基于图像识别技术的地聚物化学收缩测试方法
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TU502

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建筑安全与环境国家重点实验室/国家建筑工程技术研究中心开放课题(BSBE2022-14);国家自然科学基金面上项目(52278266,U24A2048);辽宁省教育厅高等学校重点科研项目(LJ212510153042);辽宁省兴辽英才计划项目(XLYC2403149)


Research on the Chemical Shrinkage Property of Geopolymer Based on Image Recognition Technology
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    摘要:

    为精确研究地聚物胶凝材料的化学收缩性能,开发了一种双管式无橡胶塞化学收缩测试装置,并采用数字图像技术对其进行连续监测和计数,解决了因人工读数以及原装置中橡胶塞内应力带来的试验误差大的问题。结果表明:采用本方法测量的地聚物化学收缩数值的变异系数是传统方法(ASTM-C1608)的11%(最大值)和22%(稳定值),数据的离散程度为传统方法的18.4%,说明本方法的测试结果更加准确。采用本方法测量并分析了不同氧化物摩尔比条件下地聚物胶凝材料的化学收缩总量及速率,发现随原料氧化摩尔比的增加,地聚物化学收缩总量逐渐增加,化学收缩速率的最大值与其时间与原料氧化摩尔比呈线性关系,最终给出了氧化物摩尔比与地聚物化学收缩速率峰值和峰值时间的数学方程,为地聚物的早期开裂行为以及其反应动力学的研究提供了一个新的方法。

    Abstract:

    In order to accurately study the chemical shrinkage performance of polymer cementing materials, a double-tube chemical shrinkage testing device without rubber stoppers was developed. Digital image technology was adopted to continuously monitor and count it, which solved the problem of large test errors caused by manual reading and the internal stress of the rubber stoppers in the original device. The results show that the coefficient of variation of the geopolymer chemical shrinkage values measured by this method is 11% (maximum value) and 22% (stable value) of the traditional method (ASTM-C1608), and the degree of data dispersion is 18.4% of that of the traditional method. It is indicated that the test results obtained by adopting this method are more accurate. The total chemical shrinkage of geopolymer cementitious materials under different oxide molar ratios was measured and analyzed by this method, and the influence of the oxide molar ratio on the chemical shrinkage rate was calculated. Finally, the mathematical equations of the oxide molar ratio and the peak and peak rate of geopolymer chemical shrinkage were given. It provides a new method for the study of the early cracking behavior of geopolymers and their reaction kinetics.

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丁兆洋,鲁希广,张强,等. 基于图像识别技术的地聚物化学收缩测试方法[J]. 科学技术与工程, 2026, 26(13): 5670-5678.
Ding Zhaoyang, Lu Xiguang, Zhang Qiang, et al. Research on the Chemical Shrinkage Property of Geopolymer Based on Image Recognition Technology[J]. Science Technology and Engineering,2026,26(13):5670-5678.

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  • 收稿日期:2025-07-18
  • 最后修改日期:2026-04-28
  • 录用日期:2025-11-26
  • 在线发布日期: 2026-05-18
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