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硅酸盐通报 ›› 2023, Vol. 42 ›› Issue (4): 1260-1269.

所属专题: 水泥混凝土

• 水泥混凝土 • 上一篇    下一篇

混杂纤维混凝土高温后性能劣化分析与强度预测

张劲竹1, 刘华新1, 王家贺2, 柳根金3, 王学志1   

  1. 1.辽宁工业大学土木建筑工程学院,锦州 121001;
    2.中交路桥建设有限公司,北京 100024;
    3.浙大宁波理工学院土木建筑工程学院,宁波 315100
  • 收稿日期:2022-11-10 修订日期:2023-02-09 出版日期:2023-04-15 发布日期:2023-04-25
  • 通信作者: 柳根金,博士,讲师。E-mail:liugenjin@163.com
  • 作者简介:张劲竹(1998—),女,硕士研究生。主要从事高性能混凝土的研究与应用。E-mail:Zhang_jz20@163.com
  • 基金资助:
    研究生联合培养基地项目(YJD202102);浙江省教育厅一般科研项目(Y202146776);浙江省自然科学基金资助项目(LQ22E080024);辽宁省教育厅2022年度科学研究经费项目(LJKMZ20220979)

Performance Degradation Analysis and Strength Prediction of Hybrid Fiber Reinforced Concrete after High Temperature

ZHANG Jinzhu1, LIU Huaxin1, WANG Jiahe2, LIU Genjin3, WANG Xuezhi1   

  1. 1. School of Civil Engineering and Architecture, Liaoning University of Technology, Jinzhou 121001, China;
    2. CCCC Road and Bridge Construction Co., Ltd., Beijing 100024, China;
    3. School of Civil Engineering & Architecture, NingboTech University, Ningbo 315100, China
  • Received:2022-11-10 Revised:2023-02-09 Online:2023-04-15 Published:2023-04-25

摘要: 为研究高温对混杂纤维混凝土(HFRC)残余强度与微观结构演变规律的影响,测试了HFRC在不同温度作用后的基本力学性能,借助扫描电子显微镜研究了纤维-水泥浆体界面的微观结构,并利用BP神经网络对HFRC在不同温度作用后的抗压强度进行了预测。结果表明:纤维的混杂效应显著改善了混凝土的耐高温性能,高温后HFRC的抗压强度和劈裂抗拉强度均高于素混凝土;当纤维素纤维和玄武岩纤维体积掺量均为0.15%时,HFRC的抗压强度和劈裂抗拉强度均达到最大值;HFRC内部结构密实,玄武岩纤维填充在孔隙处且与基体的黏结较好,有效抑制了裂缝的扩展;基于神经网络的预测数据与试验数据吻合,BP神经网络较好地预测了高温后HFRC的抗压强度。

关键词: 混杂纤维混凝土, 玄武岩纤维, 纤维素纤维, 力学性能, 微观结构, BP神经网络, 强度预测

Abstract: In order to study the influence of high temperature on the residual strength and microstructure evolution of hybrid fiber reinforced concrete (HFRC), the basic mechanical properties of HFRC at different temperatures were tested. The microstructure of the interface between fiber and cement paste was studied by scanning electron microscopy and the compressive strength of HFRC after different heat treatment temperatures was predicted by BP neural network. The results show that the synergistic effect of fiber significantly improves the high temperature resistance of concrete, and the compressive strength and splitting tensile strength of HFRC are higher than those of plain concrete after high temperature. The compressive strength and splitting tensile strength of HFRC reach the maximum value when the volume fraction of cellulose fiber and basalt fiber is 0.15%. The internal structure of HFRC is dense, and the basalt fiber is filled in the pores and has good bonding with the matrix, which effectively inhibits the crack propagation. The prediction data based on neural network matches with the experimental data, and the BP neural network well predicts the compressive strength of HFRC after high temperature.

Key words: hybrid fiber reinforced concrete, basalt fiber, cellulose fiber, mechanical property, microstructure, BP neural network, strength prediction

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