首页|钢纤维类型对玄武岩纤维混凝土力学性能的影响

钢纤维类型对玄武岩纤维混凝土力学性能的影响

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为探究钢纤维类型及掺量对玄武岩纤维混凝土(BFRC)力学性能产生的影响,在BFRC中加入 3 种类型的钢纤维(端钩型、波浪型、镀铜型),钢纤维体积掺量分别为 0,0。8%,1。0%,1。2%。通过建立灰色理论GM(1,9)和BP神经网络 2 种模型预测混凝土抗压强度并对比其可靠性,结合核磁共振试验测试混凝土内孔隙变化规律。结果表明:随着钢纤维体积掺量的增加,BFRC抗压强度呈现先增大后减小趋势,其中抗压强度最优组为体积掺量 1。0%的端钩型钢纤维组,14 d抗压强度为44。51 MPa。由于钢纤维表面锈蚀,28 d抗压强度减少至 43。13 MPa;建立灰色理论GM(1,9)模型和BP神经网络模型,2 种模型预测精度均可达到要求。但BP 神经网络的预测精度更高、稳定性更好,平均相对误差为 3。81%,灰色理论模型平均相对误差为 7。55%;随着钢纤维体积掺量增加,混凝土中胶凝孔、毛细孔占比先增加后减小,因此合理加入钢纤维可使BFRC中孔隙结构得到优化,混凝土抗压强度得到提升。
Influence of steel fiber type on mechanical properties of basalt fiber concrete
In order to investigate the effects of steel fiber types and dosage on the mechanical properties of basalt fiber reinforced concrete(BFRC),three types of steel fibers(end-hook type,wave type,and copper-plated type)were added to BFRC at steel fiber volume dosage of 0,0.8%,1.0%,and 1.2%,respectively.Grey theory GM(1,9)and BP neural network models were established to predict the compressive strength of concrete and their reliabilities were compared,and nuclear mag-netic resonance testing was combined to test the change patterns of pores in concrete.The results show that with the increase of steel fiber content,the compressive strength of BFRC first increases and then decreases.Among them,the group with the best mechanical properties is the end-hook type steel fiber group with a content of 1.0% .The compressive strength at 14 days is 44.51 MPa.Due to surface corro-sion of the steel fiber,the compressive strength at 28 days decreases to 43.13 MPa.The grey theory GM(1,9)model and the BP neural network prediction model are established,for which the prediction accuracy of both models meets the requirements.However,the BP neural network has higher prediction accuracy and better stability,with an average relative error of 3.81%,and the average relative error of the grey theory model is 7.55% .As the volume of steel fiber increases,the proportion of cementitious pores and capillary pores in concrete first increases and then decreases.Therefore,reasonable addition of steel fibers can optimize the pore structure in BFRC and improve its concrete compressive strength.

basalt fiber concretesteel fibergrey theoryBP neural networknuclear magnetic resonance

张紫键、姚占全、马快乐

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广西职业师范学院土木建筑工程学院,广西 南宁 530000

内蒙古农业大学水利与土木建筑工程学院,内蒙古 呼和浩特 010018

玄武岩纤维混凝土 钢纤维 灰色理论 BP神经网络 核磁共振

内蒙古农业大学博士科研启动基金广西壮族自治区高等学校中青年教师科研基础能力提升项目

BJ2014-42024KY0935

2024

排灌机械工程学报
中国农业机械学会排灌机械分会,江苏大学流体机械工程技术研究中心

排灌机械工程学报

CSTPCD北大核心
影响因子:1.055
ISSN:1674-8530
年,卷(期):2024.42(6)
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