Application of Response Surface-Corrected Finite Element Model and Bayesian Neural Networks to Predict the Dynamic Response of Forth Road Bridges under Strong Winds.
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%0 Journal Article
%1 journals/sensors/LiuMHBH24
%A Liu, Yan
%A Meng, Xiaolin
%A Hu, Liangliang
%A Bao, Yan
%A Hancock, Craig M.
%D 2024
%J Sensors
%K dblp
%N 7
%P 2091
%T Application of Response Surface-Corrected Finite Element Model and Bayesian Neural Networks to Predict the Dynamic Response of Forth Road Bridges under Strong Winds.
%U http://dblp.uni-trier.de/db/journals/sensors/sensors24.html#LiuMHBH24
%V 24
@article{journals/sensors/LiuMHBH24,
added-at = {2024-05-17T00:00:00.000+0200},
author = {Liu, Yan and Meng, Xiaolin and Hu, Liangliang and Bao, Yan and Hancock, Craig M.},
biburl = {https://www.bibsonomy.org/bibtex/2d1a52bce06a98257ea8d43f94c58908e/dblp},
ee = {https://doi.org/10.3390/s24072091},
interhash = {69bcf38cfd2ea6d16023e153baa40d0a},
intrahash = {d1a52bce06a98257ea8d43f94c58908e},
journal = {Sensors},
keywords = {dblp},
month = {April},
number = 7,
pages = 2091,
timestamp = {2024-05-20T07:13:11.000+0200},
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.},
url = {http://dblp.uni-trier.de/db/journals/sensors/sensors24.html#LiuMHBH24},
volume = 24,
year = 2024
}
