Modelling vortex-induced loads using Recurrent Neural Networks
نویسندگان
چکیده
In this work recurrent neural networks of the LSTM type are used to describe unsteady fluid loading. Indirect load measurements especially useful for structural health monitoring applications. Relying on discrete spatiotemporal velocity field, both forces and corresponding displacement a cylinder subjected vortex shedding modelled.
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2021
ISSN: ['2405-8963', '2405-8971']
DOI: https://doi.org/10.1016/j.ifacol.2021.11.149