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相关概念视频

Singularity Functions for Bending Moment01:18

Singularity Functions for Bending Moment

212
Singularity functions simplify the representation of bending moments in beams subjected to discontinuous loading, allowing the use of a single mathematical expression. For a supported beam AB, with uniform loading from its midpoint M to the right side end B, the approach involves conceptual 'cuts' at specific points to determine the bending moment in each segment. By cutting the beam at a point between A and M, the bending moment for the segment before reaching midpoint M is represented...
212
Deflection of a Beam01:19

Deflection of a Beam

255
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...
255
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

639
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
639
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

114
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...
114
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

186
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...
186
Prismatic Beams: Problem Solving01:15

Prismatic Beams: Problem Solving

110
In the design of a supported timber beam subjected to a distributed load, both the beam's physical dimensions and the timber's characteristics, such as its grade and species, are critical. These factors determine the allowable stress values, which are crucial for calculating the necessary beam depth to ensure structural integrity and safety.
The design begins with analyzing the beam as a free body to identify moments and force balances, thereby determining support reactions. Next, the...
110

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相关实验视频

Updated: Jun 21, 2025

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
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可适应的混合束形与子集优化算法,用于多用户大规模的MIMO系统.

Ziyang Huang1, Longcheng Yang2, Weiqiang Tan1

  • 1School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 510006, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种子集优化算法-混合波束成形 (SOA-HBF),以减少大规模MIMO系统的干扰. 新方法提高了系统容量和性能,即使在使用智能反射表面的障碍物上也是如此.

关键词:
道模型 道模型 道模型混合型光束成型 混合型光束成型智能反射表面是智能反射表面.这是一个巨大的MIMO.规范化的零强迫.在子集优化方面,优化

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科学领域:

  • 无线通信无线通信
  • 信号处理 信号处理
  • 信息理论 信息理论

背景情况:

  • 大规模MIMO系统中的混合光束成型 (HBF) 提供了诸如增加总量率和减少功耗等好处.
  • 设计有效的HBF是复杂的,用户间的干扰会降低系统性能.

研究的目的:

  • 开发一种新的混合光束成形方案,即子集优化算法-混合光束成形 (SOA-HBF),以减轻用户间的干扰.
  • 通过优化混合光束变压器来最大限度地提高系统容量.
  • 在有障碍和没有障碍的场景中评估方案的有效性,使用智能反射表面 (IRS).

主要方法:

  • 该子集优化算法 (SOA) 适应将用户集划分为子集,以优化混合束形.
  • 开发了一种包含智能反射表面 (IRS) 的系统模型,以克服通信阻塞.
  • 通过对SOA-HBF与基线方法进行比较的模拟来评估性能.

主要成果:

  • 拟议的SOA-HBF方案显著减少了用户间的干扰.
  • 与基线方法相比,模拟结果显示性能改善幅度从8.1%到59.1%.
  • 该方案在毫米波大规模MIMO和IRS辅助的全连接混合波束成形系统中都被证明有效.

结论:

  • SOA-HBF是一种有效的策略,用于在大型MIMO系统中增强混合光束成形.
  • 整合IRS进一步提高了通信效率,特别是在受阻的环境中.
  • 开发的方案为在先进的无线网络中最大限度地提高系统容量和性能提供了强大的解决方案.