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相关概念视频

Deformation of a Beam under Transverse Loading01:15

Deformation of a Beam under Transverse Loading

429
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...
429
Deflection of a Beam01:19

Deflection of a Beam

374
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...
374
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

168
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
168
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

243
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
243
Shearing Stresses in a Beam: Problem Solving01:14

Shearing Stresses in a Beam: Problem Solving

302
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...
302
Design of Prismatic Beams for Bending01:23

Design of Prismatic Beams for Bending

370
The design of prismatic beams, structural elements with a uniform cross-section, focuses on ensuring safety and structural integrity under load. The design process begins by determining the allowable stress, either from material properties tables, or by dividing the material's ultimate strength by a safety factor. This safety factor is essential for accommodating uncertainties, and varies depending on the material—timber, steel, or concrete—with each having unique strength and...
370

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基于深度学习的阶段检索,使用复杂的光束形状来进行光束形状校正.

Shengyuan Yan, Richard Off, Anil Bora Yayak

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    此摘要是机器生成的。

    本研究介绍了一种深度学习方法,用于在增材制造中纠正扭曲的激光束形状. 该方法准确地识别出偏差,改善光束形状校正和打印件质量.

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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 添加剂制造 添加剂制造 添加剂制造
    • 人工智能的人工智能

    背景情况:

    • 激光束塑造对于提高增材制造速度和部件质量至关重要.
    • 用于光束成型的相口可以因热等环境因素而扭曲.
    • 准确的相位检索对于纠正这些扭曲至关重要.

    研究的目的:

    • 开发一个阶段检索方法,以复杂的光束形状,以激光为基础的增材制造.
    • 通过识别偏差,实现精确的光束形状校正.
    • 将深度学习模型与最先进的阶段检索技术进行比较.

    主要方法:

    • 利用计算机视觉深度学习模型来分析扭曲的光束形状.
    • 使用泽尼克系数表示光学偏差.
    • 实施基于已识别的泽尼克系数的相位检索算法.

    主要成果:

    • 深度学习模型成功地从扭曲的光束形状中识别出偏差.
    • 与最先进的技术相比,拟议的方法在异常检测方面表现优越.
    • 使用基于模拟数据的深度学习方法实现了有效的光束形状校正.

    结论:

    • 深度学习为激光束成型中的相位检索和偏差校正提供了强大的解决方案.
    • 这种方法可以显著提高增材制造工艺的可靠性和精度.
    • 这些发现为更先进,更适应的基于激光的制造系统铺平了道路.