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Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

559
The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...
559
Unsymmetric Loading of Thin-Walled Members01:23

Unsymmetric Loading of Thin-Walled Members

462
Thin-walled members with non-symmetrical cross-sections are vital to engineering structures, offering material efficiency and structural integrity. However, unsymmetrical loading on these members leads to complex stress distributions, resulting in simultaneous bending and twisting can cause deformation or structural failure. The interaction between bending and twisting requires detailed analysis to ensure structural resilience.
The concept of the shear center is crucial in countering the...
462
Lumber Defects01:23

Lumber Defects

603
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
603
Reducing Line Loss01:18

Reducing Line Loss

408
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
408
Deformation of a Beam under Transverse Loading01:15

Deformation of a Beam under Transverse Loading

825
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...
825
Imperfections in Crystal Structure: Point, Line and Plane Defects01:25

Imperfections in Crystal Structure: Point, Line and Plane Defects

14
A perfect crystal, in theory, has a uniform structure with the same unit cell and lattice points throughout. However, any deviation from this periodic arrangement is known as an imperfection or defect. These defects can be categorized into three types: point, line, and plane defects.Point defects occur when there is a deviation from the ideal due to missing atoms, displaced atoms, or additional atoms. These imperfections might occur due to imperfect packing during crystallization or because of...
14

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Video Experimental Relacionado

Updated: Mar 2, 2026

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

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Un algoritmo YOLOv11 ligero mejorado para la detección de defectos en superficies de soldadura

Runmei Zhang1, Chenfei Pan1, Zihua Chen2

  • 1School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, Anhui, 230601, China.

Scientific reports
|March 1, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta YOLO-Air, un modelo YOLOv11 ligero mejorado para la detección de defectos superficiales de soldadura. El modelo mejora la precisión y reduce significativamente la carga computacional y los parámetros, ofreciendo una solución rentable.

Palabras clave:
aprendizaje profundodetección de defectosPConvYOLOv11

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Área de la Ciencia:

  • Visión por Computadora
  • Inteligencia Artificial
  • Ciencia de Materiales

Sus antecedentes:

  • La soldadura industrial enfrenta desafíos con características de defectos poco claras y fondos complejos.
  • Los modelos existentes de detección de defectos suelen ser costosos y carecen de eficiencia en la detección de defectos en superficies de soldadura.

Objetivo del estudio:

  • Proponer un modelo YOLOv11 mejorado y ligero (YOLO-Air) para una detección mejorada de defectos en superficies de soldadura.
  • Abordar las limitaciones de los modelos existentes en cuanto a costo, complejidad y precisión de detección.

Principales métodos:

  • Integración de módulos de extracción de características y convolucionales para una mejor representación de características y eficiencia.
  • Incorporación de módulos GSConv y VOV-GSCSP en la red del cuello para reducir la redundancia de características y la carga computacional.
  • Diseño de una cabeza de detección ligera para disminuir aún más la complejidad del modelo.

Principales resultados:

  • El modelo YOLO-Air demostró un rendimiento superior en los conjuntos de datos Welding Defect Test-V2 y NEU-DET.
  • Se logró una mejora del 1.3% en la métrica mAP50.
  • Se redujo el número de parámetros en un 17.3% y la complejidad computacional en un 31.7%.

Conclusiones:

  • El modelo propuesto YOLO-Air ofrece una solución eficaz y eficiente para la detección de defectos en superficies de soldadura.
  • El diseño ligero y el rendimiento mejorado del modelo lo convierten en una opción viable para aplicaciones industriales.
  • Los datos experimentales confirmaron la solidez del rendimiento del modelo YOLO-Air.