长江科学院院报 ›› 2022, Vol. 39 ›› Issue (10): 121-127.DOI: 10.11988/ckyyb.20210726

• 水工结构与材料 • 上一篇    下一篇

钢-聚乙烯醇混杂纤维对自密实混凝土梁抗剪性能的影响

李庆文, 曹行, 杨露, 王学志, 刘华新   

  1. 辽宁工业大学 土木建筑工程学院,辽宁 锦州 121001
  • 收稿日期:2021-07-15 修回日期:2021-09-17 发布日期:2022-10-13
  • 通讯作者: 王学志(1976-),辽宁锦州人,教授,博士,研究方向为纤维混凝土材料耐久性性能。E-mail:myemailwxz@163.com
  • 作者简介:李庆文(1987-),辽宁绥中人,讲师,博士,主要从事混凝土、岩石力学试验及颗粒流等方面的教学与科研工作。E-mail:lgjzlqw@163.com
  • 基金资助:
    国家自然科学基金项目(51704143,51704144);辽宁省博士科研启动基金项目(2019-BS-120);辽宁省自然科学基金指导项目(20180550297);辽宁省教育厅项目(JJL201915402)

Effects of Steel-PVA Hybrid Fiber on Shear Performance of Self-compacting Concrete Beams

LI Qing-wen, CAO Hang, YANG Lu, WANG Xue-zhi, LIU Hua-xin   

  1. School of Civil and Architecture Engineering,Liaoning University of Technology,Jinzhou 121001,China
  • Received:2021-07-15 Revised:2021-09-17 Online:2022-10-13

摘要: 通过设置不同的纤维体积掺量、混杂比和箍筋间距,对钢(SF)-聚乙烯醇(PVA)混杂纤维自密实混凝土梁的抗剪性能进行了试验研究。试验结果表明,在混凝土梁中掺加SF或PVA纤维能有效抑制梁裂缝的产生和扩展,并提高梁的抗剪承载力;箍筋间距为150 mm、体积掺加率为1%且SF-PVA纤维的混杂比为1∶1的试件开裂荷载值和抗剪承载力最大;在纤维混杂比和体积掺量相同的情况下,减小箍筋间距能明显提升梁的极限荷载值,但对梁开裂荷载值影响不大。并以SF体积掺量、PVA纤维体积掺量以及箍筋间距为输入层,极限剪力为输出层,建立了BP神经网络强度预测模型,并对极限剪力进行拟合,预测结果较准确。

关键词: 自密实混凝土梁, 钢纤维, 聚乙烯醇纤维, 混杂比, 抗剪承载力, BP神经网络

Abstract: The shear behavior of self-compacting concrete beams with hybrid steel fiber (SF)-polyvinyl alcohol (PVA) fiber was studied through tests with different volumetric dosages of the SF-PVA hybrid fiber,different hybrid ratios of the two fibers,and varied spacing of stirrups.Test results manifested that adding SF or PVA fiber into concrete beams could effectively restrain the generation and propagation of cracks and improve the shear capacity of beams.The specimen with stirrup spacing of 150 mm,volumetric dosage of 1% and hybrid ratio of 1∶1 has the maximum cracking load and shear capacity.Under the same volumetric content and hybrid ratio,reducing the stirrup spacing could remarkably reduce the ultimate load value of the beam,but has little effect on the crack load value of the beam.In addition,a BP neural network model for strength prediction was established with SF's volumetric content,PVA fiber's volumetric content,and stirrup spacing as input layer and ultimate shear as output layer.Ultimate shear force was fitted and the prediction result was accurate.

Key words: self-compacting concrete beam, SF, PVA, hybrid ratio, shear bearing capacity, BP neural network

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