研究蜂窝混凝土的大孔结构

K. Suleymanov, V. Lesovik, I. Pogorelova, I. Ryabchevskiy
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引用次数: 0

摘要

对蜂窝混凝土正面进行图像分析的方法是一种创新的方法,可从宏观和微观两个层面获得有关材料结构的详细可靠数据。这一特性是深入了解材料特性的关键。这种方法的主要优势在于其非接触性。传统方法可能需要在分析过程中破坏样品,而图像分析则不同,它可以在不影响材料完整性的情况下进行检查,这一点尤为重要,因为这种方法可以确保样品在后续研究中得到保存。文章介绍了作者开发的一种测定蜂窝混凝土孔隙率的方法。这种方法的一个特点是用粉碎的无定形碳填充正面的孔隙,然后用数码相机获取正面的图像,再进行处理和分析。使用所开发的方法得出的结果与使用传统方法分析多孔结构图像得出的结果具有很高的趋同性。因此,使用图像分析方法是确定蜂窝混凝土孔隙率的一种有前途的方法,可提供高精度的数据,同时对研究对象的影响最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STUDY OF THE MACROPOROUS STRUCTURE OF CELLULAR CONCRETE
The method of image analysis of the front surface of cellular concrete is an innovative way to obtain detailed and reliable data on the structure of the material at both the macro and micro levels. This characteristic is key to a deep understanding of the characteristics of the material. The main advantage of this method is its non-contact nature. Unlike traditional methods, which may require destruction of the sample during analysis, image analysis allows examination without any impact on the integrity of the material, which is especially important since this approach ensures that the sample is preserved for subsequent studies. The article presents a method developed by the authors for determining the porosity of cellular concrete. A feature of this method is the filling of the pores of the front surface with crushed amorphous carbon, followed by obtaining an image of the front surface using a digital camera, and then its processing and analysis. The results obtained using the developed method show high convergence with the results obtained using traditional methods for analyzing images of porous structures. Thus, the use of image analysis method represents a promising approach to determining the porosity of cellular concrete, providing high accuracy of data with minimal impact on the object of study.
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