Vehicle stochastic response prediction of sea-crossing railway bridges under correlated wind and wave via machine learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Ocean Engineering,Environmental Engineering
Reference39 articles.
1. A new look at the statistical model identification;Akaike;IEEE Trans. Automat. Control,1974
2. Response sensitivity for probabilistic damage assessment of coastal bridges under surge and wave loading;Ataei;Transport. Res. Rec.,2010
3. Statistical and spectral analysis of wind characteristics relevant to wind energy assessment using tower measurements in complex terrain;Belu;J. Wind Energy,2013
4. Crosswind action on rail vehicles: wind tunnel experimental analyses;Bocciolone;J. Wind Eng. Ind. Aerod.,2008
5. Pattern Recognition and Machine Learning;Bishop,2006
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