基于响应面法的三元聚合物砂浆力学性能
作者:
作者单位:

1.福建商学院 管理工程系,福建 福州 350012;2.福州大学 土木工程学院,福建 福州 350116

作者简介:

吕官记(1984—),男,河南信阳人,福建商学院讲师,硕士.E-mail:lvguan@fjbu.edu.cn

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中图分类号:

TU528.41

基金项目:

福建省科技计划项目(2020J01325)


Mechanical Properties of Ternary Polymer Mortar Based on Response Surface Method
Author:
Affiliation:

1.Depontment of Management Engineering, Fujian Business University, Fuzhou 350012, China;2.School of Civil Engineering, Fuzhou University, Fuzhou 350116, China

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    摘要:

    通过响应面法的 Box-behnken 试验设计方法构建二次多项式回归方程,对氯乙烯、乙烯和乙烯醚三元聚合物砂浆配合比进行优化,并结合宏观性能与微观形貌进行机理分析.结果表明:所建模型在试验范围内能较准确地预测结果,响应面法用于三元聚合物砂浆配合比优化具有准确性与科学性;对28 d抗压强度影响强弱顺序依次为水灰比、减水剂掺量、聚合物掺量;对28 d 抗折强度和黏结强度影响强弱顺序为聚合物掺量、水灰比、减水剂掺量;将28 d 黏结强度最大值、抗折强度最大值和抗压强度最小值(折压比最大)作为目标优化值,得出三元聚合物砂浆的最优配合比为:聚合物掺量为12%,水灰比为0.42,减水剂掺量为1.12%.

    Abstract:

    A quadratic polynomial regression equation was established by response surface method to optimize the mix proportion of vinyl chloride,ethylene and ethylene ether ternary polymer mortar. The mechanism was analyzed by combining the macroscopic property and microscopic morphology. The results show that the model can accurately predict the results within the test range, and the response surface method is accurate and scientific in the mix proportion optimization of ternary polymer mortar. The order of influence factors on the 28 d compressive strength is water to cement ratio, water reducer content, polymer content. While that on 28 d flexural strength and bonding strength is polymer content, water to cement ratio and water reducer content. Taking the maximum bonding strength, the maximum flexural strength and the minimum compressive strength (the maximum flexural-compressive strength ratio ) as the target optimization values, it is concluded that the optimal mix proportion of ternary polymer mortar is: polymer content is 12%, water to cement ratio is 0.42 and water reducer content is 1.12%.

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引用本文

吕官记,季韬.基于响应面法的三元聚合物砂浆力学性能[J].建筑材料学报,2021,24(5):970-976

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  • 收稿日期:2020-12-14
  • 最后修改日期:2021-02-20
  • 录用日期:2021-02-20
  • 在线发布日期: 2021-12-15
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