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相关概念视频

Deformations in a Transverse Cross Section01:21

Deformations in a Transverse Cross Section

283
When a material is subjected to uniaxial stress, it elongates or contracts in the direction of the applied force, and also undergoes changes in the perpendicular directions. This behavior is crucial for understanding how materials behave under stress and is governed by mechanical properties such as Poisson's ratio v, which measures the ratio of transverse strain to axial strain.
As the material stretches, it expands or contracts in orthogonal directions to the load. This phenomenon varies...
283
Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

133
The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...
133
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

192
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
192
Deformation of a Beam under Transverse Loading01:15

Deformation of a Beam under Transverse Loading

337
Understanding beam deflection, particularly for indeterminate beams with overhanging segments and multiple concentrated loads, is crucial for ensuring structural integrity and functionality. The process begins with constructing an accurate free-body diagram, which helps identify the forces and moments acting on the beam. This diagram is vital for visualizing how bending moments vary along the beam's length, influencing its curvature.
The insights from the bending moment diagram extend to...
337
Deformations in a Symmetric Member in Bending01:18

Deformations in a Symmetric Member in Bending

245
When analyzing the deformation of a symmetric prismatic member subjected to bending by equal and opposite couples, it becomes clear that as the member bends, the originally straight lines on its wider faces curve into circular arcs, with a constant radius centered at a point known as Point C. This phenomenon helps to understand the stress and strain distribution within the member more clearly.
When the member is segmented into tiny cubic elements, it is observed that the primary stress...
245
Unsymmetric Loading of Thin-Walled Members01:23

Unsymmetric Loading of Thin-Walled Members

133
Thin-walled members with non-symmetrical cross-sections are vital to engineering structures, offering material efficiency and structural integrity. However, unsymmetrical loading on these members leads to complex stress distributions, resulting in simultaneous bending and twisting can cause deformation or structural failure. The interaction between bending and twisting requires detailed analysis to ensure structural resilience.
The concept of the shear center is crucial in countering the...
133

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相关实验视频

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Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging
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基于FOSS的方法用于薄壁结构的变形感知和形状重建.

Huifeng Wu1,2, Rui Dong3, Qiwei Xu1

  • 1School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin 541004, China.

Micromachines
|July 8, 2023
PubMed
概括

这项研究引入了一种结合光纤传感器系统 (FOSS) 和机器学习的新方法,以准确地重建柔性薄壁结构的变形. 该方法增强了飞机机翼和太阳能电池板等应用程序的实时监控能力.

关键词:
在BP神经网络中,神经网络纤维光学传感器系统系统一个级别的SVM.形状重新配置,重新配置.

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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
  • 计算力学 计算力学 计算力学

背景情况:

  • 灵活的薄壁结构在航空航天和可再生能源方面至关重要.
  • 准确的变形感知和形状重建对于它们的性能和安全至关重要.
  • 现有的方法在精度和实时监控方面经常面临挑战.

研究的目的:

  • 开发一种准确的方法来对柔性薄壁结构的变形感知和形状重建.
  • 将光纤传感器系统 (FOSS) 与机器学习技术相结合.
  • 为实时监控和分析提供一种新方法.

主要方法:

  • 使用ANSYS有限元分析进行应变测量和变形数据收集.
  • 采用一类支向量机 (OCSVM) 模型来识别和删除异常值.
  • 开发了一个神经网络模型,以建立应变值和变形变量 (x,y,z轴) 之间的映射关系.

主要成果:

  • 提出的方法实现了2.01% (x轴),29.49% (y轴) 和15.52% (z轴) 的最大误差.
  • 尽管在小变形时,y和z方向的错误较大,但重建的形状与实际变形状态保持良好的一致性.
  • 在变形分析中,FOSS和机器学习的整合被证明是有效的.

结论:

  • 结合FOSS和机器学习方法,为灵活的薄壁结构的实时监控和形状重建提供了高度准确的解决方案.
  • 这种方法为分析诸如翅膀,直升机叶片和太阳能电池板等结构提供了宝贵的工具.
  • 这项研究表明了先进的计算和传感技术在结构健康监测中的潜力.