您当前的位置:
首页 >
文章列表页 >
Acoustic Emission Localization Model of Concrete Material Based on Convolutional Neural Network
CIVIL ENGINEERING | 更新时间:2026-01-23
    • Acoustic Emission Localization Model of Concrete Material Based on Convolutional Neural Network

    • In the field of hydraulic concrete health monitoring, experts have constructed an acoustic emission localization model based on convolutional neural networks, which achieves fast and accurate localization of damage sources and provides reference for non-destructive testing.
    • Advanced Engineering Sciences   Vol. 57, Issue 6, Pages: 231-241(2025)
    • DOI:10.12454/j.jsuese.202400554    

      CLC: TV41
    • Received:17 July 2024

      Revised:2024-09-24

      Published Online:29 September 2024

      Published:20 November 2025

    移动端阅览

  • Deng Yongdong,Zhou Jingren,Lu Xiang,et al.Acoustic emission localization model of concrete material based on convolutional neural network[J].Advanced Engineering Sciences,2025,57(6):231‒241. DOI: 10.12454/j.jsuese.202400554.

  •  
  •  

0

Views

556

下载量

4

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Evolution of Acoustic Emission Characteristics During Soil Shear Testing Based on Active Waveguide System
Fault Diagnosis Method for Transformer Winding Based on the Load Normalized Lissajous Graphical Analysis of Leakage Magnetic Field
Micro-electrical Discharge Machining of Micro-holes Based on Integrated Orthogonal Experiments and CNN Methods
Acoustic Emission Characteristics and Damage Constitutive Model of Roof Sandstone During Direct Tensile Failure

Related Author

DENG Yongdong
ZHOU Jingren
LU Xiang
CHEN Jiangkang
LIU Yonghong
WANG Xuemei
ZHANG Man
WU Xin

Related Institution

State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resources & Hydropower, Sichuan University
Meishan City Emergency Management Bureau
Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University
College of Engineering, Sichuan Normal University
College of Information Science and Engineering, Northeastern University
0