水工混凝土裂缝的压电智能骨料感知试验与模拟
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TV431

基金项目:


Sensing experiment and simulation for cracks in hydraulic concrete based on piezoelectric smart aggregates
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    为有效监测裂缝的形成和发展,提出一种利用压电智能骨料量化识别裂缝的方法。制作压电智能骨料换能器,测试分析智能骨料接收信号的敏感性,优选智能骨料的传感元件类型、封装材质、输入电压和激励频率;开展裂缝位置、深度的量化传感试验,构建小波包相对能量指标,探明该指标与裂缝位置、深度间的关系;建立随机骨料有限元数值仿真模型,模拟裂缝对压电智能骨料传感信号的影响。结果表明:数值模拟结果和试验结果吻合,所构建压电智能骨料诊断指标可较好地监测混凝土结构裂缝状态,可实现连续、远程、实时监测裂缝发生和发展过程。

    Abstract:

    To effectively monitor the formation and development of cracks, a quantitative sensing method of static cracks using piezoelectric smart aggregates was proposed. The piezoelectric smart aggregate transducers were designed and the sensitivity of the sensing signals was tested and analyzed. The sensor shape, packaging material, input voltage and excitation frequency of smart aggregate were optimized. Quantitative sensing tests of crack location and depth were carried out, a relative energy index based on wavelet packet analysis was constructed, and the regular relationship among the energy indices and fracture location, depth was proved. Finally, a random aggregate FEM model was constructed to perform numerical simulation on the effect of cracks on the sensing signal. The results show that the numerical simulation results and the test results are well fitted, indicating that the use of piezoelectric intelligent aggregate can well monitor the crack damage of concrete structures. This method provides a new way for continuous, remote, and real-time monitoring of fracture occurrence and development.

    参考文献
    相似文献
    引证文献
引用本文

陈波,刘庭赫,初文婷,等.水工混凝土裂缝的压电智能骨料感知试验与模拟[J].水利水电科技进展,2021,41(6):1-6.(CHEN Bo, LIU Tinghe, CHU Wentin, et al. Sensing experiment and simulation for cracks in hydraulic concrete based on piezoelectric smart aggregates[J]. Advances in Science and Technology of Water Resources,2021,41(6):1-6.(in Chinese))

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-11-23
  • 出版日期: 2021-11-10