Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Transformation of Plane Strain01:12

Transformation of Plane Strain

162
When analyzing elongated structures like bars subjected to uniformly distributed loads, it is essential to understand the transformation of plane strain when coordinate axes are rotated. This transformation helps to assess how material deformation characteristics vary with orientation, which is crucial in materials science and structural engineering.
Under plane strain conditions, typical for members where one dimension significantly exceeds the others, deformations and resultant strains are...
162
Fischer Projections02:18

Fischer Projections

13.2K
Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines.
13.2K
Coordinates and Map Projections01:29

Coordinates and Map Projections

39
Coordinates and map projections are essential tools in accurately representing the Earth's surface for various applications, ranging from navigation to spatial analysis. The latitude and longitude coordinate system is a universally recognized framework for defining locations. Latitude specifies the distance of a point north or south of the equator, measured in degrees from 0° at the equator to 90° at the poles. Longitude indicates a location's position east or west of the prime meridian,...
39
Transformation of Plane Stress01:18

Transformation of Plane Stress

228
Studying stress transformation is essential in understanding how stress components within a material, like a cube under plane stress, change with rotation. This change is analyzed by considering a prismatic element within the cube. As the element rotates, the stress components acting on it—both normal and shearing stresses—change in magnitude and orientation. This change is quantified using trigonometric functions of the rotation angle, relating the forces acting on the rotated element's...
228
Spherical Coordinates01:23

Spherical Coordinates

10.2K
Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
10.2K
Plastic Deformations of Members with a Single Plane of Symmetry01:21

Plastic Deformations of Members with a Single Plane of Symmetry

89
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...
89

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Machine Learning-Enabled Layer-Wise Melting Quality Recognition for Laser Powder Bed Fusion Process via In Situ Monitoring.

Materials (Basel, Switzerland)·2026
Same author

Comparison of Neuromuscular Control Characteristics in Forehand Stroke Between International- and National-Level Squash Players: An sEMG-Based Analysis of Muscle Synergy and Intermuscular Coherence.

Sensors (Basel, Switzerland)·2026
Same author

Machine-Learning-Enabled Hydrogel Biosensors for Wearable Health Monitoring.

Gels (Basel, Switzerland)·2026
Same author

Corrigendum to "Identification and functional characterization of SmABCG24 regulating tanshinone transport in Salvia miltiorrhiza" [Int. J. Biol. Macromol. 360 (2026) 151837].

International journal of biological macromolecules·2026
Same author

Ultra-Fast Cell Sorting via Pulsed, Orifice-Free Acoustic Microjets.

ACS sensors·2026
Same author

Identification and functional characterization of SmABCG24 regulating tanshinone transport in Salvia miltiorrhiza.

International journal of biological macromolecules·2026
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 30, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.1K

使用坐标投影进行基于物理的形状优化.

Zhizhou Zhang1, Chungwei Lin1, Bingnan Wang2

  • 1Mitsubishi Electric Research Laboratories, 201 Broadway, 8th Floor, Cambridge, MA, 02139-1955, USA.

Scientific reports
|March 20, 2024
PubMed
概括
此摘要是机器生成的。

基于物理学的神经网络 (PINNs) 是工程设计的先进技术. 一个新的框架使用神经网络坐标投影进行高效的结构形状优化,克服材料属性挑战.

关键词:
坐标的投影是指一个坐标的投影.基于物理学的神经网络.优化形状的优化方式薄弱的配方配方是一种弱的配方.

更多相关视频

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K
Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
10:10

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

Published on: December 4, 2020

1.8K

相关实验视频

Last Updated: Jun 30, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.1K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K
Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
10:10

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

Published on: December 4, 2020

1.8K

科学领域:

  • 工程 工程师 工程师 工程师
  • 人工智能的人工智能
  • 材料科学 是一种材料科学.

背景情况:

  • 人工智能 (AI) 正在改变工程设计和分析.
  • 基于物理学的神经网络 (PINNs) 将物理定律集成到机器学习中,以提高准确性.
  • 由于连续性要求和复杂的梯度计算,PINNs在多种材料的结构优化中面临挑战.

研究的目的:

  • 利用PINNs开发一种用于结构形状优化的新框架.
  • 克服传统PINN方法在处理具有独特性质的材料方面的局限性.
  • 为了实现结构形状的直接优化,而无需中间材料属性定义.

主要方法:

  • 在PINNs中引入了一种使用神经网络坐标投影的新型框架.
  • 这种方法允许从标准形状直接映射到其最佳形式.
  • 该框架将各种各样的约束和目标作为培训处罚.

主要成果:

  • 拟议的方法在磁静电问题中成功优化铁芯形状,这是一项具有高材料对比度的任务.
  • 通过有限元分析的验证证实了框架的准确性和效率.
  • 该方法证明了对复杂的材料设计任务的适应性.

结论:

  • 新型神经网络坐标投影框架增强了PINN用于结构形状优化.
  • 这种方法有效地解决了具有不同性质的材料所带来的挑战.
  • 该框架为复杂的工程设计问题提供了可行的和高效的工具.