Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring

Shanwu Li; Suchao Li; Shujin Laima; Hui Li

doi:10.1002/stc.2772

journal article May 05, 2021

Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring

Shanwu Li

Suchao Li

Shujin Laima

Hui Li

Structural Control and Health Monitoring Vol. 28 No. 8 · Wiley

View at Publisher Save 10.1002/stc.2772

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References

Details

Published: May 05, 2021
Vol/Issue: 28(8)
License: View

Authors

S

Shanwu Li

School of Civil Engineering Harbin Institute of Technology Harbin China

S

Suchao Li

School of Ocean Engineering Harbin Institute of Technology (Weihai) Weihai China

S

Shujin Laima

School of Civil Engineering Harbin Institute of Technology Harbin China; Key Lab of Smart Prevention and Mitigation for Civil Infrastructures Ministry of Industry and Information Technology Harbin China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin China

H

Hui Li

School of Civil Engineering Harbin Institute of Technology Harbin China; Key Lab of Smart Prevention and Mitigation for Civil Infrastructures Ministry of Industry and Information Technology Harbin China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin China

Funding

National Natural Science Foundation of China Award: 51638007

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China Award: 2018YFC0705605

Cite This Article

Shanwu Li, Suchao Li, Shujin Laima, et al. (2021). Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring. Structural Control and Health Monitoring, 28(8). https://doi.org/10.1002/stc.2772

Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring

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