Numerical analysis of corrugated tube flow using RBFNs
Paper
Paper/Presentation Title | Numerical analysis of corrugated tube flow using RBFNs |
---|---|
Presentation Type | Paper |
Authors | Mai-Duy, Nam (Author) and Tanner, Roger I. (Author) |
Editors | Lee, Jae Wook and Lee, Seung Jong |
Journal or Proceedings Title | Proceedings of the 14th International Congress on Rheology |
Number of Pages | 3 |
Year | 2004 |
Place of Publication | Seoul, Korea |
ISBN | 8995005750 |
Conference/Event | 14th International Congress on Rheology |
Event Details | 14th International Congress on Rheology Event Date 22 to end of 27 Aug 2004 Event Location Seoul, Korea |
Abstract | This paper reports the application of neural networks for the numerical analysis of steady-state axisymmetric flow through an indefinitely long corrugated tube. Meshless global radial basis function networks (RBFNs) are employed to represent all dependent variables in the governing differential equations. For a better quality of approximation, the networks used here are constructed based on the integration process rather than the usual differentiation process. Multiple spaces of network weights for each variable are converted into the single space of nodal variable values, resulting in the square system of |
Keywords | corrugated tube flows; RBFNs |
ANZSRC Field of Research 2020 | 401213. Turbulent flows |
401706. Numerical modelling and mechanical characterisation | |
490404. Combinatorics and discrete mathematics (excl. physical combinatorics) | |
Public Notes | No evidence of copyright restrictions. |
Byline Affiliations | University of Sydney |
https://research.usq.edu.au/item/9zv47/numerical-analysis-of-corrugated-tube-flow-using-rbfns
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