Monitoring, intelligent perception, and early warning of vortex‐induced vibration of suspension bridge-Reference-Cited by-同舟云学术

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Monitoring, intelligent perception, and early warning of vortex‐induced vibration of suspension bridge

Published:2022-01-22 Issue:5 Volume:29 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Structural Contr & Hlth

Author:

Dan Danhui¹²^ORCID,Li Houjin¹

Affiliation:

1. School of Civil Engineering Tongji University Shanghai China

2. Key Laboratory of Performance Evolution and Control for Engineering Structures of Ministry of Education Tongji University Shanghai China

Funder

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2928

Reference21 articles.

1. A critical review of the intrinsic nature of vortex-induced vibrations

2. Investigation of vortex-induced vibration of a suspension bridge with two separated steel box girders based on field measurements

3. Indirect monitoring of vortex-induced vibration of suspension bridge hangers

4. Cause investigation of high-mode vortex-induced vibration in a long-span suspension bridge

5. Storebælt suspension bridge – vortex shedding excitation and mitigation by guide vanes

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1. Machine learning models for predicting VIV amplitude of streamlined steel box girders;Structures;2024-05

2. Application of Response Surface-Corrected Finite Element Model and Bayesian Neural Networks to Predict the Dynamic Response of Forth Road Bridges under Strong Winds;Sensors;2024-03-25

3. Online Collaborative Perception of Full Bridge Deck Driving Visual of Far Blind Area on Suspension Bridge during Vortex-Induced Vibration;Sensors;2024-03-18

4. A Simplified Approach to Recognize Vortex-Induced Vibration Response Using Machine Learning;Structural Engineering International;2024-01-19

5. Structural Vibration Data Anomaly Detection Based on Multiple Feature Information Using CNN-LSTM Model;Structural Control and Health Monitoring;2023-08-05

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