Machine Learning Applications To Turbulence
By using a fully convolutional neural network, accurate predictions are made of turbulent flows in an open channel. The flow fields were predicted at two different heights y+ = 15,50 in the wall-normal direction. The effect of different input parameters of the neural network have been studied by gen...
Main Authors: | , |
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Format: | Others |
Language: | English |
Published: |
KTH, Skolan för teknikvetenskap (SCI)
2020
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Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275742 |