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

Liu Y, Meng X, Hu L, Bao Y, Hancock C.

Open source

DOI
10.3390/s24072091
Published
2024-03-25
Container
Sensors (Basel)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s24072091,
  title = {Application of Response Surface-Corrected Finite Element Model and Bayesian Neural Networks to Predict the Dynamic Response of Forth Road Bridges under Strong Winds.},
  author = {Liu Y and  Meng X and  Hu L and  Bao Y and  Hancock C.},
  year = {2024},
  journal = {Sensors (Basel)},
  doi = {10.3390/s24072091},
  url = {https://doi.org/10.3390/s24072091}
}

RIS

TY  - JOUR
TI  - Application of Response Surface-Corrected Finite Element Model and Bayesian Neural Networks to Predict the Dynamic Response of Forth Road Bridges under Strong Winds.
AU  - Liu Y
AU  -  Meng X
AU  -  Hu L
AU  -  Bao Y
AU  -  Hancock C.
PY  - 2024
JO  - Sensors (Basel)
DO  - 10.3390/s24072091
UR  - https://doi.org/10.3390/s24072091
ER  - 

APA

Y, L., X, M., L, H., Y, B., & C., H. (2024). 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 (Basel). https://doi.org/10.3390/s24072091

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