• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用位移-应变变换矩阵对多材料结构进行位移、应变和失效估计

Displacement, Strain and Failure Estimation for Multi-Material Structure Using the Displacement-Strain Transformation Matrix.

作者信息

Jang Hye-Lim, Han Dae-Hyun, Hwang Mun-Young, Kang Donghoon, Kang Lae-Hyong

机构信息

Department of Mechatronics Engineering, and LANL-JBNU Engineering Institute-Korea, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Korea.

Railroad Safety Research Team, Korea Railroad Research Institute, 176, Railroad Museum St, Uiwang, Gyeonggi-do 16105, Korea.

出版信息

Materials (Basel). 2020 Jan 2;13(1):190. doi: 10.3390/ma13010190.

DOI:10.3390/ma13010190
PMID:31906528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6982246/
Abstract

In this study, we propose a method to estimate structural deformation and failure by using displacement-strain transformation matrices, i.e., strain-to-displacement transformation (SDT) and displacement-to-strain transformation (DST). The proposed SDT method can be used to estimate the complete structural deformation where it is not possible to apply deformation measurement sensors, and the DST method can be used for to estimate structural failures where strain and stress sensors cannot be applied. We applied the SDT matrix to a 1D beam, a 2D plate, rotating structures and real wind turbine blades, and successfully estimated the deformation in the structures. However, certain difficulties were encountered while estimating the displacement of brittle material such as an alumina beam. The study aims at estimating the displacement and stress to predict the failure of the structure. We also explored applying the method to multi-material structures such as a two-beam bonded structure. In the study, we used alumina-aluminum bonded structures because alumina is bonded to the substrate to protect the structure from heat in many cases. Finally, we present the results of the displacement and failure estimation for the alumina-aluminum structure.

摘要

在本研究中,我们提出了一种利用位移 - 应变变换矩阵来估计结构变形和失效的方法,即应变到位移变换(SDT)和位移到应变变换(DST)。所提出的SDT方法可用于估计无法应用变形测量传感器的完整结构变形,而DST方法可用于估计无法应用应变和应力传感器的结构失效。我们将SDT矩阵应用于一维梁、二维板、旋转结构和实际风力涡轮机叶片,并成功估计了结构中的变形。然而,在估计诸如氧化铝梁等脆性材料的位移时遇到了某些困难。该研究旨在估计位移和应力以预测结构的失效。我们还探索了将该方法应用于多材料结构,如双梁粘结结构。在该研究中,我们使用了氧化铝 - 铝粘结结构,因为在许多情况下氧化铝粘结到基体上以保护结构免受热影响。最后,我们展示了氧化铝 - 铝结构的位移和失效估计结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/5e256e0e7267/materials-13-00190-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/0a03f8a0f5a3/materials-13-00190-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/6c12370f195e/materials-13-00190-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/fefc7e6ce1e4/materials-13-00190-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/8f8c5b6a6926/materials-13-00190-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/e2b4b2dc9fd9/materials-13-00190-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/520fdf5a71cf/materials-13-00190-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/f10dc6493137/materials-13-00190-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/4e2bc25b31ff/materials-13-00190-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/cee037415494/materials-13-00190-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/0095405d9b76/materials-13-00190-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/fac895365ebb/materials-13-00190-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/dd8cd89053a5/materials-13-00190-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/dc747e002da8/materials-13-00190-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/5e256e0e7267/materials-13-00190-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/0a03f8a0f5a3/materials-13-00190-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/6c12370f195e/materials-13-00190-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/fefc7e6ce1e4/materials-13-00190-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/8f8c5b6a6926/materials-13-00190-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/e2b4b2dc9fd9/materials-13-00190-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/520fdf5a71cf/materials-13-00190-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/f10dc6493137/materials-13-00190-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/4e2bc25b31ff/materials-13-00190-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/cee037415494/materials-13-00190-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/0095405d9b76/materials-13-00190-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/fac895365ebb/materials-13-00190-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/dd8cd89053a5/materials-13-00190-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/dc747e002da8/materials-13-00190-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c099/6982246/5e256e0e7267/materials-13-00190-g014.jpg

相似文献

1
Displacement, Strain and Failure Estimation for Multi-Material Structure Using the Displacement-Strain Transformation Matrix.使用位移-应变变换矩阵对多材料结构进行位移、应变和失效估计
Materials (Basel). 2020 Jan 2;13(1):190. doi: 10.3390/ma13010190.
2
Damage Detection for Rotating Blades Using Digital Image Correlation with an AC-SURF Matching Algorithm.使用具有AC-SURF匹配算法的数字图像相关技术对旋转叶片进行损伤检测
Sensors (Basel). 2022 Oct 23;22(21):8110. doi: 10.3390/s22218110.
3
Bridge Displacement Estimation Using a Co-Located Acceleration and Strain.利用同位置加速度和应变进行桥梁位移估计
Sensors (Basel). 2020 Feb 18;20(4):1109. doi: 10.3390/s20041109.
4
Modal learning displacement-strain transformation.
Rev Sci Instrum. 2019 Jul;90(7):075113. doi: 10.1063/1.5100905.
5
Research on Mechanical Properties and Damage Evolution of Pultruded Sheet for Wind Turbine Blades.风力发电机叶片拉挤板材力学性能及损伤演化研究
Materials (Basel). 2022 Aug 19;15(16):5719. doi: 10.3390/ma15165719.
6
Inverse Finite Element Method for Reconstruction of Deformation in the Gantry Structure of Heavy-Duty Machine Tool Using FBG Sensors.基于光纤布拉格光栅传感器的龙门式重型机床结构变形反演有限元方法
Sensors (Basel). 2018 Jul 6;18(7):2173. doi: 10.3390/s18072173.
7
A Wireless Passive Sensing System for Displacement/Strain Measurement in Reinforced Concrete Members.一种用于钢筋混凝土构件位移/应变测量的无线无源传感系统。
Sensors (Basel). 2016 Apr 8;16(4):496. doi: 10.3390/s16040496.
8
A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors.一种基于柔性应变传感器的智能可变形结构变形重构高精度方法。
Micromachines (Basel). 2022 Jun 8;13(6):910. doi: 10.3390/mi13060910.
9
Shape Sensing in Plate Structures through Inverse Finite Element Method Enhanced by Multi-Objective Genetic Optimization of Sensor Placement and Strain Pre-Extrapolation.通过传感器布置的多目标遗传优化和应变预外推增强的逆有限元法实现板结构形状传感
Sensors (Basel). 2024 Jan 18;24(2):0. doi: 10.3390/s24020608.
10
Shape Sensing of Plate Structures Using the Inverse Finite Element Method: Investigation of Efficient Strain-Sensor Patterns.基于逆有限元法的板结构形状传感:高效应变传感器图案研究
Sensors (Basel). 2020 Dec 9;20(24):7049. doi: 10.3390/s20247049.

本文引用的文献

1
Hybrid Composite-Metal Stack Drilling with Different Minimum Quantity Lubrication Levels.不同微量润滑水平下的混合复合金属叠层钻孔
Materials (Basel). 2019 Feb 1;12(3):448. doi: 10.3390/ma12030448.
2
3D Tendon Strain Estimation Using High-frequency Volumetric Ultrasound Images: A Feasibility Study.使用高频容积超声图像进行3D肌腱应变估计:一项可行性研究。
Ultrason Imaging. 2018 Mar;40(2):67-83. doi: 10.1177/0161734617724658. Epub 2017 Aug 23.