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

Bending of Members Made of Several Materials01:08

Bending of Members Made of Several Materials

140
In analyzing a structural member composed of two different materials with identical cross-sectional areas, it is crucial to understand how their distinct elastic properties affect the member's response under load. The analysis involves assessing stress and strain distributions using the transformed section concept, which accounts for variations in material properties.
Hooke's Law determines stress in each material, stating that stress is proportional to strain but varies due to each...
140
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

249
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.
249
Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

90
The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...
90
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

576
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
576
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

625
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
625
Resultant of a General Distributed Loading01:13

Resultant of a General Distributed Loading

641
While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
641

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

Approximations of the cumulative distribution function using transport maps learning.

Chaos (Woodbury, N.Y.)·2025
Same author

Model and mesh selection from a mCRE functional in the context of parameter identification with full-field measurements.

Computational mechanics·2025
Same author

Thermal behavior of a two-story concrete building under controlled winter and heat wave scenarios in the sense-city equipment through temperature, flux and energy consumption dataset.

Data in brief·2020
Same journal

Truss structure optimization via hierarchical tree search.

Advanced modeling and simulation in engineering sciences·2026
Same journal

Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder.

Advanced modeling and simulation in engineering sciences·2025
Same journal

Response estimation and system identification of dynamical systems via physics-informed neural networks.

Advanced modeling and simulation in engineering sciences·2025
Same journal

A segregated reduced-order model of a pressure-based solver for turbulent compressible flows.

Advanced modeling and simulation in engineering sciences·2025
Same journal

Discovering non-associated pressure-sensitive plasticity models with EUCLID.

Advanced modeling and simulation in engineering sciences·2025
Same journal

Physics-informed two-tier neural network for non-linear model order reduction.

Advanced modeling and simulation in engineering sciences·2024
查看所有相关文章

相关实验视频

Updated: Jun 4, 2025

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
11:28

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

12.4K

数据驱动的材料建模基于构成关系误差.

Pierre Ladevèze1, Ludovic Chamoin1,2

  • 1CentraleSupélec, ENS Paris-Saclay, CNRS, LMPS-Laboratoire de Mécanique Paris-Saclay, Université Paris-Saclay, 4 Avenue des Sciences, 91190 Gif-sur-Yvette, France.

Advanced modeling and simulation in engineering sciences
|December 23, 2024
PubMed
概括
此摘要是机器生成的。

本研究开发了一种一般数据驱动的构成模型,用于elasto-(visco-) 塑料材料,从实验数据中学习. 构成关系错误 (CRE) 框架提供了一个几乎明确的模型配方,即使有测量噪声.

关键词:
构成关系错误 构成关系错误数据驱动的建模.这是Elasto-(粘性) 的可塑性.材料科学是一种材料科学.

更多相关视频

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

846
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.6K

相关实验视频

Last Updated: Jun 4, 2025

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
11:28

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

12.4K
Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

846
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.6K

科学领域:

  • 固体力学 固体力学是什么
  • 材料科学 材料科学 材料科学
  • 计算力学 计算力学 计算力学

背景情况:

  • 开发数据驱动的构成模型对于准确模拟材料行为至关重要.
  • 现有的模型往往难以将基于物理学的知识与实验数据相结合.
  • 在小位移下稳定的材料需要强大的构成模型框架.

研究的目的:

  • 确定稳定的elasto-(visco-) 塑料材料的数据驱动构成模型的最一般的数学形式.
  • 将物理和材料科学知识纳入数据驱动模型开发中.
  • 直接从全场实验测量中学习构成模型.

主要方法:

  • 建议采用一般的数据驱动方法,从实验数据中学习构成模型.
  • 构成关系错误 (CRE) 被介绍为一个关键工具,数据驱动模型是它的最小化器.
  • 开发了一个修改后的CRE,以考虑实验数据中的测量噪声.

主要成果:

  • 拟议的数据驱动方法为最佳构成模型提供了准明确的表述.
  • 该框架有效地从机械结构的全场测量中学习构成模型.
  • 构成关系错误 (CRE) 作为模型学习的有效目标函数.

结论:

  • 已经建立了一个基于数据的一般框架,用于从实验数据中学习构成模型.
  • 基于CRE的方法为物理知情,数据驱动的材料建模提供了一条道路.
  • 该方法强大且适应性强,即使在实验噪声的存在下也是如此.