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Yield Criteria for Ductile Materials under Plane Stress01:25

Yield Criteria for Ductile Materials under Plane Stress

459
In designing structural elements and machine parts using ductile materials, it is crucial to ensure that these components withstand applied stresses without yielding. Yielding is initially determined through a tensile test, which evaluates the material's response to uniaxial stress. However, tensile stress is insufficient when components face biaxial or plane stress conditions This condition requires advanced criteria to predict failure.
The Maximum Shearing Stress Criterion, also known as...
459
Fatigue01:21

Fatigue

787
Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
787
Design Consideration01:22

Design Consideration

526
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
526
Thin-Walled Hollow Shafts01:15

Thin-Walled Hollow Shafts

522
In analyzing a thin-walled hollow shaft subjected to torsional loading, a segment with width dx is isolated for examination. Despite its equilibrium state, this segment faces torsional shearing forces at its ends. These forces are quantitatively described by the product of the longitudinal shearing stress on the segment's minor surface and the area of this surface, leading to the concept of shear flow. This shear flow is consistent throughout the structure, indicating a uniform distribution of...
522
Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

482
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...
482

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相关实验视频

Updated: Jan 11, 2026

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
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穿孔泡填充CFRP矩形管的防撞性预测使用机器学习的撞击盒.

Harri Junaedi1, Khaled Akkad2, Tabrej Khan1

  • 1Department of Engineering Management, College of Engineering, Prince Sultan University, Riyadh 12435, Saudi Arabia.

Polymers
|November 13, 2025
PubMed
概括

填充聚氨泡 (PUF) 的碳纤维增强聚合物 (CFRP) 管显著提高了防撞性,几乎将能量吸收量增加了三倍. 机器学习模型,特别是决策树回归器,准确预测性能,优化CFRP撞击盒设计.

关键词:
压碎试验 压碎试验能量吸收 能量吸收混合结构 混合结构是混合结构.回归算法回归算法回归算法薄墙结构结构 薄墙结构

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相关实验视频

Last Updated: Jan 11, 2026

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科学领域:

  • 材料科学与工程 材料科学与工程
  • 机械工程 机械工程
  • 计算力学 计算力学 计算力学

背景情况:

  • 碳纤维增强聚合物 (CFRP) 管具有高特异性强度和能量吸收,使其适合用于汽车撞击箱.
  • 优化防撞要求了解设计参数的影响,如孔径和内部填充.
  • 传统的实验测试 crashworthiness 是耗时且昂贵的.

研究的目的:

  • 为了研究不同孔配置和聚氨泡 (PUF) 填充的矩形CFRP管的轴向防撞性.
  • 评估孔径,数量和位置以及PUF填充对碰撞性能的影响.
  • 评估使用机器学习 (ML) 预测CFRP撞击盒性能以减少实验力度的可行性.

主要方法:

  • 准静态轴向压缩测试是在设计的CFRP管道上进行的.
  • 记录了防撞性指标,包括初始峰值力 (P_ip),平均压碎力 (P_m) 和能量吸收 (EA).
  • 多个ML算法 (DTR,LR,RR,LAR,ENs,MLP) 用于使用实验数据预测防撞指标.

主要成果:

  • 充满PUF的管道显示出显著增强的防撞性,与未充满的管道相比,PM和EA增加了近三倍.
  • 在未填充的管道中,根据直径和位置,孔具有可变的影响;在PUF填充的管道中,孔降低了性能.
  • 决策树回归器 (DTR) 模型显示出最高的预测准确度,RMSE为1251,MAPE为11.37%.

结论:

  • 聚氨泡填充对于提高CFRP管的防撞性至关重要.
  • 穿孔设计显著影响充满和未充满的CFRP管的碰撞性能.
  • 机器学习模型,特别是DTR,为优化CFRP撞击箱设计提供了可行和高效的方法.