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相关概念视频

Torsion of Noncircular Members01:16

Torsion of Noncircular Members

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Circular shafts undergoing torsional stress maintain their cross-sectional integrity due to their axisymmetric nature. This symmetry ensures an even distribution of stress, allowing the shaft to withstand torsion without distorting. In contrast, square bars, lacking this axial symmetry, experience significant distortion across their cross-sections when subjected to torsion, with the exception of along their diagonals and at lines connecting midpoints. A detailed examination of a cubic element...
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Vector Algebra: Graphical Method01:10

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Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
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Angle of Twist: Problem Solving01:13

Angle of Twist: Problem Solving

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An electric motor applies a torque of 700 N·m to an aluminum shaft, triggering a stable rotation. Two pulleys, B and C, are subjected to torques of 300 N·m and 400 N·m, respectively. The modulus of rigidity is provided as 25 GPa. With the knowledge of the length and diameter of each segment, the twist angle between the two pulleys can be computed. First, a section cut is made between pulleys B and C, and the cut cross-section is analyzed using a free-body diagram. Given that the...
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Bending and torsional moments are two fundamental concepts in structural engineering. They play an important role in understanding the behavior of materials and structures under different loading conditions.
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Toroids

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A toroid is a closely wound donut-shaped coil constructed using a single  conducting wire. In general, it is assumed that a toriod consists of  multiple circular loops perpendicular to its axis.
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相关实验视频

Updated: May 24, 2025

Magnetic Tweezers for the Measurement of Twist and Torque
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扭力图神经网络 神经网络

Cong Shen, Xiang Liu, Jiawei Luo

    IEEE transactions on pattern analysis and machine intelligence
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    概括
    此摘要是机器生成的。

    TorGNN通过结合分析扭矩 (一个拓不变量) 来增强图形神经网络 (GNN),以更好地描述图形结构. 这种新的方法显著提高了链接预测和节点分类任务的性能.

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    科学领域:

    • 图形神经网络 (GNN) 是一个神经网络.
    • 几何深度学习 (GDL)
    • 拓数据分析 拓数据分析

    背景情况:

    • 几何深度学习模型擅长通过整合几何和拓信息来分析非欧几里德数据.
    • 离散的里奇曲率已经在增强图形神经网络 (GNN) 中取得了成功.
    • 有效地描述局部图形结构对于提高GNN性能至关重要.

    研究的目的:

    • 提出TorGNN,一种新的分析扭曲增强图形神经网络模型.
    • 为了利用分析扭矩作为拓不变量来表征图形局部结构.
    • 提高GNN在链接预测和节点分类任务中的性能.

    主要方法:

    • 开发了TorGNN,一个包含分析扭曲的图形神经网络模型.
    • 使用基于扭曲的边缘分析重量公式来描述局部图形结构.
    • 计算了与每个边缘相关的局部简式复合体的分析扭矩,以权衡消息传递过程.

    主要成果:

    • 在16个不同的网络中,TorGNN在链接预测任务上表现出卓越的表现.
    • 在四种网络类型的节点分类任务中,TorGNN取得了最先进的结果.
    • 该模型始终优于现有的最先进的GNN模型.

    结论:

    • 分析扭矩是一种高效的拓不变量,用于表征图形结构.
    • 整合分析扭矩显著提高了图形神经网络的性能.
    • 托尔GNN代表了应用拓不变量到GNN的显著进步,以改进数据分析.