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硅酸盐通报 ›› 2023, Vol. 42 ›› Issue (12): 4283-4297.

• 水泥混凝土 • 上一篇    下一篇

基于PCA的PVA/钢HFRCC配合比优化和综合评估

王睿, 张品乐, 胡静   

  1. 昆明理工大学建筑工程学院,昆明 650500
  • 收稿日期:2023-07-10 修订日期:2023-09-15 出版日期:2023-12-15 发布日期:2023-12-12
  • 通信作者: 张品乐,博士,教授。E-mail:zhangpinlezhang@163.com
  • 作者简介:王 睿(1993—),男,硕士研究生。主要从事混杂纤维混凝土力学性能方面的研究。E-mail:1589950978@qq.com
  • 基金资助:
    国家自然科学基金(52168069,51568028)

Mix Ratio Optimization and Comprehensive Evaluation of PVA/Steel HFRCC Based on PCA

WANG Rui, ZHANG Pinle, HU Jing   

  1. School of Architectural Engineering, Kunming University of Science and Technology, Kunming 650500, China
  • Received:2023-07-10 Revised:2023-09-15 Online:2023-12-15 Published:2023-12-12

摘要: 将钢纤维、国产PVA纤维和日本可乐丽PVA纤维按照适宜比例进行配制,可以更好地发挥出混杂纤维增强水泥基材料(HFRCC)的力学性能,有利于控制成本,具有广泛的应用前景。本文通过因素优选法和主成分分析法(PCA)分析钢纤维掺量、国产PVA纤维对日产PVA纤维替代率(体积分数,下同)对HFRCC抗拉强度、抗压强度、抗弯强度的影响。通过对HFRCC主成分分析,建立综合性能评价的数学模型,并对其进行多目标优化。结果表明:运用因素优选法得到HFRCC极限强度对应的配合比,与基体强度指标相比,HFRCC的抗拉强度最大提升幅度为61.04%,抗压强度最大提升幅度为31.30%,抗弯强度的最大提升幅度为78.57%;当钢纤维掺量为0.2%~0.4%、国产PVA纤维对日产PVA纤维体积替代率为50%~100%时,成本最大降幅为88.25%,HFRCC强度指标可达最佳;各因素对HFRCC性能影响的权重占比依次为:国产PVA纤维掺量、日产PVA纤维掺量和抗弯强度共占46.28%,钢纤维掺量、抗压强度和抗弯强度共占25.58%,钢纤维掺量和抗拉强度共占22.25%。结合变量相关性分析,基于HFRCC性能优化时应重点关注这些指标。本文研究结果可以为HFRCC的制备提供依据。

关键词: 主成分分析法, 因素优选法, 混杂纤维增强水泥基材料, 钢纤维, PVA纤维, 配合比优化

Abstract: The mechanical properties of hybrid fiber reinforced cementious composites (HFRCC) can be better brought into play when steel fiber, domestic PVA fiber and Japanese Corari PVA fiber are prepared according to the appropriate proportion, which is beneficial to cost control and has a wide application prospect. The influences of steel fiber volume content, domestic PVA fiber on the replacement rate of Nissan PVA fiber (volume fraction, same below) on the tensile strength, compressive strength and bending strength of HFRCC were analyzed by factor optimization method and principal component analysis (PCA). Through the principal component analysis of HFRCC, the mathematical model of comprehensive performance evaluation was established, and the multi-objective optimization was carried out. The results show that the maximum increase of tensile strength, compressive strength and bending strength of HFRCC is 61.04%, 31.30% and 78.57% respectively. When the steel fiber content is 0.2%~0.4% and the domestic PVA fiber volume replacement rate is 50%~100%, the maximum cost reduction is 88.25%, and the HFRCC strength index can reach the best. The weight proportion of each factor affecting HFRCC performance is as follows: domestic PVA fiber content, Nissan PVA fiber content and bending strength account for 46.28%. The content, compressive strength and bending strength of steel fiber account for 25.58%. The content and tensile strength of steel fiber account for 22.25%. Combined with variable correlation analysis, these indicators should be focused on when performance optimization based on HFRCC. The results can provide a basis for the preparation of HFRCC.

Key words: principal component analysis, factor optimization method, hybrid fiber reinforced cementious composites, steel fiber, PVA fiber, mix ratio optimization

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