Autoregressive Deep Learning Models for Bridge Strain Prediction-Reference-Cited by-同舟云学术

Autoregressive Deep Learning Models for Bridge Strain Prediction

Published:2022 Issue: Volume: Page:150-164
ISSN:1865-0929
Container-title:Engineering Applications of Neural Networks
language:
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Author:

Psathas Anastasios Panagiotis^ORCID,Iliadis Lazaros^ORCID,Achillopoulou Dimitra V.,Papaleonidas Antonios^ORCID,Stamataki Nikoleta K.,Bountas Dimitris^ORCID,Dokas Ioannis M.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08223-8_13

Reference53 articles.

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3. Li, H., Li, S., Ou, J., Li, H.: Modal identification of bridges under varying environmental conditions: temperature and wind effects. Struct.Control Health Monit. 17, 495512 (2010)

4. Xia, Y., Chen, B., Zhou, X.Q., Xu, Y.L.: Field monitoring and numerical analysis of Tsing Ma suspension bridge temperature behavior. Struct. Control. Health Monit. 20(4), 560–575 (2013). https://doi.org/10.1002/stc.515

5. Miao, S., Koenders, E.A.B., Knobbe, A.: Automatic baseline correction of strain gauge signals. Struct. Control Health Monit, 22(1), 36–49 (2014). ISSN 1545-2263

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