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相关概念视频

Stress Concentrations01:24

Stress Concentrations

289
Stress concentration is when stress intensifies near discontinuities such as holes or abrupt cross-sectional changes in a structural member. This localized stress can often surpass the average stress within the member. The stress distribution in flat bars, either with a circular hole or varying widths connected by fillets, can be determined experimentally using a photoelastic method. The results are based on ratios of geometric parameters like the ratio of the hole's radius to the smaller...
289
Resultant of a General Distributed Loading01:13

Resultant of a General Distributed Loading

676
While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
676
Impact Loading01:19

Impact Loading

202
Impact loading occurs when a moving object collides with a stationary structure, such as a rod with a uniform cross-sectional area fixed at one end. Under these conditions, the rod absorbs the kinetic energy from the striking object, leading to deformation and subsequent stress development. As the rod returns to its original position and reaches maximum stress, the absorbed energy, initially manifested as kinetic energy, transforms entirely into strain energy.
In cases of elastic deformation,...
202
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

386
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
386
Applications of Stress01:04

Applications of Stress

331
Consider a structure made of a boom and a rod designed to support a load. These two components are connected by a pin and stabilized by brackets and pins. The boom and the rod are detached from their supports to assess the different stresses imposed on this structure, and a free-body diagram is drawn. Then, all the forces applied, including the load acting on the structure, are identified. The reaction forces exerted on both the boom and the rod are computed using the equilibrium equations.
The...
331
Unsymmetric Loading of Thin-Walled Members01:23

Unsymmetric Loading of Thin-Walled Members

114
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...
114

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相关实验视频

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Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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使用随机配置网络检测结构损坏的轻量级和高效的方法.

Yuanming Lu1, Di Wang1, Die Liu2

  • 1School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China.

Sensors (Basel, Switzerland)
|November 25, 2023
PubMed
概括

本研究引入了一种新的随机卷积特征提取方法和随机节点删除算法,以提高结构健康监测系统 (SHMS) 中的神经网络性能. 这些进步提高了损坏检测的准确性,并降低了计算成本.

关键词:
卷积神经网络是一种卷积神经网络.多个传感器的多个传感器神经网络的修剪神经网络的修剪传感器 传感器 传感器随机配置网络的网络是随机的配置网络.结构健康监测 结构健康监测

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相关实验视频

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科学领域:

  • 工程 工程师 工程师 工程师
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 神经网络越来越多地用于结构性健康监测系统 (SHMS).
  • 高性能,低延迟网络对于将众多神经网络集成到SHMS中至关重要.
  • 传统的神经网络在SHMS中与时间数据属性和计算成本作斗争.

研究的目的:

  • 为了提高SHMS中使用振动信号的损坏检测准确性和效率.
  • 解决随机配置网络 (SCN) 在捕获时间数据和管理计算负载方面的局限性.
  • 引入新的方法来提高SCN的性能,而不依赖于反向传播.

主要方法:

  • 使用随机配置网络 (SCN) 进行损坏检测.
  • 开发了一种独立于反向传播的随机卷积特征提取方法.
  • 提出了一种随机节点删除算法,用于SCN中冗余神经元的自动修剪.

主要成果:

  • 与原来的SCN相比,随机卷积特征提取方法提高了30%的损坏检测精度.
  • 随机节点删除算法成功删除了大约10%的冗余神经元.
  • 提出的方法提高了SHMS操作的速度和准确性.

结论:

  • 开发的随机卷积特征提取和随机节点删除技术显著提高了SHMS的SCN性能.
  • 这些方法为基于振动的损伤检测提供了传统神经网络的可行替代方案.
  • 这项研究表明了更有效,更准确的结构性健康监测的途径.