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相关概念视频

Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

247
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
247
Transformation of Plane Strain01:12

Transformation of Plane Strain

189
When analyzing elongated structures like bars subjected to uniformly distributed loads, it is essential to understand the transformation of plane strain when coordinate axes are rotated. This transformation helps to assess how material deformation characteristics vary with orientation, which is crucial in materials science and structural engineering.
Under plane strain conditions, typical for members where one dimension significantly exceeds the others, deformations and resultant strains are...
189
Measurements of Strain01:27

Measurements of Strain

1.2K
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...
1.2K
Bending of Curved Members - Strain Analysis01:14

Bending of Curved Members - Strain Analysis

155
The mechanics of deformation in curved members, such as beams or arches, under bending moments, involve complex responses. When such a member, symmetric about the y-axis and shaped like a segment of a circle centered at point C, is subjected to equal and opposite forces, its curvature and surface lengths change significantly. This alteration results in the shift of the curvature's center from C to C', indicating a tighter curve.
The important part of bending analysis for such a member...
155

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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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基于深度学习的地下损害定位使用全场表面应变.

Ashish Pal1, Wei Meng1, Satish Nagarajaiah1,2

  • 1Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, Houston, TX 77005, USA.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括
此摘要是机器生成的。

一个新的卷积神经网络 (CNN) 使用表面应变数据检测地下损伤 (SSD). 这种人工智能模型能够准确地识别和钢等材料的结构缺陷,从而及时修复并防止故障.

关键词:
应变感应智能皮肤 应变感应智能皮肤卷积神经网络是一种卷积神经网络.损害局部化 损害局部化整场的压力是全场的.非破坏性测试是指非破坏性测试.在地下造成的破坏.

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科学领域:

  • 结构健康监测 结构健康监测
  • 在工程领域的人工智能.
  • 非破坏性测试 不破坏性测试

背景情况:

  • 结构易受老化和极端事件的影响,导致地下破坏 (SSD).
  • 及时检测SSD对于防止结构故障和确保安全至关重要.
  • 现有的方法可能无法有效地非破坏性地识别内部损伤.

研究的目的:

  • 开发和验证一个卷积神经网络 (CNN) 以准确检测SSD.
  • 为了利用表面应变测量进行像素级损伤分类.
  • 评估网络在不同材料和损坏复杂性的普遍性.

主要方法:

  • 设计用于像素级图像分割的CNN架构被采用.
  • 全场应变测量 (256x256) 被用作CNN的输入.
  • 训练数据来自对各种损坏场景的条的数值模拟.

主要成果:

  • 美国有线电视新闻网 (CNN) 获得了高的交叉对联盟 (IoU) 评分:0.790 (验证),0.794 (测试) .
  • 在钢铁数据集 (IoU 0.793) 和复杂的三重损伤病例 (IoU 0.764) 中观察到一致的性能.
  • 精确的预测与Strain Sensing智能皮肤 (S4) 的真实实验数据进行了验证.

结论:

  • 开发的CNN是一种有效的非破坏性测试方法,用于地下裂检测和定位.
  • 该网络在具有类似压力-应变行为的材料中显示出强大的通用性.
  • 该方法显示了使用先进的应变传感技术在现实世界中应用的巨大潜力.