Structural Damage Detection in the Wooden Bridge Using the Fourier Decomposition, Time Series Modeling and Machine Learning Methods

Structural Damage Detection in the Wooden Bridge Using the Fourier Decomposition, Time Series Modeling and Machine Learning Methods

In this article, a novel approach has been employed to identify structural damage in the wooden bridge structure by utilizing vibration data. This method encompasses the Fourier decomposition method that decompose the response of the bridge into a sequence of Fourier Intrinsic Band Functions (FIBF)....

Full description

Bibliographic Details
Main Authors: Younes Nouri, Farzad Shahabian, Hashem Shariatmadar, Alireza Entezami
Format: Article
Language:English
Published: Pouyan Press 2024-04-01
Series:Journal of Soft Computing in Civil Engineering
Subjects:
structural health monitoring
damage detection
the fourier decomposition method
time series
machine learning
Online Access:https://www.jsoftcivil.com/article_180884_a67d1d7af0d29fc2c4739a8fd713a7e8.pdf

Internet

https://www.jsoftcivil.com/article_180884_a67d1d7af0d29fc2c4739a8fd713a7e8.pdf

Similar Items