Structural damage detection based on convolutional neural networks and population of bridges-Reference-Cited by-同舟云学术

Structural damage detection based on convolutional neural networks and population of bridges

Published:2022-10 Issue: Volume:202 Page:111747
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Teng Shuai,Chen Xuedi,Chen Gongfa,Cheng Li,Bassir David

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference34 articles.

1. A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications;Avci;Mech. Syst. Sig. Process.,2021

2. The Vibration Monitoring Methods and Signal Processing Techniques for Structural Health Monitoring: A Review;Goyal;Arch. Comput. Methods Eng.,2016

3. Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures -a review;Zou;J. Sound Vib.,2017

4. Damage detection in bridges using accurate modal parameters;Dutta;Finite Elem. Anal. Des.,2004

5. Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization;Cha;Comput.-Aided Civ. Infrastruct. Eng.,2015

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel CNN architecture for robust structural damage identification via strain measurements and its validation via full-scale experiments;Measurement;2025-01

2. Structural damage identification based on Wasserstein Generative Adversarial Network with gradient penalty and dynamic adversarial adaptation network;Mechanical Systems and Signal Processing;2024-12

3. Damage identification for UAV composite propeller blades based on transmissibility probabilistic distance and attention bidirectional temporal convolutional network;Measurement;2024-09

4. Structural damage localization based on deflection influence surfaces calculated by the three-dimensional boundary face method;Measurement;2024-08

5. Prediction of stability of a slope with weak layers using convolutional neural networks;Natural Hazards;2024-05-20