高强高韧机敏混凝土的制备及其性能
Preparation and performance of smart high strength and high ductile concrete
刘金涛 1洪宇超 2周煜 2王伟胜 2孔德玉1
作者信息
- 1. 浙江工业大学 土木工程学院,杭州 310023;浙江省工程结构与防灾减灾技术研究重点实验室,杭州 310023
- 2. 浙江工业大学 土木工程学院,杭州 310023
- 折叠
摘要
研究通过混杂碳纤维(Carbon fiber,CF)和聚乙烯纤维(Polyethylene fiber,PE)制备出高强高韧性混凝土(High strength and high ductility concrete,HSHDC),并对其力学性能及机敏性特性进行了分析.研究表明 0.25vol％CF掺量 HSHDC的抗压强度较对照组提升 7％、抗折强度增加 13％、拉伸应变提高 15.2％.HSHDC的电阻率值随CF掺量增加而显著降低,1.0vol％CF掺量HSHDC的电阻率值下降至 10 Ω·m,较对照组降低 3个数量级.在不同温度与相对含水率下,掺有CF的HSHDC电阻率表现出较好的稳定性,循环荷载作用下 0.25vol％CF掺量HSHDC电阻率变化率与应力之间表现出良好的对应关系,压应力和压应变灵敏系数分别达到 0.75％/MPa和 136.5.0.25vol％CF掺量的HSHDC在加载幅度为 15 MPa时的最大电阻率变化率为9.2％,加载速度为0.4 mm/min时峰值电阻率变化率达到7.9％.
Abstract
In this study,high strength and high ductility concrete(HSHDC)was developed by mixing carbon fiber(CF)and polyethylene fiber(PE).The mechanical properties and agility of HSHDC were analyzed.The results show that the compressive strength,flexural strength and tensile strain of HSHDC with 0.25vol％CF content were 7％,13％,and 15.2％higher than those of control group,respectively.The resistivity of HSHDC decreases significantly with the increase of CF content,and the resistivity of HSHDC with 1.0vol％CF content was as low as 10 Ω·m,which was three orders of magnitude lower than that of the control group.With different temperature and relatively humidity condi-tions,the resistivity of HSHDC mixed with CF showed good stability.Under cyclic loading,the resistivity change rate of HSHDC with 0.25vol％CF content showed a good correspondence with the stress,and the compressive stress and compressive strain sensitivity coefficients reached 0.75％/MPa and 136.5,respectively.For HSHDC with 0.25vol％CF content,the maximum resistivity change rate was 9.2％when the loading amplitude was 15 MPa,and the peak resistivity change rate was 7.9％when the loading speed was 0.4 mm/min.
关键词
混杂纤维/高韧性混凝土/力学性能/温敏性能/湿敏性能/压敏性能Key words
hybrid fiber/high ductile concrete/mechanical properties/temperature sensitive property/humi-dity sensitive property/pressure sensitive property引用本文复制引用
出版年
2024
NETL
NSTL
万方数据