A new method to solve the Reynolds equation including mass-conserving cavitation by physics informed neural networks (PINNs) with both soft and hard constraints

Abstract In this work, a new method to solve the Reynolds equation including mass-conserving cavitation by using the physics informed neural networks (PINNs) is proposed. The complementarity relationship between the pressure and the void fraction is used. There are several difficulties in problem so...

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Bibliographic Details
Main Authors: Yinhu Xi, Jinhui Deng, Yiling Li
Format: Article
Language:English
Published: Tsinghua University Press 2024-01-01
Series:Friction
Subjects:
Online Access:https://doi.org/10.1007/s40544-023-0791-1
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