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

Measurements of Strain01:27

Measurements of Strain

993
Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain...
993
Transformation of Plane Strain01:12

Transformation of Plane Strain

168
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...
168
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

221
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
221
Strain Energy01:13

Strain Energy

440
Strain energy is a fundamental concept in the field of materials science and structural engineering, describing the energy absorbed by a material or structure when it is deformed under load.
Consider a rod that is fixed at one end and subjected to an axial force at the free end. This axial force induces stress within the rod, leading to its elongation. As the axial force increases, so does the elongation of the rod, illustrating a direct relationship between the force applied and the resulting...
440
Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

195
As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
195
Mohr's Circle for Plane Strain01:18

Mohr's Circle for Plane Strain

533
Mohr's circle is a crucial graphical method used to analyze plane strain by plotting strain on a set of cartesian coordinates, where the abscissa is normal strain ∈ and the ordinate is shear strain γ. Similarly to Mohr’s circle for plane stress, two points X and Y are plotted. Their coordinates are (∈x, -γXY) and (∈Y, γXY), respectively.
Mohr's circle visually represents the strain states under various conditions, which is essential for...
533

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

Deep learning-based AI model for predicting academic success and engagement among physical higher education students.

Scientific reports·2025
Same author

A single non-coding SNP in FPGS modulates folate drug efficacy in acute lymphoblastic leukemia: data-driven exploration and experimental validation.

Molecular biomedicine·2025
Same author

Imaging brain inflammation and blood brain barrier permeability in neurological and psychiatric diseases: a review.

Journal of neuroinflammation·2025
Same author

The ethylene biosynthesis enzyme ACS3 acts as a key regulator of grain yield in rice.

Molecular breeding : new strategies in plant improvement·2025
Same author

Aluminum Exposure Leads to Aβ Deposition via the ciRs-7 Pathway.

Biological trace element research·2025
Same author

Effects of irrigation and fertilization management on kiwifruit yield, water use efficiency and quality in China: A meta-analysis.

Frontiers in plant science·2025

相关实验视频

Updated: Jul 11, 2025

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
07:58

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

Published on: August 7, 2017

9.4K

从基于机器学习的钻井应变数据中提取地震前异常.

Chengquan Chi1, Chenyang Li1, Ying Han2

  • 1School of Information Science and Technology, Hainan Normal University, Haikou, China.

Scientific reports
|November 17, 2023
PubMed
概括

这项研究引入了一种新的机器学习方法,用于分析钻井应变数据,改进地震前体检测. 该方法揭示了地震前的一致的异常,有助于理解地的应力模式,以便更好地准备地震.

更多相关视频

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.1K

相关实验视频

Last Updated: Jul 11, 2025

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
07:58

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

Published on: August 7, 2017

9.4K
Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.1K

科学领域:

  • 地质物理学 地质物理学
  • 地震学 地震学
  • 机器学习 机器学习

背景情况:

  • 钻井孔应变监测对于地震前体研究至关重要.
  • 传统方法面临着来自连续观测的大数据的挑战.
  • 机器学习的进步为数据分析提供了新的可能性.

研究的目的:

  • 开发一种先进的算法,用于处理和分析钻井井应变数据.
  • 为了更有效地识别和描述地震前的异常.
  • 为了研究大地震之前的共同地压力模式.

主要方法:

  • 提出了一个细分变化模式分解方法.
  • 开发了一个GRU-LUBE深度学习网络.
  • 将算法应用于来自Guza站的温chuan和Lushan地震的四组分钻井应变数据.

主要成果:

  • 该算法在分解过程中增强了数据相关性,并改善了对菌株变化的预测.
  • 与先前的研究相比,更全面的地震前异常被提取出来.
  • 统计分析显示,在两次大地震发生之前,类似的异常现象也发生过.

结论:

  • 这些发现表明,在温chuan和Lushan地震之前,地的压力积累和释放模式是共同的.
  • 开发的方法为地震前体研究提供了更有效的工具.
  • 需要进一步的研究,通过了解潜在的机制来完善地震预测能力.