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相关概念视频

Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

372
The behavior of elastoplastic materials under bending stresses, particularly in structural members with rectangular cross-sections, is crucial for predicting material responses and understanding failure modes. Initially, when a bending moment is applied, the stress distribution across the section follows Hooke's Law and is linear and elastic. This distribution means the stress increases from the neutral axis to the maximum at the outer fibers, up to the elastic limit.
As the bending moment...
372
Residual Stresses in Bending01:18

Residual Stresses in Bending

526
In the study of elastoplastic members subjected to bending moments, understanding the loading and unloading phases is crucial for assessing material behavior and structural integrity. During the loading phase, as the bending moment increases, the material initially responds elastically, adhering to Hooke's Law, where stress is directly proportional to strain. When the load exceeds the yield strength, plastic deformation occurs, resulting in permanent strain and deformation that remains even...
526
Plastic Behavior01:21

Plastic Behavior

526
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...
526
Elastin is Responsible for Tissue Elasticity01:12

Elastin is Responsible for Tissue Elasticity

3.1K
Elastic fiber contains the protein elastin along with lesser amounts of other proteins and glycoproteins. The main property of elastin is that it will return to its original shape after being stretched or compressed. Elastic fibers are prominent in elastic tissues found in skin and the elastic ligaments of the vertebral column.
Ligaments and tendons are made of dense regular connective tissue, but in ligaments not all fibers are parallel. Dense regular elastic tissue contains elastin fibers and...
3.1K
Circular Shafts - Elastoplastic Materials01:24

Circular Shafts - Elastoplastic Materials

462
The study of solid circular shafts under stress shows that within the elastic limit, stress increases directly to the distance from the shaft's center. This relationship holds until the shaft reaches a critical point of stress, beyond which it begins to yield, marking the transition from elastic to plastic deformation. At this crucial juncture, the maximum torque the shaft can endure without permanent deformation is determined, signifying the limit of its elastic behavior.
As torque on the...
462
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

556
Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
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相关实验视频

Updated: Jan 17, 2026

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
13:04

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Published on: January 18, 2022

4.8K

从动力学观测中发现神经弹性可塑性

Georgios Barkoulis Gavris1, WaiChing Sun1

  • 1Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027.

Proceedings of the National Academy of Sciences of the United States of America
|September 17, 2025
PubMed
概括

研究人员开发了一种新方法,使用神经网络和动态数据创建精确的材料模型. 这种方法克服了数据的局限性,使得用于元材料和其他应用的先进材料设计成为可能.

科学领域:

  • 计算材料科学科学 计算材料科学
  • 固体力学 固体力学是什么
  • 机器学习 机器学习

背景情况:

  • 准确的材料模型对于高准确性预测至关重要,但通常需要广泛的,难以获得的实验数据.
  • 传统和机器学习方法面临的挑战是由于专门的数据标签要求,限制了实际应用.

研究的目的:

  • 为发现可解释的可塑性模型,开发一种新的反向问题表述.
  • 为了利用动力学观测来识别材料模型,克服实验数据的局限性.

主要方法:

  • 使用一个微分模拟器,以顺的构成更新进行神经网络 (NN) 训练.
  • 采用反向传播来训练通过动力学观测参数化的NN.
  • 应用数字图像相关性技术,以准确测量位移.

主要成果:

  • 从动力学数据中成功推断出复杂的可塑性模型.
  • 展示了对构成模型发现的数据效率方法.
  • 在反向问题中克服了与加载历史依赖相关的挑战.

结论:

  • 运动观测可以有效地识别复杂的材料模型,包括可塑性.
关键词:
不同化的模拟模拟.弹性可塑性 弹性可塑性发现模型的发现优化的优化优化优化.

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  • 这种方法使得大量材料模型的生成成为可能,进步了诸如超材料设计等领域.
  • 该方法为各种工程应用中的材料建模提供了一个改变游戏规则的解决方案.