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相关概念视频

Yield Criteria for Ductile Materials under Plane Stress01:25

Yield Criteria for Ductile Materials under Plane Stress

140
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...
140
Plastic Behavior01:21

Plastic Behavior

185
A material's elastic behavior is characterized by the disappearance of stress once the load is removed, allowing the material to return to its original state. However, when stress surpasses the yield point, yielding commences, marking the onset of plastic deformation or permanent set. This change from elastic to plastic behavior is influenced by the peak stress value and the duration before the load is removed. An intriguing observation occurs when a specimen is loaded, unloaded, and...
185
Stress-Strain Diagram - Ductile Materials01:24

Stress-Strain Diagram - Ductile Materials

597
The stress-strain relationship in ductile materials such as structural steel or aluminium is intricate and progresses through several stages. When a specimen is loaded, it initially exhibits a linear length increase, depicted by a steep straight line on the stress-strain diagram. It indicates the material is elastically deforming and will return to its original shape once unloaded. However, when a critical stress value is reached, plastic deformation begins. This stage sees substantial...
597
Plastic Deformations01:14

Plastic Deformations

81
It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
81
Generalized Hooke's Law01:22

Generalized Hooke's Law

789
The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
789
Hooke's Law01:26

Hooke's Law

342
Hooke's law, a pivotal principle in material science, establishes that the strain a material undergoes is directly proportional to the applied stress, defined by a factor called the modulus of elasticity or Young's modulus.
342

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相关实验视频

Updated: May 28, 2025

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
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基于神经网络模型的多尺度无otropic收益率函数.

Hongchun Shang1,2, Lanjie Niu1,2, Zhongwang Tian1,2

  • 1Science and Technology on Electromechanical Dynamic Control Laboratory, Xi'an 710065, China.

Materials (Basel, Switzerland)
|February 13, 2025
PubMed
概括
此摘要是机器生成的。

一个全新的全连接神经网络 (FCNN) 模型简化了对合金的异型收益率函数校准. 这种方法通过准确预测材料异构性来增强有限元分析.

关键词:
不同类型的收益率函数的异型收益率函数.晶体的可塑性 晶体的可塑性有限元素分析的研究.多尺度建模的多尺度建模神经网络的神经网络的神经网络

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算力学 计算力学 计算力学
  • 机器学习 机器学习

背景情况:

  • 传统的异型收益率函数在参数校准和有限元素 (FE) 应用中存在挑战.
  • 工程应用需要一个统一的模型来解决异性质材料行为的复杂性.

研究的目的:

  • 开发和验证一个完全连接的神经网络 (FCNN) 模型,用于预测异型收益率表面.
  • 将FCNN模型的性能与2090-T3合金的传统模型进行比较.
  • 为FE分析创建一个统一的异型收益率函数子程序.

主要方法:

  • 对2090-T3合金的四种传统异构型模型进行校准.
  • 使用FCNN与应力元件 (α,β) 作为输入和异构性参数 (r) 作为输出.
  • 通过晶体可塑性有限元 (CPFE) 模拟生成数据集,用于各种应力状态和负载方向.

主要成果:

  • FCNN模型准确地预测了2090-T3合金的异构特性.
  • FCNN的预测与传统模型校准结果保持一致.
  • CPFE模拟证实了FCNN模型能够模拟异型行为.

结论:

  • 基于FCNN的异型收益率函数提供了一个统一的方法,简化了子程序开发.
  • 这种FCNN模型有效地捕捉了工程应用的复杂的异性质材料行为.
  • 开发的FCNN子程序增强了有限元分析中异性态行为的建模.