基于BSE图像的水泥修补料物相分析方法对比
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1.西安工业大学;2.中国商飞上海飞机客户服务有限公司;3.同济大学;4.上海宝冶集团有限公司

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TU528????????

基金项目:

云南省重大科技项目(批准号:202303AA080011);陕西省高校青年创新团队建设项目(2023)


A Comparative Study of Phase Analysis Methods for Cement-based Repair Materials Based on BSE Images
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Affiliation:

1.Xi'2.'3.an Technological University;4.COMAC Shanghai Aircraft Customer Service Co., Ltd.;5.Tongji University;6.Shanghai Baoye Group Co., Ltd.

Fund Project:

Major Scientific Research Projects in Yunnan Province (Grant No. 202303AA080011);Shaanxi University Youth Innovation Team Construction Project (2023)

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    摘要:

    基于背散射电子(BSE)图像,对比了频率—灰度直方图法、累计频率—灰度直方图法和高斯混合模型法在水泥修补料物相分析中的表现,并基于最优方法研究了修补界面区的物相占比.结果表明:高斯混合模型法具有最好的稳定性和一致性,推荐在物相分析的阈值分割中使用.同时发现修补界面区的孔隙和未水化颗粒分布较密,其中改性硅酸盐材料的未水化颗粒含量较高,磷酸盐材料的孔隙占比较高,在修补工作中应做相应处理以提升修补效果.

    Abstract:

    Based on backscattered electron (BSE) images, the performances of the frequency-grayscale histogram, cumulative frequency-grayscale histogram, and Gaussian mixture model methods in phase analysis of cement-based repair materials were compared, and the phase proportions in the repaired interfacial transition zones were studied based on the optimal method. The results indicate that the Gaussian mixture model method exhibits the best stability and consistency, and it is recommended for use in grayscale threshold segmentation for quantitative phase analysis. Additionally, it is found that pores and unreacted particles are densely distributed in repaired interfacial transition zones, with a higher content of unreacted particles in modified Portland cement-based repair materials and a greater proportion of pores in phosphate cement-based repair materials, so the appropriate treatment should be applied in repair work to enhance the effectiveness of the repair.

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  • 收稿日期:2024-09-10
  • 最后修改日期:2025-01-03
  • 录用日期:2025-01-10
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