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相关概念视频

Plasticity00:58

Plasticity

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Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
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Plastic Behavior01:21

Plastic Behavior

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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...
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Plastic Deformations01:14

Plastic Deformations

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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...
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Mechanically-gated Ion Channels01:12

Mechanically-gated Ion Channels

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Mechanically-gated ion channels are proteins found in eukaryotic and prokaryotic cell membranes that open in response to mechanical stress. Tension, compression, swelling, and shear stress can alter the conformation of the protein, opening a transmembrane channel that allows the passage of ions for signal transmission. In eukaryotes, mechanically-gated channels are distributed in several regions like the neurons, lungs, skin, bladder, and heart, where they play critical roles in numerous...
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Plastic Deformations of Members with a Single Plane of Symmetry01:21

Plastic Deformations of Members with a Single Plane of Symmetry

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When a structural member undergoes plastic deformation due to bending, it is crucial to understand the position of the neutral axis and the stress distribution. This member, characterized by a single plane of symmetry, exhibits a uniform stress distribution, with negative stress above the neutral axis and positive stress below. Notably, the neutral axis does not align with the centroid of the cross-section. This misalignment is typical in cases where the cross-section is not rectangular or...
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Neuroplasticity01:01

Neuroplasticity

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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
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使用EUCLID发现非关联的压力敏感可塑性模型.

Haotian Xu1,2, Moritz Flaschel2, Laura De Lorenzis2

  • 1Empa, Swiss Federal Laboratories for Material Science and Technology, Überlandstrasse 129, Dübendorf, 8600 Switzerland.

Advanced modeling and simulation in engineering sciences
|January 22, 2025
PubMed
概括
此摘要是机器生成的。

这项研究扩展了EUCLID (高效无监督立法的识别和发现) 对于压力敏感的可塑性. 该框架准确地识别单个实验的材料模型,即使有噪音数据.

关键词:
全场数据数据的全场数据.发现模型的发现非关联的流量规则 不相关的流量规则对压力敏感的可塑性稀疏回归是一种稀疏的回归.

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科学领域:

  • 计算力学是计算力学.
  • 材料科学是一种材料科学.
  • 固体机械学 固体机械学

背景情况:

  • 自动化材料模型发现对于预测材料行为至关重要.
  • 现有的方法与复杂的可塑性模型 (如压力敏感模型) 斗争.
  • 工程应用需要可解释的立宪法.

研究的目的:

  • 扩大EUCLID框架对压力敏感可塑性模型的应用.
  • 为了能够发现具有凸度和非关联流量规则的任意形状的收益率表面.
  • 为了在模型准确性和简单性之间取得平衡.

主要方法:

  • 使用数据驱动框架 (EUCLID),只需要全场移位和边界力数据.
  • 使用富里埃数列来构建材料模型库,用于收益率表面和压力敏感项.
  • 实施了促进稀疏性的规范化和凸度约束,以实现反向优化.

主要成果:

  • 成功地将EUCLID扩展到具有非关联流规则的压力敏感可塑性.
  • 使用杂的实验数据,从图书馆中展示了准确的材料模型选择.
  • 学习的构成法则以可解释的数学表达式呈现.

结论:

  • EUCLID为复杂材料模型的自动发现提供了一种有效的方法.
  • 该框架准确地捕捉了压力灵敏度,屈服表面形状和流量规则.
  • 这种方法为传统的参数识别技术提供了强大的替代方案.