缓黏结预应力钢绞线用胶黏剂固化指标试验研究
Experimental study on curing index of adhesives for retard-bonded prestressed steel strand
蒋方新 1李仙花 1田清涛 2王利民 3李佩勋 4杜江涛1
作者信息
- 1. 中国建筑科学研究院有限公司,北京 100013;中国建筑技术集团有限公司,北京 100013
- 2. 中铁建设集团有限公司,北京 100040
- 3. 中国建筑科学研究院有限公司,北京 100013
- 4. 北京宝维森新材料科技发展有限公司,北京 101112
- 折叠
摘要
近年来缓黏结预应力技术因其优异特性在预应力结构领域深受欢迎.缓黏结预应力技术的关键材料是缓黏结预应力钢绞线,技术原理是通过胶黏剂固化后将钢绞线与周围的混凝土融为一体,从而增加结构的黏结锚固性能.当前学术界和工程界对胶黏剂固化指标的研究较少,本文主要对胶黏剂常见的4种固化检测指标进行试验研究,包括邵氏硬度、拉伸剪切强度、抗压强度和弯曲强度试验.结果表明:胶黏剂的4种固化指标达到最大值时对应的固化时间接近相同,所以4种固化指标具有一致性;胶黏剂固化后邵氏硬度最大值的离散系数最小(0.013),邵氏硬度特征值(80 D)是胶黏剂固化完成的最佳固化评定指标.
Abstract
In recent years,the retard-bonded pre-stressed technology has become popular in the pre-stressed structures thanks to its excellent characteristics.The key material for the retard-bonded pre-stressed technology is the retard-bonded pre-stressed steel strand,and the technical principle is to bond the steel strand with the surrounding concrete through an adhesive solidified in the steel strand.Therefore,the bonding and anchoring properties of the structure are improved.At present,there are few researches on the curing evaluation index of the adhesive in academic and engineering circles.In this paper,four common curing indexes of the cured adhesives were studied,including shore hardness,tensile shear strength,compressive strength,and bending strength.The results indicated that the corresponding curing time was close to each other when the four curing indexes of the adhesive reached maximum,indicating that the four curing indexes were consistent.The maximum values of shore hardness exhibited the smallest dispersion coefficient of 0.013,and the charac-teristic value at a shore hardness of 80 D presented the best curing evaluation index for the complete curing of adhesives.
关键词
缓黏结预应力技术/胶黏剂/邵氏硬度/拉伸剪切强度/抗压强度/弯曲强度/固化指标Key words
retard-bonded prestressed technology/adhesive/shore hardness/tensile shear strength/compressive strength/bending strength/curing index引用本文复制引用
基金项目
住建部研究开发项目(K20200641)
中国建筑科学研究院有限公司青年基金(20221802331030014)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据