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相关概念视频

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

245
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...
245
Shearing Stresses in a Beam: Problem Solving01:14

Shearing Stresses in a Beam: Problem Solving

311
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...
311
Deformation of a Beam under Transverse Loading01:15

Deformation of a Beam under Transverse Loading

433
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...
433
Deflection of a Beam01:19

Deflection of a Beam

383
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...
383

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Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
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基于深度学习的linac光束建模与稀疏光束数据测量.

Sang Hee Ahn1, Jin Sung Kim2,3, Jihun Kim4

  • 1Department of Radiation Oncology, Samsung Medical Center, Seoul, Republic of Korea.

Physics in medicine and biology
|July 4, 2025
PubMed
概括
此摘要是机器生成的。

一个新的深度学习模型,linac束模型网络 (LBMnet),有效地预测了放射治疗束数据. 与传统的测量方法相比,这种方法提高了准确性并节省了时间.

关键词:
灯束形状为光束的形状.深度学习是一种深度学习.林纳克光束建模剂量深度的百分比是多少

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科学领域:

  • 医学物理 医学物理
  • 辐射瘤学 辐射瘤学
  • 机器学习 机器学习

背景情况:

  • 精确的Linac光束建模对于有效的放射治疗至关重要.
  • 传统的光束数据采集方法耗时且资源密集.

研究的目的:

  • 引入 linac 束模拟网络 (LBMnet),这是一个深度学习方法,用于高效的 linac 束模拟.
  • 为了提高产生百分比深度剂量 (PDD) 和辐射疗法的光束配置文件的准确性和效率.

主要方法:

  • 使用自动编码器架构开发了LBMnet,该架构是根据Elekta Versa HDTM linacs的稀疏单场测量训练的.
  • 采用数据增强和伪资料输入,以提高预测准确度.
  • 根据测量束数据和使用马分析 (1%/1毫米和0.5%/0.5毫米标准) 评估的临床剂量分布进行了验证的预测.

主要成果:

  • 在22厘米深度内,LBMnet实现了PDD预测准确度在±2%以内.
  • 个人资料预测显示,高剂量区域的最大差异在3%以内,半暗中偏差较小.
  • 临床剂量分布显示,超过99%和91%的患者符合1%/1毫米和0.5%/0.5毫米的标准.

结论:

  • 在放射治疗中,LBMnet显示了提高光束建模精度和效率的巨大潜力.
  • 该模型即使在有限的数据集上也提供了可靠的预测,为传统方法提供了可靠的,节省时间的替代方案.