.png){kind=icon}
返回
Damage localization and quantification in plate structures using ensemble network
.png){kind=icon}
OA
AI
DOI：10.1016/j.engstruct.2024.119146.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The development of structural health monitoring has ramped up significantly in the era of machine learning. A seemingly healthy structure can possess imperceptible internal defects of any kind. Therefore, a quick and reliable damage detection system is of interest to determine if maintenance action is needed. In this study, an ensemble network involving a Convolutional Neural Network (CNN) modified from GoogLeNet is tested on two plate structures, one isotropic and the other orthotropic. The isotropic plate damage localization is readily obtained from a modified regression network, while the quantification is obtained from the ensemble network for improved accuracy. The orthotropic case also identifies the layer in which the damage occurs through an extra output parameter from the model, which makes it necessary to build a separate localization network that is assembled using the ensemble network for general cases. The accuracy of the results obtained using the ensemble network is far better than those based on the use of individual network altogether. Overall, the localization and quantification processes are accurately completed for both plate structures.
Keyword:
CNN
Damage detection
Ensemble network
Laminate
Thin Plate
Vibration-based analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.4
论文数:
2.1W
被引数:
8.7W
机构
暂无机构信息
引用论文
Structural damage detection based on convolutional neural networks and population of bridges基于卷积神经网络和桥梁种群的结构损伤检测.png)
MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏A novel and efficient xanthenic dye–organometallic ion‐pair complex for photoinitiating polymerization一种用于光引发聚合的新型高效的黄原胶染料-有机金属离子对配合物
PREAI
分享收藏Automatic void content assessment of composite laminates using a machine-learning approachCOMPOSITE STRUCTURESOAAI
COMPOSITE STRUCTURESIF7.1
OAAI分享收藏Efficient Artificial neural networks based on a hybrid metaheuristic optimization algorithm for damage detection in laminated composite structuresCOMPOSITE STRUCTURES
COMPOSITE STRUCTURESIF7.1
PREAI
分享收藏Fault diagnosis on beam-like structures from modal parameters using artificial neural networks基于模态参数的梁式结构故障诊断的人工神经网络MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏Vibration-based inverse algorithms for detection of delamination in compositesCOMPOSITE STRUCTURES
COMPOSITE STRUCTURESIF7.1
PREAI
分享收藏
A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structuresCOMPOSITE STRUCTURES
COMPOSITE STRUCTURESIF7.1
PREAI
分享收藏
查看更多内容