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相关概念视频

Maximum Deflection01:13

Maximum Deflection

437
When analyzing beams under unsymmetrical loads, such as a train moving on a bridge, it is crucial to accurately determine the points of maximum stress and deflection. The process involves identifying the maximum deflection of the beam, which may not always occur at its midpoint due to the uneven distribution of the load.
The maximum deflection occurs at a specific point, known as point O, where the tangent to the deflection curve is horizontal. To find point O, the slope of the tangent at any...
437
Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

349
The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
349
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

111
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...
111
Eccentric Loading01:16

Eccentric Loading

319
Eccentric loading is a crucial concept in the study of structural engineering and mechanics, particularly when analyzing the stability and stress distribution in columns. Unlike centric loading, where the force is applied along the centroidal axis, causing uniform compression, eccentric loading occurs when a force is applied off-center. This off-center application introduces not only direct compressive stress but also bending stress, significantly influencing the column's behavior under...
319
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

38
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
38
Elastic Curve from the Load Distribution01:16

Elastic Curve from the Load Distribution

155
The structural behavior of beams under distributed loads is critical for engineering analysis, which focuses on predicting how beams bend and react under such conditions. Different types of beams (e.g., cantilever, supported, or overhanging) behave differently under distributed load conditions.
For all beams, the analysis of the beam's reaction to distributed loads begins by understanding the relationship between a beam's load and the resulting shear forces and bending moments.
155

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相关实验视频

Updated: Jun 3, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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人工智能增强的物联网系统用于评估在驱动条件下的桥梁偏移.

Leonardo Iacussi1, Paolo Chiariotti1, Alfredo Cigada1

  • 1Department of Mechanical Engineering, Politecnico di Milano, Via Privata Giuseppe la Masa 1, 20156 Milano, Italy.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
概括

本研究介绍了使用数字MEMS传感器和边缘AI进行桥梁结构健康监测 (SHM) 的成本效益高的方法. 它可以通过对车辆的间接测量来准确预测桥梁倾斜行为,从而提高了SHM的可扩展性.

科学领域:

  • 土木工程 土木工程是指土木工程.
  • 结构健康监测 结构健康监测
  • 物联网 (IoT) 的物联网 (IoT) 的物联网.

背景情况:

  • 增加的道路交通挑战了桥梁和大桥的结构完整性.
  • 间接结构监测为基础设施评估提供了一个可扩展和经济的解决方案.
  • 现有的方法可能缺乏成本效益和广泛适用性.

研究的目的:

  • 探索用于间接桥梁结构健康监测 (SHM) 的新型传感策略.
  • 将数字MEMS传感器与智能物联网基础设施集成,用于桥梁偏移预测.
  • 为了利用边缘人工智能实时分析结构性行为.

主要方法:

  • 开发一个实验设置,包括桥梁模型和传感器驾驶的车辆.
  • 在车辆的智能传感节点上部署各种桥梁偏移估计模型.
  • 利用边缘人工智能功能进行车载数据处理和分析.

主要成果:

  • 展示了数据驱动技术在提高低成本传感器性能方面的潜力.
  • 通过基于车辆的间接测量,验证了通过评估静态桥梁倾斜形状的可行性.
  • 展示了边缘AI在预测桥梁偏移行为的有效性.
关键词:
物联网基础设施物联网物联网基础设施物联网物联网.在 MEMS 传感器上.边缘AI 是一个AI.间接的SHM是间接的SHM.智能传感器智能传感器

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结论:

  • 使用MEMS传感器和物联网的间接SHM提供了一个具有成本效益和可扩展的方法.
  • 边缘人工智能集成增强了用于结构监测的低成本传感器的能力.
  • 这种方法对改善桥梁和高架桥的维护和安全具有显著的前景.