混凝土2024,Issue(7) :63-68.DOI:10.3969/j.issn.1002-3550.2024.07.013

BFRP筋与超高性能纤维混凝土黏结性能试验研究

Experimental investigations on bonding performance between BFRP bars and ultra-high performance fiber concrete

陈家豪 林春志 杜明芳 静行 韩建军 苏凯 耿圣林
混凝土2024,Issue(7) :63-68.DOI:10.3969/j.issn.1002-3550.2024.07.013

BFRP筋与超高性能纤维混凝土黏结性能试验研究

Experimental investigations on bonding performance between BFRP bars and ultra-high performance fiber concrete

陈家豪 1林春志 1杜明芳 1静行 1韩建军 1苏凯 2耿圣林1
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作者信息

  • 1. 河南工业大学 土木工程学院,河南 郑州 450001
  • 2. 中国建筑第七工程局有限公司,河南 郑州 450001
  • 折叠

摘要

为探究玄武岩纤维增强复合材料(BFRP)筋与超高性能纤维混凝土(UHPFRC)之间的黏结性能,通过中心拉拔试验,对BFRP-UHPFRC试件破坏模式、黏结-滑移曲线进行分析,且探讨了筋材直径、单一纤维及钢-PVA混杂纤维对黏结强度的影响.结果表明,试件破坏模式包括BFRP筋拔出破坏与拉断破坏.BFRP筋直径的增大将导致黏结强度降低.随着单一纤维掺量增加,黏结强度呈先增大后减小的趋势.而相较于单一纤维,钢-PVA混杂纤维显著提高了试件的黏结强度,当掺入 1%钢纤维和 0.5%PVA纤维时,黏结强度最高(25.35 MPa).此外,通过灰狼算法优化的支持向量回归模型实现对黏结强度的预测,预测值与实际值拟合较好.

Abstract

In order to explore the bond performance between basalt fiber reinforced composite bars(BFRP)and ultra-high performance fiber reinforced concrete(UHPFRC),the failure mode and bond slip curve of BFRP-UHPFRC specimens are analyzed through central pull-out test,and the effects of bar diameter,single fiber and steel PVA hybrid fibers on the bond strength are discussed.The results show that the failure modes of the specimens include pull-out failure and tensile failure of BFRP bars.The increase of the diameter of BFRP bars will lead to the decrease of bond strength.With the increase of single fiber content,the bond strength first increases and then decreases.Compared with single fiber,steel PVA hybrid fiber significantly improves the bond strength of the specimen.When 1%steel fiber and 0.5%PVA fiber are added,the bond strength is the highest(25.35 MPa).In addition,the support vector regression model optimized by the gray wolf algorithm is used to predict the bond strength,and the predicted value fits well with the actual value.

关键词

BFRP筋/超高性能纤维混凝土/黏结强度/混杂纤维/灰狼算法/支持向量回归

Key words

BFRP reinforcement/ultra-high performance fiber concrete/bond strength/hybrid fibers/grey wolf algorithm/support vector regression

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基金项目

国家自然科学基金(51778214)

河南工业大学青年骨干教师培育计划(21420155)

中原青年拔尖人才项目(ZYQR201912170)

河南省粮油仓储建筑与安全重点实验室开放课题(2020KF-B01)

出版年

2024
混凝土
中国建筑东北设计研究院有限公司

混凝土

CSTPCD北大核心
影响因子:0.844
ISSN:1002-3550
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