale. To quantify tensile and shear fractures, this study proposed an innovative method composed of SEM images and deep learning techniques to identify tensile and shear fractures in red sandstone. First, direct tensile and preset angle shear tests were performed for red sandstone to produce representative tensile and shear fracture surfaces, which were then observed by SEM. Second, these obtained SEM images were applied to develop deep learning models (AlexNet, VGG13, and SqueezeNet). Model evaluation showed that VGG13 was the best model, with a testing accuracy of 0.985. Third, the features of tensile and shear fractures of red sandstone learned by VGG13 were analyzed by the integrated gradient algorithm. VGG13 was then implemented to identify the distribution and proportion of tensile and shear fractures on the failure surfaces of rock fragments caused by uniaxial compression and Brazilian splitting tests. Results demonstrated the model feasibility and suggested that the proposed method can reveal rock failure mechanisms.

红砂岩断裂机理实验识别的智能方法
拉伸和剪切破坏是岩石破坏的重要机制。了解岩石中发生的裂缝可以揭示岩石破坏机制。扫描电子显微镜(SEM)在细观尺度上被广泛用于分析岩石的拉伸和剪切断裂。为了量化拉伸和剪切裂缝,本研究提出了一种由SEM图像和深度学习技术组成的创新方法来识别红砂岩中的拉伸和剪切裂缝。首先,对红砂岩进行了直接拉伸和预角剪切试验,得到了具有代表性的拉伸和剪切断裂面,并对其进行了扫描电镜观察。其次,将这些获得的SEM图像应用于开发深度学习模型(AlexNet, VGG13和SqueezeNet)。模型评价结果表明,VGG13为最佳模型,检验精度为0.985。第三,采用积分梯度算法对VGG13获取的红砂岩张剪裂缝特征进行分析。然后利用VGG13识别单轴压缩和巴西劈裂试验引起的岩屑破坏面上拉伸和剪切裂缝的分布和比例。结果证明了该模型的可行性,并表明该方法可以揭示岩石破坏机制。
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
CiteScore
9.30
自引率
16.70%
发文量
205
审稿时长
2 months
期刊介绍: International Journal of Minerals, Metallurgy and Materials (Formerly known as Journal of University of Science and Technology Beijing, Mineral, Metallurgy, Material) provides an international medium for the publication of theoretical and experimental studies related to the fields of Minerals, Metallurgy and Materials. Papers dealing with minerals processing, mining, mine safety, environmental pollution and protection of mines, process metallurgy, metallurgical physical chemistry, structure and physical properties of materials, corrosion and resistance of materials, are viewed as suitable for publication.
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