Structural Damage Detection Using Convolutional Neural Networks Based on Modal Strain Energy and Population of Structures

DOI10.1142/S021987622230001XMaRDI QIDQ6173075

Unnamed Author, Unnamed Author, Fangsen Cui, Gongfa Chen, Shuai Teng

Publication date: 21 July 2023

Published in: International Journal of Computational Methods (Search for Journal in Brave)

zbMATH Keywords

modal strain energystructural damage detectionconvolution neural networkpopulation of structures

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Biology and other natural sciences (92-XX)

Cites Work

• Signal processing techniques for vibration-based health monitoring of smart structures
• A rule-based model for bankruptcy prediction based on an improved genetic ant colony algorithm
• Monitoring and Analysis of Ancient Building Columns on the Basis of Relative Dynamic Method
• Optimally Blended Spectral Elements in Structural Dynamics: Selective Integration and Mesh Distortion
• A Novel Constitutive Parameters Identification Procedure for Hyperelastic Skeletal Muscles Using Two-Way Neural Networks

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