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相关概念视频

Deflection of a Beam01:19

Deflection of a Beam

256
Accurately determining beam deflection and slope under various loading conditions in structural engineering is crucial for ensuring safety and structural integrity. Singularity functions offer a streamlined approach to analyzing beams, especially when multiple loading functions complicate the bending moment equation.
Singularity functions, described in an earlier lesson, are powerful mathematical tools that represent discontinuities within a function commonly encountered in structural loading...
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Acceleration Vectors01:30

Acceleration Vectors

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In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
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Singularity Functions for Shear01:26

Singularity Functions for Shear

129
In structural analysis, singularity functions are crucial in simplifying the representation of shear forces in beams under discontinuous loading. These functions describe discontinuous  variations in shear force across a beam with varying loads by using a single mathematical expression, regardless of the complexity of the loading conditions. The singularity functions are derived from creating a free-body diagram of the beam and then making conceptual cuts at specific points to examine the...
129
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

3.9K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
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Shearing Stresses in a Beam: Problem Solving01:14

Shearing Stresses in a Beam: Problem Solving

182
A cantilever beam with a rectangular cross-section under distributed and point loads experiences shearing stresses. The analysis begins by identifying the loads acting on the beam. Then, the reactions at the beam's fixed end are calculated using equilibrium equations. The vertical reaction is a combination of the distributed and point loads, while the moment reaction is the sum of their moments. The shear force distribution along the beam, resulting from these loads, is established by...
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Accelerating Fluids01:17

Accelerating Fluids

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When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
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Updated: Jun 24, 2025

Molecular Beam Mass Spectrometry With Tunable Vacuum Ultraviolet VUV Synchrotron Radiation
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Molecular Beam Mass Spectrometry With Tunable Vacuum Ultraviolet VUV Synchrotron Radiation

Published on: October 30, 2012

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一个一般化表达式,用于加速光束分解模拟.

Jaren N Ashcraft, Ewan S Douglas, Ramya Anche

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    此摘要是机器生成的。

    这项研究加速了光学系统模拟的高斯波束分解 (GBD). 新方法显著提高了计算效率,使复杂光学现象的参数优化速度更快.

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    09:53

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    Direct Imaging of Laser-driven Ultrafast Molecular Rotation
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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 计算物理 计算物理

    背景情况:

    • 基于里叶变换的对轴衍射建模对于光学系统来说是常见的.
    • 非偏轴系统需要混合传播物理,导致像高斯式光束分解 (GBD) 这样的光束分解算法.

    研究的目的:

    • 为了提高 GBD 算法的计算效率.
    • 为参数空间搜索开发一种加速的GBD方法.

    主要方法:

    • 通过使用beamlets对倾斜平面的分析传播,衍生出了另一种GBD表达式.
    • 采用了参数空间搜索的加速算法来构建分析的Airy函数.

    主要成果:

    • 与之前的算法相比,新的GBD算法实现了CPU的34倍加速度和GPU的67,513倍加速度.
    • 成功使用加速方法来找到Airy函数构建的最佳GBD参数.

    结论:

    • 衍生的GBD算法为光学系统模拟提供了大量的计算加快.
    • 这种加速促进了高效的参数优化和复杂的光学功能的合成.