Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video

Guojun Deng, Zhixiang Zhou, Shuai Shao, Xi Chu, Peng Du

Open source

DOI: 10.3846/jcem.2021.15797
Published: 11
Container: Journal of Civil Engineering and Management
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3846/jcem.2021.15797,
  title = {Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video},
  author = {Guojun Deng and Zhixiang Zhou and Shuai Shao and Xi Chu and Peng Du},
  year = {2021},
  journal = {Journal of Civil Engineering and Management},
  doi = {10.3846/jcem.2021.15797},
  url = {https://doi.org/10.3846/jcem.2021.15797}
}

RIS

TY  - JOUR
TI  - Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video
AU  - Guojun Deng
AU  - Zhixiang Zhou
AU  - Shuai Shao
AU  - Xi Chu
AU  - Peng Du
PY  - 2021
JO  - Journal of Civil Engineering and Management
DO  - 10.3846/jcem.2021.15797
UR  - https://doi.org/10.3846/jcem.2021.15797
ER  -

APA

Deng, G., Zhou, Z., Shao, S., Chu, X., & Du, P. (2021). Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video. Journal of Civil Engineering and Management. https://doi.org/10.3846/jcem.2021.15797

Source records

doaj · retrieved 2026-09-27T11:00:51.069Z