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基于声发射技术的钢桥面板疲劳损伤监测与评估

段兰 王春生 翟慕赛 王世超 司海鹏

段兰, 王春生, 翟慕赛, 王世超, 司海鹏. 基于声发射技术的钢桥面板疲劳损伤监测与评估[J]. 交通运输工程学报, 2020, 20(1): 60-73. doi: 10.19818/j.cnki.1671-1637.2020.01.004
引用本文: 段兰, 王春生, 翟慕赛, 王世超, 司海鹏. 基于声发射技术的钢桥面板疲劳损伤监测与评估[J]. 交通运输工程学报, 2020, 20(1): 60-73. doi: 10.19818/j.cnki.1671-1637.2020.01.004
DUAN Lan, WANG Chun-sheng, ZHAI Mu-sai, WANG Shi-chao, SI Hai-peng. Monitoringand evaluation of fatigue damage for orthotropic steel deck usingacoustic[J]. Journal of Traffic and Transportation Engineering, 2020, 20(1): 60-73. doi: 10.19818/j.cnki.1671-1637.2020.01.004
Citation: DUAN Lan, WANG Chun-sheng, ZHAI Mu-sai, WANG Shi-chao, SI Hai-peng. Monitoringand evaluation of fatigue damage for orthotropic steel deck usingacoustic[J]. Journal of Traffic and Transportation Engineering, 2020, 20(1): 60-73. doi: 10.19818/j.cnki.1671-1637.2020.01.004

基于声发射技术的钢桥面板疲劳损伤监测与评估

doi: 10.19818/j.cnki.1671-1637.2020.01.004
详细信息
  • 中图分类号: U441.4

Monitoringand evaluation of fatigue damage for orthotropic steel deck usingacoustic

Funds: 

National Natural Science Foundation of China 51578073

National Ten-thousand Talents Program of China W03020659

pecial Foundation for Basic Scientific Research of Central Colleges of China 300102219309

More Information
    Author Bio:

    DUANLan(1985-), female, lecturer, PhD; E-mail: DL0310DL@163.com

    Corresponding author: WANG Chun-sheng(1972-), male, professor, PhD; E-mail: wcs2000wcs@163.com
  • 摘要: 采用多种监测技术融合手段, 对正交异性钢桥面板开展了疲劳损伤监测与评估, 包括足尺正交异性钢桥面板节段模型疲劳试验与某公路斜拉桥正交异性钢桥面板运营阶段的疲劳损伤监测; 在正交异性钢桥面板疲劳试验中, 综合采用了美国物理声学(PAC)声发射(AE)传感器、智能锆钛酸铅压电漆(PZT)传感器和应变片进行了粘贴钢板冷加固前后的疲劳裂纹监测; 对处于运营阶段的斜拉桥钢桥面板疲劳开裂区域, 采用了粘贴角钢的冷加固方法进行加固, 并对加固前后的桥梁结构开展了AE监测和应变监测以研究疲劳裂纹状态与检验冷加固方法的效果。疲劳试验与监测结果表明: PAC的AE传感器和智能PZT传感器能有效捕捉具有突发峰值与快速衰减特征的疲劳扩展信号, 二者的协同应用实现了疲劳裂纹智能感知, PAC的AE传感器组能实时捕捉纵肋上的疲劳裂纹扩展长度和方向; 粘贴钢板冷加固后, 应力水平稳定在64.8 MPa, 直到继续循环加载至512万次仍无疲劳裂纹扩展, 验证了正交异性钢桥面板粘贴钢板疲劳冷加固措施的良好加固效果; 在疲劳试验过程中, PAC的AE传感器和智能PZT传感器监测疲劳裂纹扩展结果一致性良好, 与应变片相比可实时捕捉更丰富的疲劳裂纹动态信息。对运营阶段正交异性钢桥面板疲劳监测与评估结果表明: 加固前AE监测结果峰值能量是加固后峰值能量的5倍, AE累积信号由加固前的密集分布改变为加固后的稀散分布, 表明加固后的钢桥面板疲劳裂纹处于稳定状态; 随着加载车辆行驶通过, 冷加固后的疲劳裂纹尖端应力峰值降低40%至50%;对比加固前后的24 h疲劳应力连续监测结果, 疲劳细节附近应变片的应变水平从加固前的78 MPa下降至加固后的48 MPa; AE信号峰值能量、AE累积信号和应力水平的监测结果均证明了冷加固技术对正交异性钢桥面板疲劳开裂加固的有效性。

     

  • Figure  1.  AE plane locating model

    Figure  2.  Fatigue test (unit: mm)

    Figure  3.  Measuring points arrangement

    Figure  4.  Cumulative AE hits from smart PZT sensor on rib 5

    Figure  5.  Monitoring result by commercial AE sensors

    Figure  6.  Typical waveforms during fatigue test

    Figure  7.  Fatigue cracks in longitudinal joint

    Figure  8.  Stress levels during fatigue loading process

    Figure  9.  Half cross section of steel box girder (unit: mm)

    Figure  10.  Cold reinforcement with arranged AE sensors

    Figure  11.  Energy changing trends

    Figure  12.  Distributions of accumulated AE hits

    Figure  13.  Stress levels under passing truck

    Figure  14.  Stress spectra in 24 h

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出版历程
  • 收稿日期:  2019-08-10
  • 刊出日期:  2020-02-25

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