基于灰色关联分析的RTSF-PVA混杂纤维矿渣混凝土的力学性能分析及优化

doi:10.19936/j.cnki.2096-8000.20221228.007

复合材料科学与工程 ›› 2022, Vol. 0 ›› Issue (12): 54-61.DOI: 10.19936/j.cnki.2096-8000.20221228.007

基于灰色关联分析的RTSF-PVA混杂纤维矿渣混凝土的力学性能分析及优化

陈东林, 王学志, 刘华新

辽宁工业大学土木建筑工程学院,锦州121001

收稿日期:2021-11-01 出版日期:2022-12-28 发布日期:2023-02-03
通讯作者: 王学志(1976-),男,博士,教授,主要从事纤维混凝土及工业固废再利用方面的研究,myemailwxz@163.com。
作者简介:陈东林(1996-),男,硕士研究生,主要从事纤维混凝土结构分析方面的研究。
基金资助:
辽宁省自然科学基金项目(2015020214);辽宁省教育厅基金项目(JJL201915402);辽宁省“兴辽英才计划”项目(XLYC1807044)

Analysis and optimization of mechanical properties of RTSF-PVA hybrid fiber concrete based on grey correlation analysis

CHEN Dong-lin, WANG Xue-zhi, LIU Hua-xin

School of Civil and Architectural Engineering, Liaoning University of Technology, Jinzhou 121001, China

Received:2021-11-01 Online:2022-12-28 Published:2023-02-03

摘要/Abstract

摘要： 采用三水平四因素正交设计,研究了回收轮胎钢纤维(RTSF)、聚乙烯醇纤维(PVA)和矿渣对RTSF-PVA/矿渣混凝土的立方体抗压强度、劈裂抗拉强度和抗折强度三项性能指标的影响。结果表明:相比于C50基准混凝土,RTSF-PVA/矿渣混凝土的立方体抗压强度最大提升幅度为23.71%,劈裂抗拉强度最大提升了43.72%,抗折强度最大提升了37.96%。通过方差分析发现:RTSF纤维是影响三项性能指标的显著性因素,矿渣对于立方体抗压强度和抗折强度是显著性因素,PVA纤维对于劈裂抗拉是显著性因素。运用灰色关联分析法和主成分分析法对RTSF-PVA/矿渣混凝土性能指标进行优化,通过对比各因素的灰色关联度得出优化方案:RTSF体积掺量为0.6 kg/m³、PVA体积掺量为0.075 kg/m³、GBFS替代率为15%。优化后的方案与原始方案相比,立方体抗压强度稍有降低,但劈裂抗拉强度、抗折强度与坍落度分别提升1.24%、5.11%和30.91%,该结果验证了优化方法的有效性,并为RTSF纤维、PVA纤维和矿渣的掺量范围提供了参考。

关键词: 回收轮胎钢纤维(RTSF), 聚乙烯醇纤维(PVA), 矿渣, 正交试验, 灰色关联分析

Abstract: The effects of recycled tire steel fiber (RTSF), polyvinyl alcohol fiber (PVA) and slag on cubic compressive strength, splitting tensile strength and flexural strength of RTSF-PVA/ slag concrete were studied by orthogonal design with three levels and four factors. The results show that, compared with C50 reference concrete, the maximum cubic compressive strength, splitting tensile strength and flexural strength of RTF-PVA/slag concrete are increased by 23.71%, 43.72% and 37.96% respectively. Through variance analysis, it is found that RTSF fiber is a significant factor affecting the three performance indexes, slag is a significant factor affecting the cube compressive strength and flexural strength, and PVA fiber is a significant factor affecting the splitting tensile strength. The performance indexes of RTSF-PVA/ slag concrete were optimized by using grey correlation analysis method and principal component analysis method. By comparing the grey correlation degree of each factor, the optimal scheme was obtained as followed. The volume content of RTSF was 0.6 kg/m³, the volume content of PVA was 0.075 kg/m³, and the replacement rate of GBFS was 15%. Compared with the original scheme, the cube compressive strength after optimization is slightly reduced, but the splitting tensile strength, bending strength and slump are increased by 1.24%, 5.11% and 30.91%, respectively. The results verify the effectiveness of the optimization method, and provide a reference for the mixing range of RTSF fiber, PVA fiber and slag.

Key words: recycled tire steel fiber (RTSF), polyvinyl alcohol fiber (PVA), slag, orthogonal test, grey correlation analysis

中图分类号:

TB332

陈东林, 王学志, 刘华新. 基于灰色关联分析的RTSF-PVA混杂纤维矿渣混凝土的力学性能分析及优化[J]. 复合材料科学与工程, 2022, 0(12): 54-61.

CHEN Dong-lin, WANG Xue-zhi, LIU Hua-xin. Analysis and optimization of mechanical properties of RTSF-PVA hybrid fiber concrete based on grey correlation analysis[J]. COMPOSITES SCIENCE AND ENGINEERING, 2022, 0(12): 54-61.

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基于灰色关联分析的RTSF-PVA混杂纤维矿渣混凝土的力学性能分析及优化

Analysis and optimization of mechanical properties of RTSF-PVA hybrid fiber concrete based on grey correlation analysis

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