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相关概念视频

Thin-Walled Hollow Shafts01:15

Thin-Walled Hollow Shafts

517
In analyzing a thin-walled hollow shaft subjected to torsional loading, a segment with width dx is isolated for examination. Despite its equilibrium state, this segment faces torsional shearing forces at its ends. These forces are quantitatively described by the product of the longitudinal shearing stress on the segment's minor surface and the area of this surface, leading to the concept of shear flow. This shear flow is consistent throughout the structure, indicating a uniform distribution of...
517
Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

480
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...
480
Carbon Skeletons01:12

Carbon Skeletons

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Life on Earth is carbon-based, as all macromolecules that make up living organisms contain carbon atoms. All organic compounds have a carbon backbone. Each carbon atom is tetravalent and can bond with four other atoms, making it an extraordinarily flexible component of biological molecules. Because carbon’s valence electrons are stable, it rarely becomes an ion. As the carbon chain increases in length, structural modifications such as ring structures, double bonds, and branching side...
113.8K

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相关实验视频

Updated: Jan 10, 2026

Precision Milling of Carbon Nanotube Forests Using Low Pressure Scanning Electron Microscopy
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Precision Milling of Carbon Nanotube Forests Using Low Pressure Scanning Electron Microscopy

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增强的内核搜索算法,以优化本地搜索功能,并将其应用于碳纤维草稿流程.

Ruyi Dong1, Ran Cui1, Zhennao Cai2

  • 1College of Information and Control Engineering, Jilin University of Chemical Technology, Jilin, China.

PloS one
|November 26, 2025
PubMed
概括
此摘要是机器生成的。

一个新的大型本地搜索内核搜索优化 (LLSKSO) 算法提高了本地搜索的准确性. LLSKSO提高了优化性能,并在基准测试和工程应用中显示出卓越的结果.

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Last Updated: Jan 10, 2026

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科学领域:

  • 优化算法 优化算法
  • 计算智能是一种计算智能.
  • 超听证学是一种超听证学.

背景情况:

  • 内核搜索优化 (KSO) 的局部搜索准确性有限,阻碍了有效的局部优化.
  • 现有的优化方法往往难以平衡本地利用和全球探索.

研究的目的:

  • 介绍一个新的大型本地搜索内核搜索优化 (LLSKSO) 算法.
  • 提高KSO的本地搜索能力和整体性能.

主要方法:

  • 使用好点设置机制,使初始群体均化.
  • 集成Dung Beetle Optimizer (DBO) 的搜索机制以提升本地搜索.
  • 采用Cauchy-Gaussian突变来逃避局部最佳并保持局部和全球搜索之间的平衡.

主要成果:

  • 在50个基准函数中,LLSKSO在10个已建立的算法中表现出卓越的性能.
  • 该算法在平均值,最佳值和方差方面取得了更好的统计结果.
  • 在20个高维度函数中,LLSKSO在16个函数中实现了理论上的最佳状态,将CPU运行时间减少了30%.

结论:

  • LLSKSO有效地提高了本地优化能力,并在本地和全球搜索之间实现了动态平衡.
  • 该算法在工程应用中显示了显著的改进,例如碳纤维起草比率优化.
  • LLSKSO是一个强大而高效的优化算法,适合复杂的工程问题.