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

Microcracking in Concrete01:20

Microcracking in Concrete

104
Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
104

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

A New Definition of Peridynamic Damage for Thermo-Mechanical Fracture in Brittle Materials.

Materials (Basel, Switzerland)·2026
Same author

Thermomechanical Peridynamic Modeling for Ductile Fracture.

Materials (Basel, Switzerland)·2023
Same author

Characterization of occult hepatitis B virus infection from blood donors in China.

Journal of clinical microbiology·2011
Same author

Cardioprotective effects of Glycyrrhiza uralensis extract against doxorubicin-induced toxicity.

International journal of toxicology·2011
Same author

Nanoscale Kirkendall effect for the synthesis of Bi2MoO6 boxes via a facile solution-phase method.

Nanoscale·2011
Same author

p62/SQSTM1 involved in cisplatin resistance in human ovarian cancer cells by clearing ubiquitinated proteins.

European journal of cancer (Oxford, England : 1990)·2011

相关实验视频

Updated: Jun 9, 2025

Imaging of the Microstructural Failure Mechanism in the Human Hip
08:43

Imaging of the Microstructural Failure Mechanism in the Human Hip

Published on: September 29, 2023

772

基于图像的周动力学建模的微型CT用于复合材料的故障模拟.

Zhuo Wang1, Ling Zhang2, Jiandong Zhong1

  • 1State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116023, China.

Materials (Basel, Switzerland)
|October 26, 2024
PubMed
概括

这项研究使用计算机断层扫描 (CT) 和深度学习来模拟碳碳化碳 (C/SiC) 复合材料的裂变. 基于图像的周动力学 (IB-PD) 模型准确地预测了材料故障,降低了实验成本.

关键词:
复合材料是一种复合材料.计算机断层扫描计算机断层扫描这是深度学习.失效模拟的故障模拟围流动力学是指围流动力学.

更多相关视频

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
06:54

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

2.1K
Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
09:00

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

13.3K

相关实验视频

Last Updated: Jun 9, 2025

Imaging of the Microstructural Failure Mechanism in the Human Hip
08:43

Imaging of the Microstructural Failure Mechanism in the Human Hip

Published on: September 29, 2023

772
A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
06:54

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

2.1K
Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
09:00

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

13.3K

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
  • 图像分析 图像分析

背景情况:

  • 计算机断层扫描 (CT) 提供了详细的材料见解.
  • 计算力学通过数值模拟实现了成本效益高的结构响应预测.
  • 碳-化碳 (C/SiC) 复合材料需要准确的故障分析.

研究的目的:

  • 为了数值模拟C/SiC复合材料的拉伸裂变行为.
  • 开发一个基于图像的周动力学 (IB-PD) 模型用于故障模拟.
  • 整合深度学习,以有效地识别和建模材料.

主要方法:

  • 利用3DCT数据创建几何模型.
  • 采用基于深度学习的图像识别模型来识别材料.
  • 应用了基于纽带的周动力学 (BB-PD) 模型来进行破裂的数值模拟.

主要成果:

  • 根据CT数据,IB-PD模型准确地重建了复合微结构.
  • 模拟有效地预测了受缺陷影响的界面解接和裂传播.
  • 该模型证明了模拟矩阵损伤的能力.

结论:

  • 拟议的IB-PD方法为模拟复合故障提供了准确有效的方法.
  • 这种技术减少了昂贵的实验测试的需要.
  • 该研究强调了将CT,深度学习和周动力学整合到材料分析中的潜力.