Densely connected convolutional networks for vibration based structural damage identification-Reference-Cited by-同舟云学术

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Densely connected convolutional networks for vibration based structural damage identification

Published:2021-10 Issue: Volume:245 Page:112871
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Wang Ruhua,Li Jun,Chencho ,An Senjian,Hao Hong,Liu Wanquan,Li Ling

Funder

Curtin University of Technology

Australian Research Council

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference37 articles.

1. An introduction to structural health monitoring;Farrar;Philos Trans R Soc London A Math Phys Eng Sci,2007

2. A Summary Review of Vibration-Based Damage Identification Methods;Doebling;Shock Vib Dig,1998

3. Vibration-based damage identification methods: a review and comparative study;Fan;Struct Heal Monit,2011

4. A novel unsupervised deep learning model for global and local health condition assessment of structures;Rafiei;Eng Struct,2018

5. A novel deep learning-based method for damage identification of smart building structures;Yu;Struct Heal Monit,2019

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2. Structural damage identification by using physics-guided residual neural networks;Engineering Structures;2024-11

3. Physics-guided deep learning based on modal sensitivity for structural damage identification with unseen damage patterns;Engineering Structures;2024-10

4. Vibration-based SHM of railway steel arch bridge with orbit-shaped image and wavelet-integrated CNN classification;Engineering Structures;2024-09

5. Identification of the damage location for the structural sealant based on deep learning;Journal of Building Engineering;2024-09

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