Damage Identification of Railway Bridge KW51 Conditions Using Deep-Learning-Based 1D CNN Model

Damage Identification of Railway Bridge KW51 Conditions Using Deep-Learning-Based 1D CNN Model

This paper compares the damage identification outcomes of the Machine Learning (ML) and Deep Learning (DL) algorithms. The algorithms in both approaches have employed vibration data from the benchmark railway bridge KW51. The One-Dimensional Convolutional Neural Network (1D CNN) model is exploited i...

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Bibliographic Details
Main Authors: Ali Al-Ghalib, Sawsan Mahmoud
Format: Article
Language:English
Published: Pouyan Press 2025-10-01
Series:Journal of Soft Computing in Civil Engineering
Subjects:
structural health monitoring
vibration-based structural damage identification
machine learning
deep learning
one-dimension convolutional neural network
Online Access:https://www.jsoftcivil.com/article_209124_b49af15c260ec8336ee309f32c4f35cf.pdf
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