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基于磁场梯度张量局部模量的钢筋锈蚀监测方法

江胜华,侯建国,何英明

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江胜华, 侯建国, 何英明. 基于磁场梯度张量局部模量的钢筋锈蚀监测方法[J]. 江南娱乐网页版入口官网下载安装学报, 2021, 56(6): 1176-1184. doi: 10.3969/j.issn.0258-2724.20191174
引用本文: 江胜华, 侯建国, 何英明. 基于磁场梯度张量局部模量的钢筋锈蚀监测方法[J]. 江南娱乐网页版入口官网下载安装学报, 2021, 56(6): 1176-1184.doi:10.3969/j.issn.0258-2724.20191174
JIANG Shenghua, HOU Jianguo, HE Yingming. Steel Corrosion Monitoring Based on Partial Modulus of Magnetic Gradient Tensor[J]. Journal of Southwest Jiaotong University, 2021, 56(6): 1176-1184. doi: 10.3969/j.issn.0258-2724.20191174
Citation: JIANG Shenghua, HOU Jianguo, HE Yingming. Steel Corrosion Monitoring Based on Partial Modulus of Magnetic Gradient Tensor[J].Journal of Southwest Jiaotong University, 2021, 56(6): 1176-1184.doi:10.3969/j.issn.0258-2724.20191174

基于磁场梯度张量局部模量的钢筋锈蚀监测方法

doi:10.3969/j.issn.0258-2724.20191174
基金项目:国家自然科学基金(51208078);重庆市技术创新与应用示范社会民生类项目(cstc2018jscx-msybX0028);中国博士后科学基金(2017M622977);重庆市博士后科研项目(XmT2018028)
详细信息
    作者简介:

    江胜华(1982—),男,副教授,博士,研究方向为结构健康监测等,E-mail:jiangsh@whu.edu.cn

  • 中图分类号:TU37

Steel Corrosion Monitoring Based on Partial Modulus of Magnetic Gradient Tensor

  • 摘要:

    为研究钢筋混凝土中钢筋锈蚀的无损及定量监测方法,分析地球背景磁场和环境干扰磁场的影响,探讨钢筋的锈蚀率与磁场梯度张量局部模量的理论公式. 通过8根钢筋进行通电加速锈蚀试验模拟钢筋不同程度的锈蚀. 研制钢筋锈蚀监测系统,测量锈蚀前后钢筋的磁感应强度,采用磁场梯度张量局部模量反演钢筋的锈蚀率. 试验结果表明:在钢筋锈蚀后测试的磁感应强度曲线发生非等距离的偏移,磁感应强度绝对值相比锈蚀前有增大也有降低,没有一致性的规律;在锈蚀后钢筋磁场梯度绝对值及局部模量的平均值减小;在钢筋锈蚀的磁场监测中,钢筋自身的磁场梯度及局部模量远远大于环境磁场,环境磁场的梯度及其局部模量可忽略不计;8根试件的计算锈蚀率与试验中实际失重率的最小误差为0.22%,最大误差为9.40%,误差的平均值为3.92%,误差的标准差为3.32%.

  • 图 1锈蚀监测试验示意

    Figure 1.Schematic diagram of corrosion monitoring

    图 2环境磁场的磁感应强度

    Figure 2.Environmental magnetic field intensity

    图 3环境磁场的磁场梯度

    Figure 3.Environmental magnetic gradient

    图 4环境磁场的磁场梯度局部模量

    Figure 4.Partial modulus of environmental magnetic field

    图 5钢筋锈蚀前、后的磁感应强度

    Figure 5.Magnetic field intensity of rebar before and after corrosion

    图 6钢筋锈蚀前、后的磁场梯度

    Figure 6.Magnetic gradient of rebar before and after corrosion

    图 7钢筋锈蚀前后的磁场梯度局部模量

    Figure 7.Partial modulus of rebar before and after corrosion

    表 1试件设计

    Table 1.Specimen design

    编号 D0/mm l0/m m0/g t/d
    1 9.54 503 278.74 4
    2 9.43 481 261.81 4
    3 9.43 484 265.83 4
    4 9.39 485 266.93 4
    5 9.48 504 275.56 4
    6 9.44 495 272.38 4
    7 9.72 500 277.48 5
    8 9.60 496 274.91 5
    下载: 导出CSV

    表 2钢筋锈蚀前后对比

    Table 2.Comparison before and after corrosion

    编号 D0/mm Dc/mm l0/mm lc/mm m0/g mc/g ζ/%
    1 9.54 7.90 503 498 278.74 201.70 27.64
    2 9.43 8.82 481 478 261.81 237.87 9.14
    3 9.43 7.99 484 480 265.83 181.57 31.70
    4 9.39 9.19 485 481 266.93 244.68 8.34
    5 9.48 8.85 504 502 275.56 231.47 16.00
    6 9.44 9.08 495 492 272.38 249.73 8.32
    7 9.72 8.88 500 499 277.48 237.56 14.39
    8 9.60 9.08 496 491 274.91 249.26 9.33
    下载: 导出CSV

    表 3环境磁场参数绝对值的平均值

    Table 3.Average absolute values of environmental magnetic

    $E\left( {\left| { {B_{{\rm{S} }x} } } \right|} \right)$/nT $E\left( {| { {B_{{\rm{S} }y} } } |} \right)$/nT $E\left( {\left| { {B_{{\rm{S} }{\textit{z}}} } } \right|} \right)$/nT $E\left( {| { {B_{{\rm{S} }xy} } } |} \right)$/(nT•mm−1 $E\left( {| { {B_{{\rm{S}}yy} } }|} \right)$/(nT•mm−1 $E\left( {| { {B_{{\rm{S}}{\textit{z}}y} } } |} \right)$/(nT•mm−1 $E\left( { { {C_{{\rm{S} }y}} } } \right)$/(nT•mm−1
    29142 12439 36654 2.92 6.88 5.01 10.14
    下载: 导出CSV

    表 41号钢筋锈蚀前后磁场参数的平均值对比

    Table 4.Comparison of average values of magnetic parameters before and after corrosion of specimen No. 1

    项目 E(|Bx|)/nT E(|By|)/nT E(|Bz|)/nT E(|Bxy|)/(nT•mm−1 E(|Byy|)/(nT•mm−1 E(|Bzy|)/(nT•mm−1 ECy)/(nT•mm−1
    锈蚀前 36684.76 14767.02 47463.04 647.70 709.75 832.91 1464.17
    锈蚀后 32380.07 27619.37 38090.48 468.86 489.32 615.00 1062.76
    锈蚀后/
    锈蚀前
    0.882 7 1.870 3 0.822 5 0.723 9 0.689 4 0.738 4 0.725 8
    下载: 导出CSV

    Table 5.Comparison of calculated and measured corrosion rates

    试件编号 η/% ζ/% 误差/%
    1 27.42 27.64 0.22
    2 12.46 9.14 3.32
    3 41.10 31.70 9.40
    4 16.00 8.34 7.66
    5 18.75 16.00 2.75
    6 9.02 8.32 0.70
    7 8.83 14.39 5.56
    8 11.11 9.33 1.78
    下载: 导出CSV
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出版历程
  • 收稿日期:2019-12-11
  • 修回日期:2020-05-26
  • 网络出版日期:2020-06-03
  • 刊出日期:2020-06-03

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