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相关概念视频

Dynamic Modulus of Elasticity of Concrete01:16

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The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
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A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This...
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Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
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相关实验视频

Updated: Jan 10, 2026

Investigating the Potential of Singly Curved Thin Piezoelectric Transducers for Energy Harvesting and Structural Health Monitoring
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基于声辐射信号分解的复合结构的多模式合损坏分类方法.

Yinmin Zhu1, Wenhao Li2, Jing Lin3

  • 1School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.

Ultrasonics
|November 23, 2025
PubMed
概括

这项研究引入了一种新的框架,用于使用声辐射 (AE) 信号分解来分类复合结构损伤. 该方法准确地识别损伤模式,改善结构健康监测.

关键词:
声波发射是一种声波发射.复合结构是复合结构的结构.机器学习是机器学习.多模式合器损坏损坏波段数据包的分解

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科学领域:

  • 材料科学 材料科学 材料科学
  • 结构健康监测 结构健康监测
  • 声波辐射测试试验 声波辐射测试试验

背景情况:

  • 多模式损坏合使复合结构中损坏的准确分类变得复杂.
  • 由于信号干扰,现有的方法难以区分各种损坏类型.

研究的目的:

  • 开发一个强大的损害分类框架,用于复合结构使用声辐射 (AE) 信号分解.
  • 准确识别和量化不同损坏模式,即使多种损坏类型同时发生.

主要方法:

  • 通过皮尔森相关性,主要组件分析和等级聚类来生成峰值频率规范化计数频谱.
  • 为AE信号分析开发定制的波形包分解过器.
  • 通过对粘合复合材料接头的拉力测试进行验证,并与K-means方法进行比较.

主要成果:

  • 拟议的方法可以在三种损伤类型中实现一致的能量比例 (30%-40%).
  • 粘合剂解接的正常化能量比率达到或超过了50%,表明高精度.
  • 该框架有效地减轻了多模式损坏合的影响,性能优于K-means.

结论:

  • 开发的框架更准确地反映了复合结构中真正的损伤状况.
  • 这种方法为加强复合材料的健康监测提供了一个新的视角.
  • 该方法处理损坏合的能力对于可靠的结构完整性评估至关重要.