Physics-guided deep learning framework for predictive modeling of bridge vortex-induced vibrations from field monitoring-Reference-Cited by-同舟云学术

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Physics-guided deep learning framework for predictive modeling of bridge vortex-induced vibrations from field monitoring

Published:2021-03-01 Issue:3 Volume:33 Page:037113
ISSN:1070-6631
Container-title:Physics of Fluids
language:en
Short-container-title:Physics of Fluids

Author:

Li Shanwu¹^ORCID,Laima Shujin¹²³^ORCID,Li Hui¹²³^ORCID

Affiliation:

1. School of Civil Engineering, Harbin Institute of Technology, Harbin, China

2. Key Lab of Smart Prevention and Mitigation for Civil Infrastructure, Ministry of Industry and Information Technology, Harbin, China

3. Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0032402

Reference51 articles.

1. Wind induced dynamic response of the Wye bridge

2. Deer Isle Bridge: Field and Computed Vibrations

3. Wind‐Induced Motions of Deer Isle Bridge

4. The prototype testing of Kessock Bridge: response to vortex shedding

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

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