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Measurements of Strain01:27

Measurements of Strain

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Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain...
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Investigations on the Deflection of Carbon-Reinforced Concrete Hollow-Core Slabs.

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相关实验视频

Updated: Jun 4, 2025

Production of a Strain-Measuring Device with an Improved 3D Printer
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在分布式光纤应变传感数据预处理方法的进步.

Bertram Richter1, Lisa Ulbrich2, Max Herbers1

  • 1Institute of Concrete Structures, TUD Dresden University of Technology, 01062 Dresden, Germany.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
概括

分布式光纤传感器 (DFOS) 提供结构健康监测 (SHM) 功能,但像应变读取异常 (SRAs) 等数据干扰阻碍了分析. 本研究介绍了先进的预处理算法来清理DFOS数据,提高SHM的准确性.

关键词:
算法基准测试的算法基准测试是一种算法.自动化自动化自动化自动化数据过的数据过.数据预处理数据的预处理.数据质量数据质量数据质量分布式光纤传感传感器软件开发软件开发软件开发结构健康监测 结构健康监测

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相关实验视频

Last Updated: Jun 4, 2025

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科学领域:

  • 工程 工程师 工程师 工程师
  • 材料科学 材料科学 材料科学
  • 传感器技术 传感器技术

背景情况:

  • 分布式光纤传感器 (DFOS) 为结构健康监测 (SHM) 提供高空间分辨率.
  • 分布式应变传感 (DSS) 数据容易受到测量干扰,如应变读取异常 (SRA),停机和噪声.
  • 这些干扰阻碍了精确的数据评估和工程结构中的损坏检测.

研究的目的:

  • 讨论DSS数据中常见干扰的特征和补救措施.
  • 介绍和评估用于DSS数据清理的先进预处理算法.
  • 为SHM应用提供灵活和模块化的预处理工作流.

主要方法:

  • 讨论常见的干扰:SRA,中断和噪音.
  • 介绍了四种先进的预处理算法:几何值方法 (GTM),异常值特定校正程序 (OSCP),滑动修改的z-score (SMZS) 和集群过器.
  • 使用模拟各种测量场景的现实基准数据集评估算法.

主要成果:

  • GTM,OSCP和SMZS在SRA检测和清除方面表现出有希望的结果.
  • 移动平均方法被认为不适合SRA补救.
  • 保持裂纹诱导的应变峰值对于可靠的裂纹监测至关重要.

结论:

  • 有效的DSS数据预处理对于成功的SHM至关重要.
  • 像GTM,OSCP和SMZS这样的先进算法显著提高了数据质量.
  • 开发的模块化工作流程提高了使用DFOS检测损坏的可靠性.