理论与试验研究

不同配比聚丙烯纤维再生混凝土损伤模型研究

  • 杨欣 ,
  • 周道文 ,
  • 刘新荣
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  • 1.福建理工大学 土木工程学院,福州 350118;
    2.福建理工大学 地下工程福建省高校重点实验室,福州 350118;
    3.重庆大学 土木工程学院,重庆 400045
杨欣(1987—),男,江西湖口人,博士,副教授,主要从事地下工程及纤维混凝土力学性能研究。E-mail: yangxin546@163.com

收稿日期: 2024-11-22

  网络出版日期: 2025-10-17

基金资助

福建省自然科学基金(2022J01930);云南交投集团科技创新项目(YCIC-YF-2022-14);云南交投集团云岭建设有限公司科技创新项目(YLJS-KF-2025-4)

Study on Damage Model of Polypropylene Fiber Recycled Concrete with Different Mix Proportions

  • Yang Xin ,
  • Zhou Daowen ,
  • Liu Xinrong
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  • 1. School of Civil Engineering, Fujian University of Technology, Fuzhou 350118, P.R. China;
    2. Key Laboratory of Underground Engineering in Fujian Province Uiversities, Fujian University of Technology, Fuzhou 350118, P.R. China;
    3. School of Civil Engineering, Chongqing University, Chongqing 400045, P.R. China

Received date: 2024-11-22

  Online published: 2025-10-17

摘要

为研究不同配比对聚丙烯纤维再生混凝土抗压强度的影响,设计制作了30组粗骨料粒径5~10 mm 与10~20 mm为4∶6、5∶5和6∶4的试件,通过单轴压缩试验,获得各组试件的应力-应变曲线和弹性模量、峰值强度等参数。结果表明:随着粗骨料粒径的减少,峰值应力呈现整体下降的趋势;聚丙烯粗纤维对弹性模量的增强效果最好,混掺粗细聚丙烯纤维对再生混凝土峰值应力的强化效果最好。建立了聚丙烯纤维再生混凝土统计损伤本构模型,发现粗骨料5~10 mm 与10~20 mm比例为5∶5的试件损伤程度最剧烈,混掺粗-细纤维抑制损伤效果最好。最后运用支持向量机回归对再生混凝土峰后应变进行回归预测,研究表明采用线性核函数,将峰后压力机应变作为输入变量预测效果最好。

本文引用格式

杨欣 , 周道文 , 刘新荣 . 不同配比聚丙烯纤维再生混凝土损伤模型研究[J]. 地下空间与工程学报, 2025 , 21(5) : 1534 -1543 . DOI: 10.20174/j.JUSE.2025.05.07

Abstract

In order to study the effect of different mix proportions on the compressive strength of polypropylene fiber reinforced recycled concrete, 30 sets of specimens with coarse aggregate particle sizes of 5~10 mm and 10~20 mm at 4∶6, 5∶5, and 6∶4 were designed and conducted. Through uniaxial compression tests, the stress-strain curves, elastic modulus, peak strength, and other parameters of each set of specimens were obtained. The test results show that: As the coarse aggregate particle size decreases, the peak stress shows an overall downward trend; Polypropylene coarse fibers have the best strengthening effect on the elastic modulus, and the mixing of coarse and fine polypropylene fibers has the best strengthening effect on the peak stress of recycled concrete. A statistical damage constitutive model for polypropylene fiber reinforced recycled concrete was established, and it was found that the specimen with a ratio of 5∶5 for coarse aggregates of 5~10 mm and 10~20 mm exhibits the most severe damage, and the mixture of coarse and fine fibers had the best inhibitory effect on damage. Finally, support vector machine regression was used to predict the post peak strain of recycled concrete. The study show that using a linear kernel function and using the post peak compressive machine strain as the input variable had the best prediction effect.

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